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GSP \u548cNeural Auction\u7b49\u8fd9\u6837\u7684\u62cd\u5356\u673a\u5236\u7b56\u7565\u3002\u6700\u540e\uff0c\u4e3a\u4e86\u80fd\u591f\u66f4\u597d\u7684\u652f\u6491\u4e1a\u52a1\u53d1\u5c55\uff0c\u548c\u5de5\u7a0b\u56e2\u961f\u4e00\u8d77\u642d\u5efa\u4e86\u5e73\u53f0\u5316\u6846\u67b6\uff0c\u8fd9\u6837\u65b0\u573a\u666f\u6216\u8005\u65b0\u4e1a\u52a1\u6765\u7684\u65f6\u5019\uff0c\u80fd\u591f\u5feb\u901f\u7684\u628a\u673a\u5236\u7b56\u7565\u7684\u80fd\u529b\u8865\u5168\u3002<\/p>\n\n\n\n\u7efc\u5408\u6765\u770b\uff0cAIDA\u5206\u5c42\u534f\u540c\u7b97\u6cd5\u6846\u67b6\uff0c\u901a\u8fc7bidding\u667a\u80fd\u4f53\u4f18\u5316\u5e7f\u544a\u4e3b\u591a\u76ee\u6807\uff0c\u901a\u8fc7\u667a\u80fd\u62cd\u5356\u673a\u5236\u63d0\u5347\u5e73\u53f0\u5206\u914d\u6548\u7387\u3002AIDA\u5e73\u53f0\u5316\u7684\u5de5\u7a0b\u6846\u67b6\uff0c\u5feb\u901f\u652f\u6491\u4e1a\u52a1\u8fed\u4ee3\u3002<\/p>\n\n\n\n04<\/strong><\/p>\n\n\n\n\u667a\u80fd\u62cd\u5356\u673a\u5236\u6f14\u8fdb\u4e4b\u8def<\/strong><\/h2>\n\n\n\n1. \u4e3a\u4ec0\u4e48\u8981\u505a\u667a\u80fd\u62cd\u5356\u673a\u5236<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u5982\u524d\u6240\u8ff0\uff0c\u5927\u5a92\u4f53\u5f62\u5f0f\u7684\u5e7f\u544a\u5e73\u53f0\u9700\u8981\u4f18\u5316\u591a\u76ee\u6807\uff0c\u4f46\u662f\u5e7f\u544a\u5e73\u53f0\u7684\u591a\u76ee\u6807\u4f18\u5316\u4e0d\u7b49\u540c\u4e8e\u7ecf\u5178\u7684\u591a\u76ee\u6807\u4f18\u5316\u95ee\u9898\uff0c\u5728\u5e7f\u544a\u535a\u5f08\u573a\u666f\u4e0b\uff0c\u9700\u8981\u8bbe\u8ba1\u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236\u3002\u800c\u7ecf\u5178\u7684\u62cd\u5356\u673a\u5236\uff0c\u6bd4\u5982Myerson Auction\uff0cGSP\u3001VCG\u7b49\uff0c\u5f80\u5f80\u53ea\u8003\u8651\u5355\u4e2a\u76ee\u6807\u4f18\u5316\uff0c\u6ca1\u6709\u529e\u6cd5\u76f4\u63a5\u5e94\u7528\u5230\u591a\u76ee\u6807\u7684\u4f18\u5316\u4e0a\u3002<\/p>\n\n\n\n\u8fd1\u51e0\u5e74\u5b66\u672f\u754c\u5c06\u6df1\u5ea6\u5b66\u4e60\u548c\u5f3a\u5316\u5b66\u4e60\u6280\u672f\u5e94\u7528\u5230\u62cd\u5356\u673a\u5236\u9886\u57df\u4e2d\uff0c\u663e\u8457\u5730\u63d0\u5347\u4e86\u4f18\u5316\u6548\u679c\u3002\u4ee5\u54c8\u4f5b\uff0cGoogle Research\u4e3a\u4ee3\u8868\u7684\u5b66\u672f\u754c\u5728\u6df1\u5ea6\u62cd\u5356\u673a\u5236\u505a\u4e86\u5927\u91cf\u7684\u63a2\u7d22\uff0c\u5176\u4e2dRegretNet\u5728\u6df1\u5ea6\u62cd\u5356\u673a\u5236\u91cc\u53d7\u5230\u5e7f\u6cdb\u5173\u6ce8\u3002\u4f46\u662f\u5b66\u672f\u754c\u8bbe\u8ba1\u7684\u62cd\u5356\u673a\u5236\u7406\u8bba\u5047\u8bbe\u5f88\u5f3a\uff0c\u96be\u4ee5\u5e94\u7528\u5230\u5de5\u4e1a\u754c\u3002<\/p>\n\n\n\n\u56e0\u6b64\u6211\u4eec\u5f00\u59cb\u601d\u8003\uff0c\u5982\u4f55\u8bbe\u8ba1\u65b0\u578b\u7684\u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236\uff0c\u5e76\u7ed3\u5408\u5de5\u4e1a\u754c\u6d77\u91cf\u6570\u636e\u7684\u4f18\u52bf\uff0c\u901a\u8fc7\u6df1\u5ea6\u7f51\u7edc\u63d0\u5347\u673a\u5236\u7684\u4f18\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n2. \u95ee\u9898\u5b9a\u4e49\u548c\u6311\u6218<\/h3>\n\n\n\n\u57fa\u4e8e\u4ee5\u4e0a\u80cc\u666f\uff0c\u963f\u91cc\u5988\u5988\u5c55\u793a\u5e7f\u544a\u5b9a\u4e49\u4e86\u591a\u76ee\u6807\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u53ca\u6311\u6218\u3002<\/p>\n\n\n\n\u2460 \u95ee\u9898\u5b9a\u4e49<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5176\u4e2df(b;M)\u51fd\u6570\u662f\u4f18\u5316\u76ee\u6807\uff0c\u6bd4\u5982RPM\u3001CTR\u3001GMV\u3002\u4f18\u5316\u76ee\u6807\u7684\u7ea6\u675f\u6761\u4ef6\u662f\u7ecf\u6d4e\u5b66\u6027\u8d28\uff0c\u6bd4\u5982\u5747\u8861\u535a\u5f08\uff0c\u5373\u5728\u4fdd\u8bc1\u826f\u597d\u7684\u7ecf\u6d4e\u5b66\u6027\u8d28\u4e0b\u4f18\u5316\u591a\u76ee\u6807\u3002<\/p>\n\n\n\n\u2461 \u9762\u4e34\u6311\u6218<\/strong><\/p>\n\n\n\n\u5982\u4f55\u5c06\u7ecf\u6d4e\u5b66\u6027\u8d28\u878d\u5165\u5230\u673a\u5236\u8bbe\u8ba1\u4e2d\uff0c\u5373\u535a\u5f08\u5747\u8861\u662f\u4e00\u4e2a\u7ecf\u6d4e\u5b66\u95ee\u9898\uff0c\u5982\u4f55\u7528\u7b80\u6d01\u7684\u6570\u5b66\u5f62\u5f0f\u8868\u8fbe\uff0c\u5e76\u878d\u5165\u6a21\u578b\u4e2d\u5b66\u4e60\u3002<\/li>\u5982\u4f55\u9762\u5411\u540e\u9a8c\u76ee\u6807\u4f18\u5316\uff0c\u5373\u5f88\u591a\u4f18\u5316\u76ee\u6807\u6307\u6807\u96be\u4ee5\u7cbe\u51c6\u4f30\u8ba1\uff0c\u53ea\u80fd\u901a\u8fc7\u771f\u5b9e\u53cd\u9988\u7684\u65b9\u5f0f\u624d\u80fd\u83b7\u5f97\u3002<\/li>\u5982\u4f55\u7075\u6d3b\u8c03\u63a7\u591a\u76ee\u6807\uff0c\u5373\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u4e0d\u4e00\u6837\uff0c\u5982\u4f55\u8bbe\u8ba1\u66f4\u7075\u6d3b\u7684\u8c03\u63a7\u673a\u5236\uff0c\u6ee1\u8db3\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u3002<\/li><\/ul>\n\n\n\n3. \u6df1\u5ea6\u7f51\u7edc\u8d4b\u80fd\u62cd\u5356\u673a\u5236(Deep GSP)<\/h3>\n\n\n\n\u2460 \u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u667a\u80fd\u62cd\u5356\u673a\u5236Deep GSP<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5b9a\u4e49\u5c55\u793a\u5e7f\u544a\u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u8fb9\u754c\u540e\uff0c\u8c03\u7814\u4e86\u5177\u5907\u7ecf\u6d4e\u6027\u6fc0\u52b1\u517c\u5bb9\u7684Myerson Theorem\u7406\u8bba\uff0c\u8be5\u7406\u8bba\u7684\u5145\u8981\u6761\u4ef6\u6709\u4e24\u4e2a\uff0c\u4e00\u662f\u5355\u8c03\u5206\u914d\uff0c\u5373\u5e7f\u544a\u4e3b\u51fa\u4ef7\u8d8a\u9ad8\uff0c\u83b7\u5f97\u5c55\u793a\u5206\u914d\u7684\u6982\u7387\u8d8a\u5927\uff1b\u4e8c\u662f\u6700\u5c0f\u6263\u8d39\uff0c\u5373\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u6070\u597d\u7ade\u5f97\u5c55\u793a\u6d41\u91cf\u7684\u6700\u5c0f\u6263\u8d39\uff0c\u7b49\u4ef7\u4e8e\u7b2c\u4e8c\u5bb6\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u3002\u540c\u65f6\uff0cMyserson\u7406\u8bba\u80fd\u63a8\u5bfc\u6536\u5165\u6700\u5927\u5316\u7684\u6700\u4f18\u673a\u5236\u3002\u5047\u8bbe\u5e7f\u544a\u4e3bvalue\u7684\u5206\u5e03\u5df2\u77e5\u4e14\u72ec\u7acb\uff0c\u80fd\u63a8\u5bfc\u51fa\u4e00\u79cd\u6700\u4f18\u7684\u5e7f\u544a\u7684\u5206\u914d\u51fd\u6570\uff0c\u6839\u636e\u5206\u914d\u51fd\u6570\u53ca\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u51b3\u5b9a\u6d41\u91cf\u7ed9\u54ea\u4e2a\u5e7f\u544a\u4e3b\u3002<\/p>\n\n\n\n\u57fa\u4e8eMyserson\u542f\u53d1\u53caGSP\u6846\u67b6\uff0c\u8bbe\u8ba1\u4e86\u5177\u6709\u826f\u597d\u7684\u53ef\u89e3\u91ca\u6027\u4e14\u6613\u4e8e\u90e8\u7f72\u7684Deep GSP\u673a\u5236\u3002\u8be5\u673a\u5236\u5b9a\u4e49\u4e86\u5206\u914d\u5f62\u5f0f\uff0c\u5f53\u7ed9\u5b9a\u5e7f\u544a\u4e3b\u7684\u7ade\u4ef7\u961f\u5217\u65f6\uff0c\u5728\u9075\u5faaMyserson\u6fc0\u52b1\u517c\u5bb9\u5145\u8981\u6761\u4ef6\u4e0b\uff0c\u6839\u636e\u5e7f\u544a\u4e3b\u81ea\u8eab\u7684\u7279\u6027\u5b66\u4e60\u6a21\u578b\u7cfb\u6570 \uff0c\u4ece\u800c\u5f71\u54cdrankscore\u51b3\u5b9a\u5206\u914d\u53ca\u6263\u8d39\u3002\u5f53\u6ee1\u8db3\u5bf9\u5355\u8c03\u9012\u51cf\uff0cDeep GSP\u5bf9\u4e8e\u6548\u7528\u6700\u5927\u5316\uff08utility maximizer\uff09\u5355\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\uff0c\u591a\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u7eb3\u4ec0\u5747\u8861\u3002\u540c\u65f6\uff0c\u5bf9\u4e8evalue maximizer\u5e7f\u544a\u4e3b\u4e5f\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\u3002<\/p>\n\n\n\n\u2461 Deep GSP\u5173\u952e\u521b\u65b0\u6280\u672f<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u7b80\u5355\u4ecb\u7ecdDeep GSP\u7684\u5173\u952e\u521b\u65b0\u6280\u672f\uff0c\u5177\u4f53\u7ec6\u8282\u53ef\u4ee5\u53c2\u8003\u8bba\u6587\u3002<\/p>\n\n\n\n\u9996\u5148\uff0c\u5355\u8c03\u6027\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u5355\u8c03\u5206\u914d\u3002bid\u4f5c\u4e3a\u7f51\u7edc\u7279\u5f81\uff0c\u5355\u8c03\u9012\u589e\u4ee3\u8868\u7f51\u7edc\u5bf9\u7279\u5f81\u7684\u68af\u5ea6\u5927\u4e8e0\uff0c\u8bbe\u8ba1\u7f51\u7edc\u65f6\u9700\u8003\u8651\u5355\u8c03\u6027\u90e8\u7f72\u3002<\/p>\n\n\n\n\u5176\u6b21\uff0c\u7ad9\u5728\u5e73\u53f0\u673a\u5236\u89c6\u89d2\uff0c\u9700\u8981\u51b3\u5b9a\u7ed9\u5e7f\u544a\u4e3b\u4ec0\u4e48\u52a8\u4f5c\uff0c\u54ea\u4e2a\u5e7f\u544a\u4e3b\u80dc\u51fa\u3002\u6700\u597d\u7684\u673a\u5236\u662f\u8ba9\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u914d\u5408\u8d77\u6765\uff0c\u8ba9\u6700\u597d\u7684\u5e7f\u544a\u4e3b\u80dc\u51fa\uff0c\u5dee\u7684\u5e7f\u544a\u4e3b\u5931\u8d25\uff0c\u7136\u540e\u8bc4\u4f30\u5bf9\u5e7f\u544a\u4e3b\u52a8\u4f5c\u7684\u597d\u4e0e\u574f\uff0c\u4ee5\u53ca\u5bf9\u6574\u4f53\u6548\u679c\u7684\u5f71\u54cd\u6709\u591a\u5c11\uff0c\u5176\u4e2d\u6d89\u53ca\u5230\u4fe1\u7528\u5206\u914d\u7684\u95ee\u9898\uff0c\u7ed3\u5408\u542f\u53d1\u5f0f\u7b97\u6cd5\u7efc\u5408\u8003\u8651\u6bcf\u4e2a\u5e7f\u544a\u7684\u8d28\u91cf\uff0c\u5bf9\u6574\u4f53\u7684\u5f71\u54cd\u505areward\u3002<\/p>\n\n\n\n\u6700\u540e\uff0c\u9762\u5411\u4e00\u4e2a\u771f\u5b9e\u53cd\u9988\u505a\u6a21\u578b\u7684\u8bad\u7ec3\u3002\u548c\u5176\u4ed6\u5f3a\u5316\u5b66\u4e60\u4e0d\u592a\u4e00\u6837\uff0c\u6ca1\u6709\u4f7f\u7528\u6a21\u62df\u73af\u5883\uff0c\u800c\u662f\u57fa\u4e8e\u771f\u5b9e\u7684\u73af\u5883\u4ea7\u751f\u6570\u636e\uff0c\u7136\u540e\u505a\u95ed\u73af\u7684\u8bad\u7ec3\uff0c\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u4f18\u5316\u6548\u679c\u771f\u5b9e\u6709\u6548\u3002<\/p>\n\n\n\n\u2462 DeepGSP\u4e1a\u52a1\u8d21\u732e\u53ca\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aDeep GSP\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cDeep GSP\u57282020.5-2020.11\u5171\u505a\u4e86\u591a\u6b21\u6280\u672f\u5347\u7ea7\uff0c\u901a\u8fc7\u9762\u5411\u771f\u5b9e\u53cd\u9988\u4f18\u5316\uff0c\u63d0\u5347\u4e86\u5e73\u53f0\u5206\u914d\u6548\u7387\uff0c\u7d2f\u8ba1\u62c9\u52a8\u4fe1\u606f\u6d41\u5e7f\u544a\u5927\u76d8\u4e24\u4f4d\u6570\u589e\u957f\u3002\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0c\u591a\u6b21\u7528\u4e8e\u4e1a\u52a1\u51b3\u7b56\u63d0\u5347CTR\u548cROI\uff0c\u8c03\u63a7\u6548\u679c\u663e\u8457\u9ad8\u4e8euGSP\u7b49\u7b56\u7565\u3002<\/p>\n\n\n\nPaper “Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising” \u88abWSDM’2021\u63a5\u6536\uff0c\u5927\u4f1a\u5bf9\u6587\u7ae0\u4e5f\u505a\u51fa\u4e86\u201c\u5f00\u521b\u6027\u201d\u79f0\u8d5e\u3002<\/p>\n\n\n\n4. \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236(Neural Auction)<\/h3>\n\n\n\n\u2460 \u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u8fdb\u4e00\u6b65\u601d\u8003Neural Auction<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nDeep GSP\u662f\u57fa\u4e8e\u5e7f\u544a\u7c92\u5ea6\u5efa\u6a21\uff0c\u901a\u8fc7\u4fe1\u7528\u5206\u914d\u89e3\u51b3\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u65b9\u5411\u3002\u4f46\u662f\u5b58\u5728\u4e24\u4e2a\u95ee\u9898\uff0c\u7b2c\u4e00\uff0c\u4fe1\u7528\u5206\u914d\u96be\uff0cReward\u8bbe\u8ba1\u975e\u5e38\u4f9d\u8d56\u4e1a\u52a1\u7ecf\u9a8c\uff1b\u7b2c\u4e8c\uff0c\u641c\u7d22\u7a7a\u95f4\u5927\uff0c\u5982\u679c<\u72b6\u6001\uff0c\u52a8\u4f5c>\u63a2\u7d22\u4e0d\u5145\u5206\uff0c\u5f88\u96be\u627e\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n\u4e3a\u7a81\u7834Deep GSP\u7684\u95ee\u9898\uff0c\u7ecf\u8fc7\u591a\u667a\u80fd\u4f53value\u5206\u914d\u6216\u8005\u96c6\u5408\u5efa\u6a21\uff0c\u5c1d\u8bd5\u5c06\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u53c2\u7ade\u653e\u5728\u4e00\u4e2a\u96c6\u5408\u4e2d\u4f18\u5316\uff0c\u5efa\u6a21\u548c\u6548\u679c\u5728\u540c\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u7701\u53bb\u505a\u4fe1\u7528\u5206\u914d\uff0c\u5355\u76ee\u6807\u4f18\u5316\u6709\u6548\uff0c\u4f46\u662f\u591a\u76ee\u6807\u4f18\u5316\u6548\u679c\u4e0d\u660e\u663e\u3002\u5355\u76ee\u6807\u662f\u7aef\u5230\u7aef\u4f18\u5316\uff0c\u53ea\u8981\u5b66\u51favalue\u7684\u5206\u5e03\uff0c\u7136\u540e\u8fdb\u884csoftmax\uff0c\u5c06\u6700\u5927\u7684\u4f5c\u4e3a\u5c55\u793a\u5e7f\u544a\uff0c\u7b2c\u4e8c\u4f5c\u4e3a\u6263\u8d39\u3002\u591a\u76ee\u6807\u4e0b\u9700\u8981\u5bf9\u6240\u6709\u7684\u5e7f\u544a\u5148\u6392\u5e8f\uff0c\u57fa\u4e8e\u6392\u5e8f\u7ed3\u679c\u8fdb\u884c\u5206\u914d\u6263\u8d39\uff0c\u4f46\u662f\u6392\u5e8f\u8fc7\u7a0b\u4e0d\u53ef\u5fae\uff0c\u65e0\u6cd5\u50cf\u76d1\u7763\u5b66\u4e60\u901a\u8fc7\u4f18\u5316\u6548\u679c\uff0c\u901a\u8fc7Loss\u53cd\u5411\u4f20\u9012\u9a71\u52a8\u6a21\u578b\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u63a8\u51faNeural Auction\u62cd\u5356\u673a\u5236\uff0c\u901a\u8fc7\u6700\u540e\u7684\u6548\u679c\u53cd\u5411\u4f20\u5bfc\u7684\u65b9\u5f0f\uff0c\u9a71\u52a8\u6574\u4e2a\u6a21\u578b\u8bad\u7ec3\uff0c\u5b9e\u73b0\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n\u2461 Neural Auction – \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236<\/strong><\/p>\n\n\n\n\u57fa\u4e8e\u53ef\u5fae\u6392\u5e8f\u7b97\u5b50\uff0c\u5b9e\u73b0\u6574\u4e2a\u8fc7\u7a0b\u7684\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n\u96c6\u5408\u7f16\u7801\u5668<\/strong>\uff08Set Encoder\uff09\uff0c\u5b66\u4e60\u6574\u4e2a\u7ade\u4ef7\u961f\u5217\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8f93\u51fa\u4e00\u4e2a\u5b9a\u4e49\u5728\u7ade\u4ef7\u961f\u5217\u4e0a\u7684\u7279\u5f81\uff1b<\/li>\u4e0a\u4e0b\u6587\u8bc4\u5206\u51fd\u6570<\/strong>\uff08Context-Aware Rank Score Function\uff09\uff0c\u4ee5\u5355\u4e2a\u5e7f\u544a\u7684\u7279\u5f81\u548c\u7ade\u4ef7\u961f\u5217\u7279\u5f81\u4f5c\u4e3a\u8f93\u5165\uff0c\u5b66\u4e60\u6bcf\u4e2a\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\uff0c\u5e76\u4fdd\u969c\u5e7f\u544a\u4e3b\u7684 IC\/IR \u6027\u8d28\uff1b<\/li>\u53ef\u5fae\u6392\u5e8f\u5f15\u64ce<\/strong>\uff08Differentiable Sorting Engine\uff09\uff0c\u4ee5\u7ade\u4ef7\u961f\u5217\u6240\u6709\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\u4e3a\u8f93\u5165\uff0c\u4ee5\u53ef\u5fae\u7684\u5f62\u5f0f\u8fdb\u884c\u6392\u5e8f\u64cd\u4f5c\uff0c\u5e76\u8fdb\u4e00\u6b65\u8ba1\u7b97\u5728\u5f53\u524d\u6392\u5e8f\u5206\u72b6\u6001\u4e0b\u7684\u5176\u4ed6\u4f30\u8ba1\u6307\u6807\u3002<\/li><\/ul>\n\n\n\n\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. 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GSP \u548cNeural Auction\u7b49\u8fd9\u6837\u7684\u62cd\u5356\u673a\u5236\u7b56\u7565\u3002\u6700\u540e\uff0c\u4e3a\u4e86\u80fd\u591f\u66f4\u597d\u7684\u652f\u6491\u4e1a\u52a1\u53d1\u5c55\uff0c\u548c\u5de5\u7a0b\u56e2\u961f\u4e00\u8d77\u642d\u5efa\u4e86\u5e73\u53f0\u5316\u6846\u67b6\uff0c\u8fd9\u6837\u65b0\u573a\u666f\u6216\u8005\u65b0\u4e1a\u52a1\u6765\u7684\u65f6\u5019\uff0c\u80fd\u591f\u5feb\u901f\u7684\u628a\u673a\u5236\u7b56\u7565\u7684\u80fd\u529b\u8865\u5168\u3002<\/p>\n\n\n\n\u7efc\u5408\u6765\u770b\uff0cAIDA\u5206\u5c42\u534f\u540c\u7b97\u6cd5\u6846\u67b6\uff0c\u901a\u8fc7bidding\u667a\u80fd\u4f53\u4f18\u5316\u5e7f\u544a\u4e3b\u591a\u76ee\u6807\uff0c\u901a\u8fc7\u667a\u80fd\u62cd\u5356\u673a\u5236\u63d0\u5347\u5e73\u53f0\u5206\u914d\u6548\u7387\u3002AIDA\u5e73\u53f0\u5316\u7684\u5de5\u7a0b\u6846\u67b6\uff0c\u5feb\u901f\u652f\u6491\u4e1a\u52a1\u8fed\u4ee3\u3002<\/p>\n\n\n\n04<\/strong><\/p>\n\n\n\n\u667a\u80fd\u62cd\u5356\u673a\u5236\u6f14\u8fdb\u4e4b\u8def<\/strong><\/h2>\n\n\n\n1. \u4e3a\u4ec0\u4e48\u8981\u505a\u667a\u80fd\u62cd\u5356\u673a\u5236<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u5982\u524d\u6240\u8ff0\uff0c\u5927\u5a92\u4f53\u5f62\u5f0f\u7684\u5e7f\u544a\u5e73\u53f0\u9700\u8981\u4f18\u5316\u591a\u76ee\u6807\uff0c\u4f46\u662f\u5e7f\u544a\u5e73\u53f0\u7684\u591a\u76ee\u6807\u4f18\u5316\u4e0d\u7b49\u540c\u4e8e\u7ecf\u5178\u7684\u591a\u76ee\u6807\u4f18\u5316\u95ee\u9898\uff0c\u5728\u5e7f\u544a\u535a\u5f08\u573a\u666f\u4e0b\uff0c\u9700\u8981\u8bbe\u8ba1\u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236\u3002\u800c\u7ecf\u5178\u7684\u62cd\u5356\u673a\u5236\uff0c\u6bd4\u5982Myerson Auction\uff0cGSP\u3001VCG\u7b49\uff0c\u5f80\u5f80\u53ea\u8003\u8651\u5355\u4e2a\u76ee\u6807\u4f18\u5316\uff0c\u6ca1\u6709\u529e\u6cd5\u76f4\u63a5\u5e94\u7528\u5230\u591a\u76ee\u6807\u7684\u4f18\u5316\u4e0a\u3002<\/p>\n\n\n\n\u8fd1\u51e0\u5e74\u5b66\u672f\u754c\u5c06\u6df1\u5ea6\u5b66\u4e60\u548c\u5f3a\u5316\u5b66\u4e60\u6280\u672f\u5e94\u7528\u5230\u62cd\u5356\u673a\u5236\u9886\u57df\u4e2d\uff0c\u663e\u8457\u5730\u63d0\u5347\u4e86\u4f18\u5316\u6548\u679c\u3002\u4ee5\u54c8\u4f5b\uff0cGoogle Research\u4e3a\u4ee3\u8868\u7684\u5b66\u672f\u754c\u5728\u6df1\u5ea6\u62cd\u5356\u673a\u5236\u505a\u4e86\u5927\u91cf\u7684\u63a2\u7d22\uff0c\u5176\u4e2dRegretNet\u5728\u6df1\u5ea6\u62cd\u5356\u673a\u5236\u91cc\u53d7\u5230\u5e7f\u6cdb\u5173\u6ce8\u3002\u4f46\u662f\u5b66\u672f\u754c\u8bbe\u8ba1\u7684\u62cd\u5356\u673a\u5236\u7406\u8bba\u5047\u8bbe\u5f88\u5f3a\uff0c\u96be\u4ee5\u5e94\u7528\u5230\u5de5\u4e1a\u754c\u3002<\/p>\n\n\n\n\u56e0\u6b64\u6211\u4eec\u5f00\u59cb\u601d\u8003\uff0c\u5982\u4f55\u8bbe\u8ba1\u65b0\u578b\u7684\u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236\uff0c\u5e76\u7ed3\u5408\u5de5\u4e1a\u754c\u6d77\u91cf\u6570\u636e\u7684\u4f18\u52bf\uff0c\u901a\u8fc7\u6df1\u5ea6\u7f51\u7edc\u63d0\u5347\u673a\u5236\u7684\u4f18\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n2. \u95ee\u9898\u5b9a\u4e49\u548c\u6311\u6218<\/h3>\n\n\n\n\u57fa\u4e8e\u4ee5\u4e0a\u80cc\u666f\uff0c\u963f\u91cc\u5988\u5988\u5c55\u793a\u5e7f\u544a\u5b9a\u4e49\u4e86\u591a\u76ee\u6807\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u53ca\u6311\u6218\u3002<\/p>\n\n\n\n\u2460 \u95ee\u9898\u5b9a\u4e49<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5176\u4e2df(b;M)\u51fd\u6570\u662f\u4f18\u5316\u76ee\u6807\uff0c\u6bd4\u5982RPM\u3001CTR\u3001GMV\u3002\u4f18\u5316\u76ee\u6807\u7684\u7ea6\u675f\u6761\u4ef6\u662f\u7ecf\u6d4e\u5b66\u6027\u8d28\uff0c\u6bd4\u5982\u5747\u8861\u535a\u5f08\uff0c\u5373\u5728\u4fdd\u8bc1\u826f\u597d\u7684\u7ecf\u6d4e\u5b66\u6027\u8d28\u4e0b\u4f18\u5316\u591a\u76ee\u6807\u3002<\/p>\n\n\n\n\u2461 \u9762\u4e34\u6311\u6218<\/strong><\/p>\n\n\n\n\u5982\u4f55\u5c06\u7ecf\u6d4e\u5b66\u6027\u8d28\u878d\u5165\u5230\u673a\u5236\u8bbe\u8ba1\u4e2d\uff0c\u5373\u535a\u5f08\u5747\u8861\u662f\u4e00\u4e2a\u7ecf\u6d4e\u5b66\u95ee\u9898\uff0c\u5982\u4f55\u7528\u7b80\u6d01\u7684\u6570\u5b66\u5f62\u5f0f\u8868\u8fbe\uff0c\u5e76\u878d\u5165\u6a21\u578b\u4e2d\u5b66\u4e60\u3002<\/li>\u5982\u4f55\u9762\u5411\u540e\u9a8c\u76ee\u6807\u4f18\u5316\uff0c\u5373\u5f88\u591a\u4f18\u5316\u76ee\u6807\u6307\u6807\u96be\u4ee5\u7cbe\u51c6\u4f30\u8ba1\uff0c\u53ea\u80fd\u901a\u8fc7\u771f\u5b9e\u53cd\u9988\u7684\u65b9\u5f0f\u624d\u80fd\u83b7\u5f97\u3002<\/li>\u5982\u4f55\u7075\u6d3b\u8c03\u63a7\u591a\u76ee\u6807\uff0c\u5373\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u4e0d\u4e00\u6837\uff0c\u5982\u4f55\u8bbe\u8ba1\u66f4\u7075\u6d3b\u7684\u8c03\u63a7\u673a\u5236\uff0c\u6ee1\u8db3\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u3002<\/li><\/ul>\n\n\n\n3. \u6df1\u5ea6\u7f51\u7edc\u8d4b\u80fd\u62cd\u5356\u673a\u5236(Deep GSP)<\/h3>\n\n\n\n\u2460 \u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u667a\u80fd\u62cd\u5356\u673a\u5236Deep GSP<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5b9a\u4e49\u5c55\u793a\u5e7f\u544a\u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u8fb9\u754c\u540e\uff0c\u8c03\u7814\u4e86\u5177\u5907\u7ecf\u6d4e\u6027\u6fc0\u52b1\u517c\u5bb9\u7684Myerson Theorem\u7406\u8bba\uff0c\u8be5\u7406\u8bba\u7684\u5145\u8981\u6761\u4ef6\u6709\u4e24\u4e2a\uff0c\u4e00\u662f\u5355\u8c03\u5206\u914d\uff0c\u5373\u5e7f\u544a\u4e3b\u51fa\u4ef7\u8d8a\u9ad8\uff0c\u83b7\u5f97\u5c55\u793a\u5206\u914d\u7684\u6982\u7387\u8d8a\u5927\uff1b\u4e8c\u662f\u6700\u5c0f\u6263\u8d39\uff0c\u5373\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u6070\u597d\u7ade\u5f97\u5c55\u793a\u6d41\u91cf\u7684\u6700\u5c0f\u6263\u8d39\uff0c\u7b49\u4ef7\u4e8e\u7b2c\u4e8c\u5bb6\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u3002\u540c\u65f6\uff0cMyserson\u7406\u8bba\u80fd\u63a8\u5bfc\u6536\u5165\u6700\u5927\u5316\u7684\u6700\u4f18\u673a\u5236\u3002\u5047\u8bbe\u5e7f\u544a\u4e3bvalue\u7684\u5206\u5e03\u5df2\u77e5\u4e14\u72ec\u7acb\uff0c\u80fd\u63a8\u5bfc\u51fa\u4e00\u79cd\u6700\u4f18\u7684\u5e7f\u544a\u7684\u5206\u914d\u51fd\u6570\uff0c\u6839\u636e\u5206\u914d\u51fd\u6570\u53ca\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u51b3\u5b9a\u6d41\u91cf\u7ed9\u54ea\u4e2a\u5e7f\u544a\u4e3b\u3002<\/p>\n\n\n\n\u57fa\u4e8eMyserson\u542f\u53d1\u53caGSP\u6846\u67b6\uff0c\u8bbe\u8ba1\u4e86\u5177\u6709\u826f\u597d\u7684\u53ef\u89e3\u91ca\u6027\u4e14\u6613\u4e8e\u90e8\u7f72\u7684Deep GSP\u673a\u5236\u3002\u8be5\u673a\u5236\u5b9a\u4e49\u4e86\u5206\u914d\u5f62\u5f0f\uff0c\u5f53\u7ed9\u5b9a\u5e7f\u544a\u4e3b\u7684\u7ade\u4ef7\u961f\u5217\u65f6\uff0c\u5728\u9075\u5faaMyserson\u6fc0\u52b1\u517c\u5bb9\u5145\u8981\u6761\u4ef6\u4e0b\uff0c\u6839\u636e\u5e7f\u544a\u4e3b\u81ea\u8eab\u7684\u7279\u6027\u5b66\u4e60\u6a21\u578b\u7cfb\u6570 \uff0c\u4ece\u800c\u5f71\u54cdrankscore\u51b3\u5b9a\u5206\u914d\u53ca\u6263\u8d39\u3002\u5f53\u6ee1\u8db3\u5bf9\u5355\u8c03\u9012\u51cf\uff0cDeep GSP\u5bf9\u4e8e\u6548\u7528\u6700\u5927\u5316\uff08utility maximizer\uff09\u5355\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\uff0c\u591a\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u7eb3\u4ec0\u5747\u8861\u3002\u540c\u65f6\uff0c\u5bf9\u4e8evalue maximizer\u5e7f\u544a\u4e3b\u4e5f\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\u3002<\/p>\n\n\n\n\u2461 Deep GSP\u5173\u952e\u521b\u65b0\u6280\u672f<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u7b80\u5355\u4ecb\u7ecdDeep GSP\u7684\u5173\u952e\u521b\u65b0\u6280\u672f\uff0c\u5177\u4f53\u7ec6\u8282\u53ef\u4ee5\u53c2\u8003\u8bba\u6587\u3002<\/p>\n\n\n\n\u9996\u5148\uff0c\u5355\u8c03\u6027\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u5355\u8c03\u5206\u914d\u3002bid\u4f5c\u4e3a\u7f51\u7edc\u7279\u5f81\uff0c\u5355\u8c03\u9012\u589e\u4ee3\u8868\u7f51\u7edc\u5bf9\u7279\u5f81\u7684\u68af\u5ea6\u5927\u4e8e0\uff0c\u8bbe\u8ba1\u7f51\u7edc\u65f6\u9700\u8003\u8651\u5355\u8c03\u6027\u90e8\u7f72\u3002<\/p>\n\n\n\n\u5176\u6b21\uff0c\u7ad9\u5728\u5e73\u53f0\u673a\u5236\u89c6\u89d2\uff0c\u9700\u8981\u51b3\u5b9a\u7ed9\u5e7f\u544a\u4e3b\u4ec0\u4e48\u52a8\u4f5c\uff0c\u54ea\u4e2a\u5e7f\u544a\u4e3b\u80dc\u51fa\u3002\u6700\u597d\u7684\u673a\u5236\u662f\u8ba9\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u914d\u5408\u8d77\u6765\uff0c\u8ba9\u6700\u597d\u7684\u5e7f\u544a\u4e3b\u80dc\u51fa\uff0c\u5dee\u7684\u5e7f\u544a\u4e3b\u5931\u8d25\uff0c\u7136\u540e\u8bc4\u4f30\u5bf9\u5e7f\u544a\u4e3b\u52a8\u4f5c\u7684\u597d\u4e0e\u574f\uff0c\u4ee5\u53ca\u5bf9\u6574\u4f53\u6548\u679c\u7684\u5f71\u54cd\u6709\u591a\u5c11\uff0c\u5176\u4e2d\u6d89\u53ca\u5230\u4fe1\u7528\u5206\u914d\u7684\u95ee\u9898\uff0c\u7ed3\u5408\u542f\u53d1\u5f0f\u7b97\u6cd5\u7efc\u5408\u8003\u8651\u6bcf\u4e2a\u5e7f\u544a\u7684\u8d28\u91cf\uff0c\u5bf9\u6574\u4f53\u7684\u5f71\u54cd\u505areward\u3002<\/p>\n\n\n\n\u6700\u540e\uff0c\u9762\u5411\u4e00\u4e2a\u771f\u5b9e\u53cd\u9988\u505a\u6a21\u578b\u7684\u8bad\u7ec3\u3002\u548c\u5176\u4ed6\u5f3a\u5316\u5b66\u4e60\u4e0d\u592a\u4e00\u6837\uff0c\u6ca1\u6709\u4f7f\u7528\u6a21\u62df\u73af\u5883\uff0c\u800c\u662f\u57fa\u4e8e\u771f\u5b9e\u7684\u73af\u5883\u4ea7\u751f\u6570\u636e\uff0c\u7136\u540e\u505a\u95ed\u73af\u7684\u8bad\u7ec3\uff0c\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u4f18\u5316\u6548\u679c\u771f\u5b9e\u6709\u6548\u3002<\/p>\n\n\n\n\u2462 DeepGSP\u4e1a\u52a1\u8d21\u732e\u53ca\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aDeep GSP\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cDeep GSP\u57282020.5-2020.11\u5171\u505a\u4e86\u591a\u6b21\u6280\u672f\u5347\u7ea7\uff0c\u901a\u8fc7\u9762\u5411\u771f\u5b9e\u53cd\u9988\u4f18\u5316\uff0c\u63d0\u5347\u4e86\u5e73\u53f0\u5206\u914d\u6548\u7387\uff0c\u7d2f\u8ba1\u62c9\u52a8\u4fe1\u606f\u6d41\u5e7f\u544a\u5927\u76d8\u4e24\u4f4d\u6570\u589e\u957f\u3002\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0c\u591a\u6b21\u7528\u4e8e\u4e1a\u52a1\u51b3\u7b56\u63d0\u5347CTR\u548cROI\uff0c\u8c03\u63a7\u6548\u679c\u663e\u8457\u9ad8\u4e8euGSP\u7b49\u7b56\u7565\u3002<\/p>\n\n\n\nPaper “Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising” \u88abWSDM’2021\u63a5\u6536\uff0c\u5927\u4f1a\u5bf9\u6587\u7ae0\u4e5f\u505a\u51fa\u4e86\u201c\u5f00\u521b\u6027\u201d\u79f0\u8d5e\u3002<\/p>\n\n\n\n4. \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236(Neural Auction)<\/h3>\n\n\n\n\u2460 \u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u8fdb\u4e00\u6b65\u601d\u8003Neural Auction<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nDeep GSP\u662f\u57fa\u4e8e\u5e7f\u544a\u7c92\u5ea6\u5efa\u6a21\uff0c\u901a\u8fc7\u4fe1\u7528\u5206\u914d\u89e3\u51b3\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u65b9\u5411\u3002\u4f46\u662f\u5b58\u5728\u4e24\u4e2a\u95ee\u9898\uff0c\u7b2c\u4e00\uff0c\u4fe1\u7528\u5206\u914d\u96be\uff0cReward\u8bbe\u8ba1\u975e\u5e38\u4f9d\u8d56\u4e1a\u52a1\u7ecf\u9a8c\uff1b\u7b2c\u4e8c\uff0c\u641c\u7d22\u7a7a\u95f4\u5927\uff0c\u5982\u679c<\u72b6\u6001\uff0c\u52a8\u4f5c>\u63a2\u7d22\u4e0d\u5145\u5206\uff0c\u5f88\u96be\u627e\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n\u4e3a\u7a81\u7834Deep GSP\u7684\u95ee\u9898\uff0c\u7ecf\u8fc7\u591a\u667a\u80fd\u4f53value\u5206\u914d\u6216\u8005\u96c6\u5408\u5efa\u6a21\uff0c\u5c1d\u8bd5\u5c06\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u53c2\u7ade\u653e\u5728\u4e00\u4e2a\u96c6\u5408\u4e2d\u4f18\u5316\uff0c\u5efa\u6a21\u548c\u6548\u679c\u5728\u540c\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u7701\u53bb\u505a\u4fe1\u7528\u5206\u914d\uff0c\u5355\u76ee\u6807\u4f18\u5316\u6709\u6548\uff0c\u4f46\u662f\u591a\u76ee\u6807\u4f18\u5316\u6548\u679c\u4e0d\u660e\u663e\u3002\u5355\u76ee\u6807\u662f\u7aef\u5230\u7aef\u4f18\u5316\uff0c\u53ea\u8981\u5b66\u51favalue\u7684\u5206\u5e03\uff0c\u7136\u540e\u8fdb\u884csoftmax\uff0c\u5c06\u6700\u5927\u7684\u4f5c\u4e3a\u5c55\u793a\u5e7f\u544a\uff0c\u7b2c\u4e8c\u4f5c\u4e3a\u6263\u8d39\u3002\u591a\u76ee\u6807\u4e0b\u9700\u8981\u5bf9\u6240\u6709\u7684\u5e7f\u544a\u5148\u6392\u5e8f\uff0c\u57fa\u4e8e\u6392\u5e8f\u7ed3\u679c\u8fdb\u884c\u5206\u914d\u6263\u8d39\uff0c\u4f46\u662f\u6392\u5e8f\u8fc7\u7a0b\u4e0d\u53ef\u5fae\uff0c\u65e0\u6cd5\u50cf\u76d1\u7763\u5b66\u4e60\u901a\u8fc7\u4f18\u5316\u6548\u679c\uff0c\u901a\u8fc7Loss\u53cd\u5411\u4f20\u9012\u9a71\u52a8\u6a21\u578b\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u63a8\u51faNeural Auction\u62cd\u5356\u673a\u5236\uff0c\u901a\u8fc7\u6700\u540e\u7684\u6548\u679c\u53cd\u5411\u4f20\u5bfc\u7684\u65b9\u5f0f\uff0c\u9a71\u52a8\u6574\u4e2a\u6a21\u578b\u8bad\u7ec3\uff0c\u5b9e\u73b0\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n\u2461 Neural Auction – \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236<\/strong><\/p>\n\n\n\n\u57fa\u4e8e\u53ef\u5fae\u6392\u5e8f\u7b97\u5b50\uff0c\u5b9e\u73b0\u6574\u4e2a\u8fc7\u7a0b\u7684\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n\u96c6\u5408\u7f16\u7801\u5668<\/strong>\uff08Set Encoder\uff09\uff0c\u5b66\u4e60\u6574\u4e2a\u7ade\u4ef7\u961f\u5217\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8f93\u51fa\u4e00\u4e2a\u5b9a\u4e49\u5728\u7ade\u4ef7\u961f\u5217\u4e0a\u7684\u7279\u5f81\uff1b<\/li>\u4e0a\u4e0b\u6587\u8bc4\u5206\u51fd\u6570<\/strong>\uff08Context-Aware Rank Score Function\uff09\uff0c\u4ee5\u5355\u4e2a\u5e7f\u544a\u7684\u7279\u5f81\u548c\u7ade\u4ef7\u961f\u5217\u7279\u5f81\u4f5c\u4e3a\u8f93\u5165\uff0c\u5b66\u4e60\u6bcf\u4e2a\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\uff0c\u5e76\u4fdd\u969c\u5e7f\u544a\u4e3b\u7684 IC\/IR \u6027\u8d28\uff1b<\/li>\u53ef\u5fae\u6392\u5e8f\u5f15\u64ce<\/strong>\uff08Differentiable Sorting Engine\uff09\uff0c\u4ee5\u7ade\u4ef7\u961f\u5217\u6240\u6709\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\u4e3a\u8f93\u5165\uff0c\u4ee5\u53ef\u5fae\u7684\u5f62\u5f0f\u8fdb\u884c\u6392\u5e8f\u64cd\u4f5c\uff0c\u5e76\u8fdb\u4e00\u6b65\u8ba1\u7b97\u5728\u5f53\u524d\u6392\u5e8f\u5206\u72b6\u6001\u4e0b\u7684\u5176\u4ed6\u4f30\u8ba1\u6307\u6807\u3002<\/li><\/ul>\n\n\n\n\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. 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GSP \u548cNeural Auction\u7b49\u8fd9\u6837\u7684\u62cd\u5356\u673a\u5236\u7b56\u7565\u3002\u6700\u540e\uff0c\u4e3a\u4e86\u80fd\u591f\u66f4\u597d\u7684\u652f\u6491\u4e1a\u52a1\u53d1\u5c55\uff0c\u548c\u5de5\u7a0b\u56e2\u961f\u4e00\u8d77\u642d\u5efa\u4e86\u5e73\u53f0\u5316\u6846\u67b6\uff0c\u8fd9\u6837\u65b0\u573a\u666f\u6216\u8005\u65b0\u4e1a\u52a1\u6765\u7684\u65f6\u5019\uff0c\u80fd\u591f\u5feb\u901f\u7684\u628a\u673a\u5236\u7b56\u7565\u7684\u80fd\u529b\u8865\u5168\u3002<\/p>\n\n\n\n\u7efc\u5408\u6765\u770b\uff0cAIDA\u5206\u5c42\u534f\u540c\u7b97\u6cd5\u6846\u67b6\uff0c\u901a\u8fc7bidding\u667a\u80fd\u4f53\u4f18\u5316\u5e7f\u544a\u4e3b\u591a\u76ee\u6807\uff0c\u901a\u8fc7\u667a\u80fd\u62cd\u5356\u673a\u5236\u63d0\u5347\u5e73\u53f0\u5206\u914d\u6548\u7387\u3002AIDA\u5e73\u53f0\u5316\u7684\u5de5\u7a0b\u6846\u67b6\uff0c\u5feb\u901f\u652f\u6491\u4e1a\u52a1\u8fed\u4ee3\u3002<\/p>\n\n\n\n04<\/strong><\/p>\n\n\n\n\u667a\u80fd\u62cd\u5356\u673a\u5236\u6f14\u8fdb\u4e4b\u8def<\/strong><\/h2>\n\n\n\n1. \u4e3a\u4ec0\u4e48\u8981\u505a\u667a\u80fd\u62cd\u5356\u673a\u5236<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u5982\u524d\u6240\u8ff0\uff0c\u5927\u5a92\u4f53\u5f62\u5f0f\u7684\u5e7f\u544a\u5e73\u53f0\u9700\u8981\u4f18\u5316\u591a\u76ee\u6807\uff0c\u4f46\u662f\u5e7f\u544a\u5e73\u53f0\u7684\u591a\u76ee\u6807\u4f18\u5316\u4e0d\u7b49\u540c\u4e8e\u7ecf\u5178\u7684\u591a\u76ee\u6807\u4f18\u5316\u95ee\u9898\uff0c\u5728\u5e7f\u544a\u535a\u5f08\u573a\u666f\u4e0b\uff0c\u9700\u8981\u8bbe\u8ba1\u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236\u3002\u800c\u7ecf\u5178\u7684\u62cd\u5356\u673a\u5236\uff0c\u6bd4\u5982Myerson Auction\uff0cGSP\u3001VCG\u7b49\uff0c\u5f80\u5f80\u53ea\u8003\u8651\u5355\u4e2a\u76ee\u6807\u4f18\u5316\uff0c\u6ca1\u6709\u529e\u6cd5\u76f4\u63a5\u5e94\u7528\u5230\u591a\u76ee\u6807\u7684\u4f18\u5316\u4e0a\u3002<\/p>\n\n\n\n\u8fd1\u51e0\u5e74\u5b66\u672f\u754c\u5c06\u6df1\u5ea6\u5b66\u4e60\u548c\u5f3a\u5316\u5b66\u4e60\u6280\u672f\u5e94\u7528\u5230\u62cd\u5356\u673a\u5236\u9886\u57df\u4e2d\uff0c\u663e\u8457\u5730\u63d0\u5347\u4e86\u4f18\u5316\u6548\u679c\u3002\u4ee5\u54c8\u4f5b\uff0cGoogle Research\u4e3a\u4ee3\u8868\u7684\u5b66\u672f\u754c\u5728\u6df1\u5ea6\u62cd\u5356\u673a\u5236\u505a\u4e86\u5927\u91cf\u7684\u63a2\u7d22\uff0c\u5176\u4e2dRegretNet\u5728\u6df1\u5ea6\u62cd\u5356\u673a\u5236\u91cc\u53d7\u5230\u5e7f\u6cdb\u5173\u6ce8\u3002\u4f46\u662f\u5b66\u672f\u754c\u8bbe\u8ba1\u7684\u62cd\u5356\u673a\u5236\u7406\u8bba\u5047\u8bbe\u5f88\u5f3a\uff0c\u96be\u4ee5\u5e94\u7528\u5230\u5de5\u4e1a\u754c\u3002<\/p>\n\n\n\n\u56e0\u6b64\u6211\u4eec\u5f00\u59cb\u601d\u8003\uff0c\u5982\u4f55\u8bbe\u8ba1\u65b0\u578b\u7684\u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236\uff0c\u5e76\u7ed3\u5408\u5de5\u4e1a\u754c\u6d77\u91cf\u6570\u636e\u7684\u4f18\u52bf\uff0c\u901a\u8fc7\u6df1\u5ea6\u7f51\u7edc\u63d0\u5347\u673a\u5236\u7684\u4f18\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n2. \u95ee\u9898\u5b9a\u4e49\u548c\u6311\u6218<\/h3>\n\n\n\n\u57fa\u4e8e\u4ee5\u4e0a\u80cc\u666f\uff0c\u963f\u91cc\u5988\u5988\u5c55\u793a\u5e7f\u544a\u5b9a\u4e49\u4e86\u591a\u76ee\u6807\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u53ca\u6311\u6218\u3002<\/p>\n\n\n\n\u2460 \u95ee\u9898\u5b9a\u4e49<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5176\u4e2df(b;M)\u51fd\u6570\u662f\u4f18\u5316\u76ee\u6807\uff0c\u6bd4\u5982RPM\u3001CTR\u3001GMV\u3002\u4f18\u5316\u76ee\u6807\u7684\u7ea6\u675f\u6761\u4ef6\u662f\u7ecf\u6d4e\u5b66\u6027\u8d28\uff0c\u6bd4\u5982\u5747\u8861\u535a\u5f08\uff0c\u5373\u5728\u4fdd\u8bc1\u826f\u597d\u7684\u7ecf\u6d4e\u5b66\u6027\u8d28\u4e0b\u4f18\u5316\u591a\u76ee\u6807\u3002<\/p>\n\n\n\n\u2461 \u9762\u4e34\u6311\u6218<\/strong><\/p>\n\n\n\n\u5982\u4f55\u5c06\u7ecf\u6d4e\u5b66\u6027\u8d28\u878d\u5165\u5230\u673a\u5236\u8bbe\u8ba1\u4e2d\uff0c\u5373\u535a\u5f08\u5747\u8861\u662f\u4e00\u4e2a\u7ecf\u6d4e\u5b66\u95ee\u9898\uff0c\u5982\u4f55\u7528\u7b80\u6d01\u7684\u6570\u5b66\u5f62\u5f0f\u8868\u8fbe\uff0c\u5e76\u878d\u5165\u6a21\u578b\u4e2d\u5b66\u4e60\u3002<\/li>\u5982\u4f55\u9762\u5411\u540e\u9a8c\u76ee\u6807\u4f18\u5316\uff0c\u5373\u5f88\u591a\u4f18\u5316\u76ee\u6807\u6307\u6807\u96be\u4ee5\u7cbe\u51c6\u4f30\u8ba1\uff0c\u53ea\u80fd\u901a\u8fc7\u771f\u5b9e\u53cd\u9988\u7684\u65b9\u5f0f\u624d\u80fd\u83b7\u5f97\u3002<\/li>\u5982\u4f55\u7075\u6d3b\u8c03\u63a7\u591a\u76ee\u6807\uff0c\u5373\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u4e0d\u4e00\u6837\uff0c\u5982\u4f55\u8bbe\u8ba1\u66f4\u7075\u6d3b\u7684\u8c03\u63a7\u673a\u5236\uff0c\u6ee1\u8db3\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u3002<\/li><\/ul>\n\n\n\n3. \u6df1\u5ea6\u7f51\u7edc\u8d4b\u80fd\u62cd\u5356\u673a\u5236(Deep GSP)<\/h3>\n\n\n\n\u2460 \u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u667a\u80fd\u62cd\u5356\u673a\u5236Deep GSP<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5b9a\u4e49\u5c55\u793a\u5e7f\u544a\u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u8fb9\u754c\u540e\uff0c\u8c03\u7814\u4e86\u5177\u5907\u7ecf\u6d4e\u6027\u6fc0\u52b1\u517c\u5bb9\u7684Myerson Theorem\u7406\u8bba\uff0c\u8be5\u7406\u8bba\u7684\u5145\u8981\u6761\u4ef6\u6709\u4e24\u4e2a\uff0c\u4e00\u662f\u5355\u8c03\u5206\u914d\uff0c\u5373\u5e7f\u544a\u4e3b\u51fa\u4ef7\u8d8a\u9ad8\uff0c\u83b7\u5f97\u5c55\u793a\u5206\u914d\u7684\u6982\u7387\u8d8a\u5927\uff1b\u4e8c\u662f\u6700\u5c0f\u6263\u8d39\uff0c\u5373\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u6070\u597d\u7ade\u5f97\u5c55\u793a\u6d41\u91cf\u7684\u6700\u5c0f\u6263\u8d39\uff0c\u7b49\u4ef7\u4e8e\u7b2c\u4e8c\u5bb6\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u3002\u540c\u65f6\uff0cMyserson\u7406\u8bba\u80fd\u63a8\u5bfc\u6536\u5165\u6700\u5927\u5316\u7684\u6700\u4f18\u673a\u5236\u3002\u5047\u8bbe\u5e7f\u544a\u4e3bvalue\u7684\u5206\u5e03\u5df2\u77e5\u4e14\u72ec\u7acb\uff0c\u80fd\u63a8\u5bfc\u51fa\u4e00\u79cd\u6700\u4f18\u7684\u5e7f\u544a\u7684\u5206\u914d\u51fd\u6570\uff0c\u6839\u636e\u5206\u914d\u51fd\u6570\u53ca\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u51b3\u5b9a\u6d41\u91cf\u7ed9\u54ea\u4e2a\u5e7f\u544a\u4e3b\u3002<\/p>\n\n\n\n\u57fa\u4e8eMyserson\u542f\u53d1\u53caGSP\u6846\u67b6\uff0c\u8bbe\u8ba1\u4e86\u5177\u6709\u826f\u597d\u7684\u53ef\u89e3\u91ca\u6027\u4e14\u6613\u4e8e\u90e8\u7f72\u7684Deep GSP\u673a\u5236\u3002\u8be5\u673a\u5236\u5b9a\u4e49\u4e86\u5206\u914d\u5f62\u5f0f\uff0c\u5f53\u7ed9\u5b9a\u5e7f\u544a\u4e3b\u7684\u7ade\u4ef7\u961f\u5217\u65f6\uff0c\u5728\u9075\u5faaMyserson\u6fc0\u52b1\u517c\u5bb9\u5145\u8981\u6761\u4ef6\u4e0b\uff0c\u6839\u636e\u5e7f\u544a\u4e3b\u81ea\u8eab\u7684\u7279\u6027\u5b66\u4e60\u6a21\u578b\u7cfb\u6570 \uff0c\u4ece\u800c\u5f71\u54cdrankscore\u51b3\u5b9a\u5206\u914d\u53ca\u6263\u8d39\u3002\u5f53\u6ee1\u8db3\u5bf9\u5355\u8c03\u9012\u51cf\uff0cDeep GSP\u5bf9\u4e8e\u6548\u7528\u6700\u5927\u5316\uff08utility maximizer\uff09\u5355\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\uff0c\u591a\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u7eb3\u4ec0\u5747\u8861\u3002\u540c\u65f6\uff0c\u5bf9\u4e8evalue maximizer\u5e7f\u544a\u4e3b\u4e5f\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\u3002<\/p>\n\n\n\n\u2461 Deep GSP\u5173\u952e\u521b\u65b0\u6280\u672f<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u7b80\u5355\u4ecb\u7ecdDeep GSP\u7684\u5173\u952e\u521b\u65b0\u6280\u672f\uff0c\u5177\u4f53\u7ec6\u8282\u53ef\u4ee5\u53c2\u8003\u8bba\u6587\u3002<\/p>\n\n\n\n\u9996\u5148\uff0c\u5355\u8c03\u6027\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u5355\u8c03\u5206\u914d\u3002bid\u4f5c\u4e3a\u7f51\u7edc\u7279\u5f81\uff0c\u5355\u8c03\u9012\u589e\u4ee3\u8868\u7f51\u7edc\u5bf9\u7279\u5f81\u7684\u68af\u5ea6\u5927\u4e8e0\uff0c\u8bbe\u8ba1\u7f51\u7edc\u65f6\u9700\u8003\u8651\u5355\u8c03\u6027\u90e8\u7f72\u3002<\/p>\n\n\n\n\u5176\u6b21\uff0c\u7ad9\u5728\u5e73\u53f0\u673a\u5236\u89c6\u89d2\uff0c\u9700\u8981\u51b3\u5b9a\u7ed9\u5e7f\u544a\u4e3b\u4ec0\u4e48\u52a8\u4f5c\uff0c\u54ea\u4e2a\u5e7f\u544a\u4e3b\u80dc\u51fa\u3002\u6700\u597d\u7684\u673a\u5236\u662f\u8ba9\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u914d\u5408\u8d77\u6765\uff0c\u8ba9\u6700\u597d\u7684\u5e7f\u544a\u4e3b\u80dc\u51fa\uff0c\u5dee\u7684\u5e7f\u544a\u4e3b\u5931\u8d25\uff0c\u7136\u540e\u8bc4\u4f30\u5bf9\u5e7f\u544a\u4e3b\u52a8\u4f5c\u7684\u597d\u4e0e\u574f\uff0c\u4ee5\u53ca\u5bf9\u6574\u4f53\u6548\u679c\u7684\u5f71\u54cd\u6709\u591a\u5c11\uff0c\u5176\u4e2d\u6d89\u53ca\u5230\u4fe1\u7528\u5206\u914d\u7684\u95ee\u9898\uff0c\u7ed3\u5408\u542f\u53d1\u5f0f\u7b97\u6cd5\u7efc\u5408\u8003\u8651\u6bcf\u4e2a\u5e7f\u544a\u7684\u8d28\u91cf\uff0c\u5bf9\u6574\u4f53\u7684\u5f71\u54cd\u505areward\u3002<\/p>\n\n\n\n\u6700\u540e\uff0c\u9762\u5411\u4e00\u4e2a\u771f\u5b9e\u53cd\u9988\u505a\u6a21\u578b\u7684\u8bad\u7ec3\u3002\u548c\u5176\u4ed6\u5f3a\u5316\u5b66\u4e60\u4e0d\u592a\u4e00\u6837\uff0c\u6ca1\u6709\u4f7f\u7528\u6a21\u62df\u73af\u5883\uff0c\u800c\u662f\u57fa\u4e8e\u771f\u5b9e\u7684\u73af\u5883\u4ea7\u751f\u6570\u636e\uff0c\u7136\u540e\u505a\u95ed\u73af\u7684\u8bad\u7ec3\uff0c\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u4f18\u5316\u6548\u679c\u771f\u5b9e\u6709\u6548\u3002<\/p>\n\n\n\n\u2462 DeepGSP\u4e1a\u52a1\u8d21\u732e\u53ca\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aDeep GSP\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cDeep GSP\u57282020.5-2020.11\u5171\u505a\u4e86\u591a\u6b21\u6280\u672f\u5347\u7ea7\uff0c\u901a\u8fc7\u9762\u5411\u771f\u5b9e\u53cd\u9988\u4f18\u5316\uff0c\u63d0\u5347\u4e86\u5e73\u53f0\u5206\u914d\u6548\u7387\uff0c\u7d2f\u8ba1\u62c9\u52a8\u4fe1\u606f\u6d41\u5e7f\u544a\u5927\u76d8\u4e24\u4f4d\u6570\u589e\u957f\u3002\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0c\u591a\u6b21\u7528\u4e8e\u4e1a\u52a1\u51b3\u7b56\u63d0\u5347CTR\u548cROI\uff0c\u8c03\u63a7\u6548\u679c\u663e\u8457\u9ad8\u4e8euGSP\u7b49\u7b56\u7565\u3002<\/p>\n\n\n\nPaper “Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising” \u88abWSDM’2021\u63a5\u6536\uff0c\u5927\u4f1a\u5bf9\u6587\u7ae0\u4e5f\u505a\u51fa\u4e86\u201c\u5f00\u521b\u6027\u201d\u79f0\u8d5e\u3002<\/p>\n\n\n\n4. \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236(Neural Auction)<\/h3>\n\n\n\n\u2460 \u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u8fdb\u4e00\u6b65\u601d\u8003Neural Auction<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nDeep GSP\u662f\u57fa\u4e8e\u5e7f\u544a\u7c92\u5ea6\u5efa\u6a21\uff0c\u901a\u8fc7\u4fe1\u7528\u5206\u914d\u89e3\u51b3\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u65b9\u5411\u3002\u4f46\u662f\u5b58\u5728\u4e24\u4e2a\u95ee\u9898\uff0c\u7b2c\u4e00\uff0c\u4fe1\u7528\u5206\u914d\u96be\uff0cReward\u8bbe\u8ba1\u975e\u5e38\u4f9d\u8d56\u4e1a\u52a1\u7ecf\u9a8c\uff1b\u7b2c\u4e8c\uff0c\u641c\u7d22\u7a7a\u95f4\u5927\uff0c\u5982\u679c<\u72b6\u6001\uff0c\u52a8\u4f5c>\u63a2\u7d22\u4e0d\u5145\u5206\uff0c\u5f88\u96be\u627e\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n\u4e3a\u7a81\u7834Deep GSP\u7684\u95ee\u9898\uff0c\u7ecf\u8fc7\u591a\u667a\u80fd\u4f53value\u5206\u914d\u6216\u8005\u96c6\u5408\u5efa\u6a21\uff0c\u5c1d\u8bd5\u5c06\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u53c2\u7ade\u653e\u5728\u4e00\u4e2a\u96c6\u5408\u4e2d\u4f18\u5316\uff0c\u5efa\u6a21\u548c\u6548\u679c\u5728\u540c\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u7701\u53bb\u505a\u4fe1\u7528\u5206\u914d\uff0c\u5355\u76ee\u6807\u4f18\u5316\u6709\u6548\uff0c\u4f46\u662f\u591a\u76ee\u6807\u4f18\u5316\u6548\u679c\u4e0d\u660e\u663e\u3002\u5355\u76ee\u6807\u662f\u7aef\u5230\u7aef\u4f18\u5316\uff0c\u53ea\u8981\u5b66\u51favalue\u7684\u5206\u5e03\uff0c\u7136\u540e\u8fdb\u884csoftmax\uff0c\u5c06\u6700\u5927\u7684\u4f5c\u4e3a\u5c55\u793a\u5e7f\u544a\uff0c\u7b2c\u4e8c\u4f5c\u4e3a\u6263\u8d39\u3002\u591a\u76ee\u6807\u4e0b\u9700\u8981\u5bf9\u6240\u6709\u7684\u5e7f\u544a\u5148\u6392\u5e8f\uff0c\u57fa\u4e8e\u6392\u5e8f\u7ed3\u679c\u8fdb\u884c\u5206\u914d\u6263\u8d39\uff0c\u4f46\u662f\u6392\u5e8f\u8fc7\u7a0b\u4e0d\u53ef\u5fae\uff0c\u65e0\u6cd5\u50cf\u76d1\u7763\u5b66\u4e60\u901a\u8fc7\u4f18\u5316\u6548\u679c\uff0c\u901a\u8fc7Loss\u53cd\u5411\u4f20\u9012\u9a71\u52a8\u6a21\u578b\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u63a8\u51faNeural Auction\u62cd\u5356\u673a\u5236\uff0c\u901a\u8fc7\u6700\u540e\u7684\u6548\u679c\u53cd\u5411\u4f20\u5bfc\u7684\u65b9\u5f0f\uff0c\u9a71\u52a8\u6574\u4e2a\u6a21\u578b\u8bad\u7ec3\uff0c\u5b9e\u73b0\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n\u2461 Neural Auction – \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236<\/strong><\/p>\n\n\n\n\u57fa\u4e8e\u53ef\u5fae\u6392\u5e8f\u7b97\u5b50\uff0c\u5b9e\u73b0\u6574\u4e2a\u8fc7\u7a0b\u7684\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n\u96c6\u5408\u7f16\u7801\u5668<\/strong>\uff08Set Encoder\uff09\uff0c\u5b66\u4e60\u6574\u4e2a\u7ade\u4ef7\u961f\u5217\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8f93\u51fa\u4e00\u4e2a\u5b9a\u4e49\u5728\u7ade\u4ef7\u961f\u5217\u4e0a\u7684\u7279\u5f81\uff1b<\/li>\u4e0a\u4e0b\u6587\u8bc4\u5206\u51fd\u6570<\/strong>\uff08Context-Aware Rank Score Function\uff09\uff0c\u4ee5\u5355\u4e2a\u5e7f\u544a\u7684\u7279\u5f81\u548c\u7ade\u4ef7\u961f\u5217\u7279\u5f81\u4f5c\u4e3a\u8f93\u5165\uff0c\u5b66\u4e60\u6bcf\u4e2a\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\uff0c\u5e76\u4fdd\u969c\u5e7f\u544a\u4e3b\u7684 IC\/IR \u6027\u8d28\uff1b<\/li>\u53ef\u5fae\u6392\u5e8f\u5f15\u64ce<\/strong>\uff08Differentiable Sorting Engine\uff09\uff0c\u4ee5\u7ade\u4ef7\u961f\u5217\u6240\u6709\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\u4e3a\u8f93\u5165\uff0c\u4ee5\u53ef\u5fae\u7684\u5f62\u5f0f\u8fdb\u884c\u6392\u5e8f\u64cd\u4f5c\uff0c\u5e76\u8fdb\u4e00\u6b65\u8ba1\u7b97\u5728\u5f53\u524d\u6392\u5e8f\u5206\u72b6\u6001\u4e0b\u7684\u5176\u4ed6\u4f30\u8ba1\u6307\u6807\u3002<\/li><\/ul>\n\n\n\n\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. 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GSP \u548cNeural 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\u4e3a\u4ec0\u4e48\u8981\u505a\u667a\u80fd\u62cd\u5356\u673a\u5236<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u5982\u524d\u6240\u8ff0\uff0c\u5927\u5a92\u4f53\u5f62\u5f0f\u7684\u5e7f\u544a\u5e73\u53f0\u9700\u8981\u4f18\u5316\u591a\u76ee\u6807\uff0c\u4f46\u662f\u5e7f\u544a\u5e73\u53f0\u7684\u591a\u76ee\u6807\u4f18\u5316\u4e0d\u7b49\u540c\u4e8e\u7ecf\u5178\u7684\u591a\u76ee\u6807\u4f18\u5316\u95ee\u9898\uff0c\u5728\u5e7f\u544a\u535a\u5f08\u573a\u666f\u4e0b\uff0c\u9700\u8981\u8bbe\u8ba1\u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236\u3002\u800c\u7ecf\u5178\u7684\u62cd\u5356\u673a\u5236\uff0c\u6bd4\u5982Myerson Auction\uff0cGSP\u3001VCG\u7b49\uff0c\u5f80\u5f80\u53ea\u8003\u8651\u5355\u4e2a\u76ee\u6807\u4f18\u5316\uff0c\u6ca1\u6709\u529e\u6cd5\u76f4\u63a5\u5e94\u7528\u5230\u591a\u76ee\u6807\u7684\u4f18\u5316\u4e0a\u3002<\/p>\n\n\n\n\u8fd1\u51e0\u5e74\u5b66\u672f\u754c\u5c06\u6df1\u5ea6\u5b66\u4e60\u548c\u5f3a\u5316\u5b66\u4e60\u6280\u672f\u5e94\u7528\u5230\u62cd\u5356\u673a\u5236\u9886\u57df\u4e2d\uff0c\u663e\u8457\u5730\u63d0\u5347\u4e86\u4f18\u5316\u6548\u679c\u3002\u4ee5\u54c8\u4f5b\uff0cGoogle Research\u4e3a\u4ee3\u8868\u7684\u5b66\u672f\u754c\u5728\u6df1\u5ea6\u62cd\u5356\u673a\u5236\u505a\u4e86\u5927\u91cf\u7684\u63a2\u7d22\uff0c\u5176\u4e2dRegretNet\u5728\u6df1\u5ea6\u62cd\u5356\u673a\u5236\u91cc\u53d7\u5230\u5e7f\u6cdb\u5173\u6ce8\u3002\u4f46\u662f\u5b66\u672f\u754c\u8bbe\u8ba1\u7684\u62cd\u5356\u673a\u5236\u7406\u8bba\u5047\u8bbe\u5f88\u5f3a\uff0c\u96be\u4ee5\u5e94\u7528\u5230\u5de5\u4e1a\u754c\u3002<\/p>\n\n\n\n\u56e0\u6b64\u6211\u4eec\u5f00\u59cb\u601d\u8003\uff0c\u5982\u4f55\u8bbe\u8ba1\u65b0\u578b\u7684\u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236\uff0c\u5e76\u7ed3\u5408\u5de5\u4e1a\u754c\u6d77\u91cf\u6570\u636e\u7684\u4f18\u52bf\uff0c\u901a\u8fc7\u6df1\u5ea6\u7f51\u7edc\u63d0\u5347\u673a\u5236\u7684\u4f18\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n2. \u95ee\u9898\u5b9a\u4e49\u548c\u6311\u6218<\/h3>\n\n\n\n\u57fa\u4e8e\u4ee5\u4e0a\u80cc\u666f\uff0c\u963f\u91cc\u5988\u5988\u5c55\u793a\u5e7f\u544a\u5b9a\u4e49\u4e86\u591a\u76ee\u6807\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u53ca\u6311\u6218\u3002<\/p>\n\n\n\n\u2460 \u95ee\u9898\u5b9a\u4e49<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5176\u4e2df(b;M)\u51fd\u6570\u662f\u4f18\u5316\u76ee\u6807\uff0c\u6bd4\u5982RPM\u3001CTR\u3001GMV\u3002\u4f18\u5316\u76ee\u6807\u7684\u7ea6\u675f\u6761\u4ef6\u662f\u7ecf\u6d4e\u5b66\u6027\u8d28\uff0c\u6bd4\u5982\u5747\u8861\u535a\u5f08\uff0c\u5373\u5728\u4fdd\u8bc1\u826f\u597d\u7684\u7ecf\u6d4e\u5b66\u6027\u8d28\u4e0b\u4f18\u5316\u591a\u76ee\u6807\u3002<\/p>\n\n\n\n\u2461 \u9762\u4e34\u6311\u6218<\/strong><\/p>\n\n\n\n\u5982\u4f55\u5c06\u7ecf\u6d4e\u5b66\u6027\u8d28\u878d\u5165\u5230\u673a\u5236\u8bbe\u8ba1\u4e2d\uff0c\u5373\u535a\u5f08\u5747\u8861\u662f\u4e00\u4e2a\u7ecf\u6d4e\u5b66\u95ee\u9898\uff0c\u5982\u4f55\u7528\u7b80\u6d01\u7684\u6570\u5b66\u5f62\u5f0f\u8868\u8fbe\uff0c\u5e76\u878d\u5165\u6a21\u578b\u4e2d\u5b66\u4e60\u3002<\/li>\u5982\u4f55\u9762\u5411\u540e\u9a8c\u76ee\u6807\u4f18\u5316\uff0c\u5373\u5f88\u591a\u4f18\u5316\u76ee\u6807\u6307\u6807\u96be\u4ee5\u7cbe\u51c6\u4f30\u8ba1\uff0c\u53ea\u80fd\u901a\u8fc7\u771f\u5b9e\u53cd\u9988\u7684\u65b9\u5f0f\u624d\u80fd\u83b7\u5f97\u3002<\/li>\u5982\u4f55\u7075\u6d3b\u8c03\u63a7\u591a\u76ee\u6807\uff0c\u5373\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u4e0d\u4e00\u6837\uff0c\u5982\u4f55\u8bbe\u8ba1\u66f4\u7075\u6d3b\u7684\u8c03\u63a7\u673a\u5236\uff0c\u6ee1\u8db3\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u3002<\/li><\/ul>\n\n\n\n3. \u6df1\u5ea6\u7f51\u7edc\u8d4b\u80fd\u62cd\u5356\u673a\u5236(Deep GSP)<\/h3>\n\n\n\n\u2460 \u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u667a\u80fd\u62cd\u5356\u673a\u5236Deep GSP<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5b9a\u4e49\u5c55\u793a\u5e7f\u544a\u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u8fb9\u754c\u540e\uff0c\u8c03\u7814\u4e86\u5177\u5907\u7ecf\u6d4e\u6027\u6fc0\u52b1\u517c\u5bb9\u7684Myerson Theorem\u7406\u8bba\uff0c\u8be5\u7406\u8bba\u7684\u5145\u8981\u6761\u4ef6\u6709\u4e24\u4e2a\uff0c\u4e00\u662f\u5355\u8c03\u5206\u914d\uff0c\u5373\u5e7f\u544a\u4e3b\u51fa\u4ef7\u8d8a\u9ad8\uff0c\u83b7\u5f97\u5c55\u793a\u5206\u914d\u7684\u6982\u7387\u8d8a\u5927\uff1b\u4e8c\u662f\u6700\u5c0f\u6263\u8d39\uff0c\u5373\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u6070\u597d\u7ade\u5f97\u5c55\u793a\u6d41\u91cf\u7684\u6700\u5c0f\u6263\u8d39\uff0c\u7b49\u4ef7\u4e8e\u7b2c\u4e8c\u5bb6\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u3002\u540c\u65f6\uff0cMyserson\u7406\u8bba\u80fd\u63a8\u5bfc\u6536\u5165\u6700\u5927\u5316\u7684\u6700\u4f18\u673a\u5236\u3002\u5047\u8bbe\u5e7f\u544a\u4e3bvalue\u7684\u5206\u5e03\u5df2\u77e5\u4e14\u72ec\u7acb\uff0c\u80fd\u63a8\u5bfc\u51fa\u4e00\u79cd\u6700\u4f18\u7684\u5e7f\u544a\u7684\u5206\u914d\u51fd\u6570\uff0c\u6839\u636e\u5206\u914d\u51fd\u6570\u53ca\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u51b3\u5b9a\u6d41\u91cf\u7ed9\u54ea\u4e2a\u5e7f\u544a\u4e3b\u3002<\/p>\n\n\n\n\u57fa\u4e8eMyserson\u542f\u53d1\u53caGSP\u6846\u67b6\uff0c\u8bbe\u8ba1\u4e86\u5177\u6709\u826f\u597d\u7684\u53ef\u89e3\u91ca\u6027\u4e14\u6613\u4e8e\u90e8\u7f72\u7684Deep GSP\u673a\u5236\u3002\u8be5\u673a\u5236\u5b9a\u4e49\u4e86\u5206\u914d\u5f62\u5f0f\uff0c\u5f53\u7ed9\u5b9a\u5e7f\u544a\u4e3b\u7684\u7ade\u4ef7\u961f\u5217\u65f6\uff0c\u5728\u9075\u5faaMyserson\u6fc0\u52b1\u517c\u5bb9\u5145\u8981\u6761\u4ef6\u4e0b\uff0c\u6839\u636e\u5e7f\u544a\u4e3b\u81ea\u8eab\u7684\u7279\u6027\u5b66\u4e60\u6a21\u578b\u7cfb\u6570 \uff0c\u4ece\u800c\u5f71\u54cdrankscore\u51b3\u5b9a\u5206\u914d\u53ca\u6263\u8d39\u3002\u5f53\u6ee1\u8db3\u5bf9\u5355\u8c03\u9012\u51cf\uff0cDeep GSP\u5bf9\u4e8e\u6548\u7528\u6700\u5927\u5316\uff08utility maximizer\uff09\u5355\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\uff0c\u591a\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u7eb3\u4ec0\u5747\u8861\u3002\u540c\u65f6\uff0c\u5bf9\u4e8evalue maximizer\u5e7f\u544a\u4e3b\u4e5f\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\u3002<\/p>\n\n\n\n\u2461 Deep GSP\u5173\u952e\u521b\u65b0\u6280\u672f<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u7b80\u5355\u4ecb\u7ecdDeep GSP\u7684\u5173\u952e\u521b\u65b0\u6280\u672f\uff0c\u5177\u4f53\u7ec6\u8282\u53ef\u4ee5\u53c2\u8003\u8bba\u6587\u3002<\/p>\n\n\n\n\u9996\u5148\uff0c\u5355\u8c03\u6027\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u5355\u8c03\u5206\u914d\u3002bid\u4f5c\u4e3a\u7f51\u7edc\u7279\u5f81\uff0c\u5355\u8c03\u9012\u589e\u4ee3\u8868\u7f51\u7edc\u5bf9\u7279\u5f81\u7684\u68af\u5ea6\u5927\u4e8e0\uff0c\u8bbe\u8ba1\u7f51\u7edc\u65f6\u9700\u8003\u8651\u5355\u8c03\u6027\u90e8\u7f72\u3002<\/p>\n\n\n\n\u5176\u6b21\uff0c\u7ad9\u5728\u5e73\u53f0\u673a\u5236\u89c6\u89d2\uff0c\u9700\u8981\u51b3\u5b9a\u7ed9\u5e7f\u544a\u4e3b\u4ec0\u4e48\u52a8\u4f5c\uff0c\u54ea\u4e2a\u5e7f\u544a\u4e3b\u80dc\u51fa\u3002\u6700\u597d\u7684\u673a\u5236\u662f\u8ba9\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u914d\u5408\u8d77\u6765\uff0c\u8ba9\u6700\u597d\u7684\u5e7f\u544a\u4e3b\u80dc\u51fa\uff0c\u5dee\u7684\u5e7f\u544a\u4e3b\u5931\u8d25\uff0c\u7136\u540e\u8bc4\u4f30\u5bf9\u5e7f\u544a\u4e3b\u52a8\u4f5c\u7684\u597d\u4e0e\u574f\uff0c\u4ee5\u53ca\u5bf9\u6574\u4f53\u6548\u679c\u7684\u5f71\u54cd\u6709\u591a\u5c11\uff0c\u5176\u4e2d\u6d89\u53ca\u5230\u4fe1\u7528\u5206\u914d\u7684\u95ee\u9898\uff0c\u7ed3\u5408\u542f\u53d1\u5f0f\u7b97\u6cd5\u7efc\u5408\u8003\u8651\u6bcf\u4e2a\u5e7f\u544a\u7684\u8d28\u91cf\uff0c\u5bf9\u6574\u4f53\u7684\u5f71\u54cd\u505areward\u3002<\/p>\n\n\n\n\u6700\u540e\uff0c\u9762\u5411\u4e00\u4e2a\u771f\u5b9e\u53cd\u9988\u505a\u6a21\u578b\u7684\u8bad\u7ec3\u3002\u548c\u5176\u4ed6\u5f3a\u5316\u5b66\u4e60\u4e0d\u592a\u4e00\u6837\uff0c\u6ca1\u6709\u4f7f\u7528\u6a21\u62df\u73af\u5883\uff0c\u800c\u662f\u57fa\u4e8e\u771f\u5b9e\u7684\u73af\u5883\u4ea7\u751f\u6570\u636e\uff0c\u7136\u540e\u505a\u95ed\u73af\u7684\u8bad\u7ec3\uff0c\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u4f18\u5316\u6548\u679c\u771f\u5b9e\u6709\u6548\u3002<\/p>\n\n\n\n\u2462 DeepGSP\u4e1a\u52a1\u8d21\u732e\u53ca\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aDeep GSP\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cDeep GSP\u57282020.5-2020.11\u5171\u505a\u4e86\u591a\u6b21\u6280\u672f\u5347\u7ea7\uff0c\u901a\u8fc7\u9762\u5411\u771f\u5b9e\u53cd\u9988\u4f18\u5316\uff0c\u63d0\u5347\u4e86\u5e73\u53f0\u5206\u914d\u6548\u7387\uff0c\u7d2f\u8ba1\u62c9\u52a8\u4fe1\u606f\u6d41\u5e7f\u544a\u5927\u76d8\u4e24\u4f4d\u6570\u589e\u957f\u3002\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0c\u591a\u6b21\u7528\u4e8e\u4e1a\u52a1\u51b3\u7b56\u63d0\u5347CTR\u548cROI\uff0c\u8c03\u63a7\u6548\u679c\u663e\u8457\u9ad8\u4e8euGSP\u7b49\u7b56\u7565\u3002<\/p>\n\n\n\nPaper “Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising” \u88abWSDM’2021\u63a5\u6536\uff0c\u5927\u4f1a\u5bf9\u6587\u7ae0\u4e5f\u505a\u51fa\u4e86\u201c\u5f00\u521b\u6027\u201d\u79f0\u8d5e\u3002<\/p>\n\n\n\n4. \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236(Neural Auction)<\/h3>\n\n\n\n\u2460 \u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u8fdb\u4e00\u6b65\u601d\u8003Neural Auction<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nDeep GSP\u662f\u57fa\u4e8e\u5e7f\u544a\u7c92\u5ea6\u5efa\u6a21\uff0c\u901a\u8fc7\u4fe1\u7528\u5206\u914d\u89e3\u51b3\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u65b9\u5411\u3002\u4f46\u662f\u5b58\u5728\u4e24\u4e2a\u95ee\u9898\uff0c\u7b2c\u4e00\uff0c\u4fe1\u7528\u5206\u914d\u96be\uff0cReward\u8bbe\u8ba1\u975e\u5e38\u4f9d\u8d56\u4e1a\u52a1\u7ecf\u9a8c\uff1b\u7b2c\u4e8c\uff0c\u641c\u7d22\u7a7a\u95f4\u5927\uff0c\u5982\u679c<\u72b6\u6001\uff0c\u52a8\u4f5c>\u63a2\u7d22\u4e0d\u5145\u5206\uff0c\u5f88\u96be\u627e\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n\u4e3a\u7a81\u7834Deep GSP\u7684\u95ee\u9898\uff0c\u7ecf\u8fc7\u591a\u667a\u80fd\u4f53value\u5206\u914d\u6216\u8005\u96c6\u5408\u5efa\u6a21\uff0c\u5c1d\u8bd5\u5c06\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u53c2\u7ade\u653e\u5728\u4e00\u4e2a\u96c6\u5408\u4e2d\u4f18\u5316\uff0c\u5efa\u6a21\u548c\u6548\u679c\u5728\u540c\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u7701\u53bb\u505a\u4fe1\u7528\u5206\u914d\uff0c\u5355\u76ee\u6807\u4f18\u5316\u6709\u6548\uff0c\u4f46\u662f\u591a\u76ee\u6807\u4f18\u5316\u6548\u679c\u4e0d\u660e\u663e\u3002\u5355\u76ee\u6807\u662f\u7aef\u5230\u7aef\u4f18\u5316\uff0c\u53ea\u8981\u5b66\u51favalue\u7684\u5206\u5e03\uff0c\u7136\u540e\u8fdb\u884csoftmax\uff0c\u5c06\u6700\u5927\u7684\u4f5c\u4e3a\u5c55\u793a\u5e7f\u544a\uff0c\u7b2c\u4e8c\u4f5c\u4e3a\u6263\u8d39\u3002\u591a\u76ee\u6807\u4e0b\u9700\u8981\u5bf9\u6240\u6709\u7684\u5e7f\u544a\u5148\u6392\u5e8f\uff0c\u57fa\u4e8e\u6392\u5e8f\u7ed3\u679c\u8fdb\u884c\u5206\u914d\u6263\u8d39\uff0c\u4f46\u662f\u6392\u5e8f\u8fc7\u7a0b\u4e0d\u53ef\u5fae\uff0c\u65e0\u6cd5\u50cf\u76d1\u7763\u5b66\u4e60\u901a\u8fc7\u4f18\u5316\u6548\u679c\uff0c\u901a\u8fc7Loss\u53cd\u5411\u4f20\u9012\u9a71\u52a8\u6a21\u578b\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u63a8\u51faNeural Auction\u62cd\u5356\u673a\u5236\uff0c\u901a\u8fc7\u6700\u540e\u7684\u6548\u679c\u53cd\u5411\u4f20\u5bfc\u7684\u65b9\u5f0f\uff0c\u9a71\u52a8\u6574\u4e2a\u6a21\u578b\u8bad\u7ec3\uff0c\u5b9e\u73b0\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n\u2461 Neural Auction – \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236<\/strong><\/p>\n\n\n\n\u57fa\u4e8e\u53ef\u5fae\u6392\u5e8f\u7b97\u5b50\uff0c\u5b9e\u73b0\u6574\u4e2a\u8fc7\u7a0b\u7684\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n\u96c6\u5408\u7f16\u7801\u5668<\/strong>\uff08Set Encoder\uff09\uff0c\u5b66\u4e60\u6574\u4e2a\u7ade\u4ef7\u961f\u5217\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8f93\u51fa\u4e00\u4e2a\u5b9a\u4e49\u5728\u7ade\u4ef7\u961f\u5217\u4e0a\u7684\u7279\u5f81\uff1b<\/li>\u4e0a\u4e0b\u6587\u8bc4\u5206\u51fd\u6570<\/strong>\uff08Context-Aware Rank Score Function\uff09\uff0c\u4ee5\u5355\u4e2a\u5e7f\u544a\u7684\u7279\u5f81\u548c\u7ade\u4ef7\u961f\u5217\u7279\u5f81\u4f5c\u4e3a\u8f93\u5165\uff0c\u5b66\u4e60\u6bcf\u4e2a\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\uff0c\u5e76\u4fdd\u969c\u5e7f\u544a\u4e3b\u7684 IC\/IR \u6027\u8d28\uff1b<\/li>\u53ef\u5fae\u6392\u5e8f\u5f15\u64ce<\/strong>\uff08Differentiable Sorting Engine\uff09\uff0c\u4ee5\u7ade\u4ef7\u961f\u5217\u6240\u6709\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\u4e3a\u8f93\u5165\uff0c\u4ee5\u53ef\u5fae\u7684\u5f62\u5f0f\u8fdb\u884c\u6392\u5e8f\u64cd\u4f5c\uff0c\u5e76\u8fdb\u4e00\u6b65\u8ba1\u7b97\u5728\u5f53\u524d\u6392\u5e8f\u5206\u72b6\u6001\u4e0b\u7684\u5176\u4ed6\u4f30\u8ba1\u6307\u6807\u3002<\/li><\/ul>\n\n\n\n\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. 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GSP \u548cNeural 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Research\u4e3a\u4ee3\u8868\u7684\u5b66\u672f\u754c\u5728\u6df1\u5ea6\u62cd\u5356\u673a\u5236\u505a\u4e86\u5927\u91cf\u7684\u63a2\u7d22\uff0c\u5176\u4e2dRegretNet\u5728\u6df1\u5ea6\u62cd\u5356\u673a\u5236\u91cc\u53d7\u5230\u5e7f\u6cdb\u5173\u6ce8\u3002\u4f46\u662f\u5b66\u672f\u754c\u8bbe\u8ba1\u7684\u62cd\u5356\u673a\u5236\u7406\u8bba\u5047\u8bbe\u5f88\u5f3a\uff0c\u96be\u4ee5\u5e94\u7528\u5230\u5de5\u4e1a\u754c\u3002<\/p>\n\n\n\n\u56e0\u6b64\u6211\u4eec\u5f00\u59cb\u601d\u8003\uff0c\u5982\u4f55\u8bbe\u8ba1\u65b0\u578b\u7684\u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236\uff0c\u5e76\u7ed3\u5408\u5de5\u4e1a\u754c\u6d77\u91cf\u6570\u636e\u7684\u4f18\u52bf\uff0c\u901a\u8fc7\u6df1\u5ea6\u7f51\u7edc\u63d0\u5347\u673a\u5236\u7684\u4f18\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n2. \u95ee\u9898\u5b9a\u4e49\u548c\u6311\u6218<\/h3>\n\n\n\n\u57fa\u4e8e\u4ee5\u4e0a\u80cc\u666f\uff0c\u963f\u91cc\u5988\u5988\u5c55\u793a\u5e7f\u544a\u5b9a\u4e49\u4e86\u591a\u76ee\u6807\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u53ca\u6311\u6218\u3002<\/p>\n\n\n\n\u2460 \u95ee\u9898\u5b9a\u4e49<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5176\u4e2df(b;M)\u51fd\u6570\u662f\u4f18\u5316\u76ee\u6807\uff0c\u6bd4\u5982RPM\u3001CTR\u3001GMV\u3002\u4f18\u5316\u76ee\u6807\u7684\u7ea6\u675f\u6761\u4ef6\u662f\u7ecf\u6d4e\u5b66\u6027\u8d28\uff0c\u6bd4\u5982\u5747\u8861\u535a\u5f08\uff0c\u5373\u5728\u4fdd\u8bc1\u826f\u597d\u7684\u7ecf\u6d4e\u5b66\u6027\u8d28\u4e0b\u4f18\u5316\u591a\u76ee\u6807\u3002<\/p>\n\n\n\n\u2461 \u9762\u4e34\u6311\u6218<\/strong><\/p>\n\n\n\n\u5982\u4f55\u5c06\u7ecf\u6d4e\u5b66\u6027\u8d28\u878d\u5165\u5230\u673a\u5236\u8bbe\u8ba1\u4e2d\uff0c\u5373\u535a\u5f08\u5747\u8861\u662f\u4e00\u4e2a\u7ecf\u6d4e\u5b66\u95ee\u9898\uff0c\u5982\u4f55\u7528\u7b80\u6d01\u7684\u6570\u5b66\u5f62\u5f0f\u8868\u8fbe\uff0c\u5e76\u878d\u5165\u6a21\u578b\u4e2d\u5b66\u4e60\u3002<\/li>\u5982\u4f55\u9762\u5411\u540e\u9a8c\u76ee\u6807\u4f18\u5316\uff0c\u5373\u5f88\u591a\u4f18\u5316\u76ee\u6807\u6307\u6807\u96be\u4ee5\u7cbe\u51c6\u4f30\u8ba1\uff0c\u53ea\u80fd\u901a\u8fc7\u771f\u5b9e\u53cd\u9988\u7684\u65b9\u5f0f\u624d\u80fd\u83b7\u5f97\u3002<\/li>\u5982\u4f55\u7075\u6d3b\u8c03\u63a7\u591a\u76ee\u6807\uff0c\u5373\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u4e0d\u4e00\u6837\uff0c\u5982\u4f55\u8bbe\u8ba1\u66f4\u7075\u6d3b\u7684\u8c03\u63a7\u673a\u5236\uff0c\u6ee1\u8db3\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u3002<\/li><\/ul>\n\n\n\n3. \u6df1\u5ea6\u7f51\u7edc\u8d4b\u80fd\u62cd\u5356\u673a\u5236(Deep GSP)<\/h3>\n\n\n\n\u2460 \u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u667a\u80fd\u62cd\u5356\u673a\u5236Deep GSP<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5b9a\u4e49\u5c55\u793a\u5e7f\u544a\u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u8fb9\u754c\u540e\uff0c\u8c03\u7814\u4e86\u5177\u5907\u7ecf\u6d4e\u6027\u6fc0\u52b1\u517c\u5bb9\u7684Myerson Theorem\u7406\u8bba\uff0c\u8be5\u7406\u8bba\u7684\u5145\u8981\u6761\u4ef6\u6709\u4e24\u4e2a\uff0c\u4e00\u662f\u5355\u8c03\u5206\u914d\uff0c\u5373\u5e7f\u544a\u4e3b\u51fa\u4ef7\u8d8a\u9ad8\uff0c\u83b7\u5f97\u5c55\u793a\u5206\u914d\u7684\u6982\u7387\u8d8a\u5927\uff1b\u4e8c\u662f\u6700\u5c0f\u6263\u8d39\uff0c\u5373\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u6070\u597d\u7ade\u5f97\u5c55\u793a\u6d41\u91cf\u7684\u6700\u5c0f\u6263\u8d39\uff0c\u7b49\u4ef7\u4e8e\u7b2c\u4e8c\u5bb6\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u3002\u540c\u65f6\uff0cMyserson\u7406\u8bba\u80fd\u63a8\u5bfc\u6536\u5165\u6700\u5927\u5316\u7684\u6700\u4f18\u673a\u5236\u3002\u5047\u8bbe\u5e7f\u544a\u4e3bvalue\u7684\u5206\u5e03\u5df2\u77e5\u4e14\u72ec\u7acb\uff0c\u80fd\u63a8\u5bfc\u51fa\u4e00\u79cd\u6700\u4f18\u7684\u5e7f\u544a\u7684\u5206\u914d\u51fd\u6570\uff0c\u6839\u636e\u5206\u914d\u51fd\u6570\u53ca\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u51b3\u5b9a\u6d41\u91cf\u7ed9\u54ea\u4e2a\u5e7f\u544a\u4e3b\u3002<\/p>\n\n\n\n\u57fa\u4e8eMyserson\u542f\u53d1\u53caGSP\u6846\u67b6\uff0c\u8bbe\u8ba1\u4e86\u5177\u6709\u826f\u597d\u7684\u53ef\u89e3\u91ca\u6027\u4e14\u6613\u4e8e\u90e8\u7f72\u7684Deep GSP\u673a\u5236\u3002\u8be5\u673a\u5236\u5b9a\u4e49\u4e86\u5206\u914d\u5f62\u5f0f\uff0c\u5f53\u7ed9\u5b9a\u5e7f\u544a\u4e3b\u7684\u7ade\u4ef7\u961f\u5217\u65f6\uff0c\u5728\u9075\u5faaMyserson\u6fc0\u52b1\u517c\u5bb9\u5145\u8981\u6761\u4ef6\u4e0b\uff0c\u6839\u636e\u5e7f\u544a\u4e3b\u81ea\u8eab\u7684\u7279\u6027\u5b66\u4e60\u6a21\u578b\u7cfb\u6570 \uff0c\u4ece\u800c\u5f71\u54cdrankscore\u51b3\u5b9a\u5206\u914d\u53ca\u6263\u8d39\u3002\u5f53\u6ee1\u8db3\u5bf9\u5355\u8c03\u9012\u51cf\uff0cDeep GSP\u5bf9\u4e8e\u6548\u7528\u6700\u5927\u5316\uff08utility maximizer\uff09\u5355\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\uff0c\u591a\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u7eb3\u4ec0\u5747\u8861\u3002\u540c\u65f6\uff0c\u5bf9\u4e8evalue maximizer\u5e7f\u544a\u4e3b\u4e5f\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\u3002<\/p>\n\n\n\n\u2461 Deep GSP\u5173\u952e\u521b\u65b0\u6280\u672f<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u7b80\u5355\u4ecb\u7ecdDeep GSP\u7684\u5173\u952e\u521b\u65b0\u6280\u672f\uff0c\u5177\u4f53\u7ec6\u8282\u53ef\u4ee5\u53c2\u8003\u8bba\u6587\u3002<\/p>\n\n\n\n\u9996\u5148\uff0c\u5355\u8c03\u6027\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u5355\u8c03\u5206\u914d\u3002bid\u4f5c\u4e3a\u7f51\u7edc\u7279\u5f81\uff0c\u5355\u8c03\u9012\u589e\u4ee3\u8868\u7f51\u7edc\u5bf9\u7279\u5f81\u7684\u68af\u5ea6\u5927\u4e8e0\uff0c\u8bbe\u8ba1\u7f51\u7edc\u65f6\u9700\u8003\u8651\u5355\u8c03\u6027\u90e8\u7f72\u3002<\/p>\n\n\n\n\u5176\u6b21\uff0c\u7ad9\u5728\u5e73\u53f0\u673a\u5236\u89c6\u89d2\uff0c\u9700\u8981\u51b3\u5b9a\u7ed9\u5e7f\u544a\u4e3b\u4ec0\u4e48\u52a8\u4f5c\uff0c\u54ea\u4e2a\u5e7f\u544a\u4e3b\u80dc\u51fa\u3002\u6700\u597d\u7684\u673a\u5236\u662f\u8ba9\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u914d\u5408\u8d77\u6765\uff0c\u8ba9\u6700\u597d\u7684\u5e7f\u544a\u4e3b\u80dc\u51fa\uff0c\u5dee\u7684\u5e7f\u544a\u4e3b\u5931\u8d25\uff0c\u7136\u540e\u8bc4\u4f30\u5bf9\u5e7f\u544a\u4e3b\u52a8\u4f5c\u7684\u597d\u4e0e\u574f\uff0c\u4ee5\u53ca\u5bf9\u6574\u4f53\u6548\u679c\u7684\u5f71\u54cd\u6709\u591a\u5c11\uff0c\u5176\u4e2d\u6d89\u53ca\u5230\u4fe1\u7528\u5206\u914d\u7684\u95ee\u9898\uff0c\u7ed3\u5408\u542f\u53d1\u5f0f\u7b97\u6cd5\u7efc\u5408\u8003\u8651\u6bcf\u4e2a\u5e7f\u544a\u7684\u8d28\u91cf\uff0c\u5bf9\u6574\u4f53\u7684\u5f71\u54cd\u505areward\u3002<\/p>\n\n\n\n\u6700\u540e\uff0c\u9762\u5411\u4e00\u4e2a\u771f\u5b9e\u53cd\u9988\u505a\u6a21\u578b\u7684\u8bad\u7ec3\u3002\u548c\u5176\u4ed6\u5f3a\u5316\u5b66\u4e60\u4e0d\u592a\u4e00\u6837\uff0c\u6ca1\u6709\u4f7f\u7528\u6a21\u62df\u73af\u5883\uff0c\u800c\u662f\u57fa\u4e8e\u771f\u5b9e\u7684\u73af\u5883\u4ea7\u751f\u6570\u636e\uff0c\u7136\u540e\u505a\u95ed\u73af\u7684\u8bad\u7ec3\uff0c\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u4f18\u5316\u6548\u679c\u771f\u5b9e\u6709\u6548\u3002<\/p>\n\n\n\n\u2462 DeepGSP\u4e1a\u52a1\u8d21\u732e\u53ca\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aDeep GSP\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cDeep GSP\u57282020.5-2020.11\u5171\u505a\u4e86\u591a\u6b21\u6280\u672f\u5347\u7ea7\uff0c\u901a\u8fc7\u9762\u5411\u771f\u5b9e\u53cd\u9988\u4f18\u5316\uff0c\u63d0\u5347\u4e86\u5e73\u53f0\u5206\u914d\u6548\u7387\uff0c\u7d2f\u8ba1\u62c9\u52a8\u4fe1\u606f\u6d41\u5e7f\u544a\u5927\u76d8\u4e24\u4f4d\u6570\u589e\u957f\u3002\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0c\u591a\u6b21\u7528\u4e8e\u4e1a\u52a1\u51b3\u7b56\u63d0\u5347CTR\u548cROI\uff0c\u8c03\u63a7\u6548\u679c\u663e\u8457\u9ad8\u4e8euGSP\u7b49\u7b56\u7565\u3002<\/p>\n\n\n\nPaper “Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising” \u88abWSDM’2021\u63a5\u6536\uff0c\u5927\u4f1a\u5bf9\u6587\u7ae0\u4e5f\u505a\u51fa\u4e86\u201c\u5f00\u521b\u6027\u201d\u79f0\u8d5e\u3002<\/p>\n\n\n\n4. \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236(Neural Auction)<\/h3>\n\n\n\n\u2460 \u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u8fdb\u4e00\u6b65\u601d\u8003Neural Auction<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nDeep GSP\u662f\u57fa\u4e8e\u5e7f\u544a\u7c92\u5ea6\u5efa\u6a21\uff0c\u901a\u8fc7\u4fe1\u7528\u5206\u914d\u89e3\u51b3\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u65b9\u5411\u3002\u4f46\u662f\u5b58\u5728\u4e24\u4e2a\u95ee\u9898\uff0c\u7b2c\u4e00\uff0c\u4fe1\u7528\u5206\u914d\u96be\uff0cReward\u8bbe\u8ba1\u975e\u5e38\u4f9d\u8d56\u4e1a\u52a1\u7ecf\u9a8c\uff1b\u7b2c\u4e8c\uff0c\u641c\u7d22\u7a7a\u95f4\u5927\uff0c\u5982\u679c<\u72b6\u6001\uff0c\u52a8\u4f5c>\u63a2\u7d22\u4e0d\u5145\u5206\uff0c\u5f88\u96be\u627e\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n\u4e3a\u7a81\u7834Deep GSP\u7684\u95ee\u9898\uff0c\u7ecf\u8fc7\u591a\u667a\u80fd\u4f53value\u5206\u914d\u6216\u8005\u96c6\u5408\u5efa\u6a21\uff0c\u5c1d\u8bd5\u5c06\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u53c2\u7ade\u653e\u5728\u4e00\u4e2a\u96c6\u5408\u4e2d\u4f18\u5316\uff0c\u5efa\u6a21\u548c\u6548\u679c\u5728\u540c\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u7701\u53bb\u505a\u4fe1\u7528\u5206\u914d\uff0c\u5355\u76ee\u6807\u4f18\u5316\u6709\u6548\uff0c\u4f46\u662f\u591a\u76ee\u6807\u4f18\u5316\u6548\u679c\u4e0d\u660e\u663e\u3002\u5355\u76ee\u6807\u662f\u7aef\u5230\u7aef\u4f18\u5316\uff0c\u53ea\u8981\u5b66\u51favalue\u7684\u5206\u5e03\uff0c\u7136\u540e\u8fdb\u884csoftmax\uff0c\u5c06\u6700\u5927\u7684\u4f5c\u4e3a\u5c55\u793a\u5e7f\u544a\uff0c\u7b2c\u4e8c\u4f5c\u4e3a\u6263\u8d39\u3002\u591a\u76ee\u6807\u4e0b\u9700\u8981\u5bf9\u6240\u6709\u7684\u5e7f\u544a\u5148\u6392\u5e8f\uff0c\u57fa\u4e8e\u6392\u5e8f\u7ed3\u679c\u8fdb\u884c\u5206\u914d\u6263\u8d39\uff0c\u4f46\u662f\u6392\u5e8f\u8fc7\u7a0b\u4e0d\u53ef\u5fae\uff0c\u65e0\u6cd5\u50cf\u76d1\u7763\u5b66\u4e60\u901a\u8fc7\u4f18\u5316\u6548\u679c\uff0c\u901a\u8fc7Loss\u53cd\u5411\u4f20\u9012\u9a71\u52a8\u6a21\u578b\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u63a8\u51faNeural Auction\u62cd\u5356\u673a\u5236\uff0c\u901a\u8fc7\u6700\u540e\u7684\u6548\u679c\u53cd\u5411\u4f20\u5bfc\u7684\u65b9\u5f0f\uff0c\u9a71\u52a8\u6574\u4e2a\u6a21\u578b\u8bad\u7ec3\uff0c\u5b9e\u73b0\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n\u2461 Neural Auction – \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236<\/strong><\/p>\n\n\n\n\u57fa\u4e8e\u53ef\u5fae\u6392\u5e8f\u7b97\u5b50\uff0c\u5b9e\u73b0\u6574\u4e2a\u8fc7\u7a0b\u7684\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n\u96c6\u5408\u7f16\u7801\u5668<\/strong>\uff08Set Encoder\uff09\uff0c\u5b66\u4e60\u6574\u4e2a\u7ade\u4ef7\u961f\u5217\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8f93\u51fa\u4e00\u4e2a\u5b9a\u4e49\u5728\u7ade\u4ef7\u961f\u5217\u4e0a\u7684\u7279\u5f81\uff1b<\/li>\u4e0a\u4e0b\u6587\u8bc4\u5206\u51fd\u6570<\/strong>\uff08Context-Aware Rank Score Function\uff09\uff0c\u4ee5\u5355\u4e2a\u5e7f\u544a\u7684\u7279\u5f81\u548c\u7ade\u4ef7\u961f\u5217\u7279\u5f81\u4f5c\u4e3a\u8f93\u5165\uff0c\u5b66\u4e60\u6bcf\u4e2a\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\uff0c\u5e76\u4fdd\u969c\u5e7f\u544a\u4e3b\u7684 IC\/IR \u6027\u8d28\uff1b<\/li>\u53ef\u5fae\u6392\u5e8f\u5f15\u64ce<\/strong>\uff08Differentiable Sorting Engine\uff09\uff0c\u4ee5\u7ade\u4ef7\u961f\u5217\u6240\u6709\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\u4e3a\u8f93\u5165\uff0c\u4ee5\u53ef\u5fae\u7684\u5f62\u5f0f\u8fdb\u884c\u6392\u5e8f\u64cd\u4f5c\uff0c\u5e76\u8fdb\u4e00\u6b65\u8ba1\u7b97\u5728\u5f53\u524d\u6392\u5e8f\u5206\u72b6\u6001\u4e0b\u7684\u5176\u4ed6\u4f30\u8ba1\u6307\u6807\u3002<\/li><\/ul>\n\n\n\n\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. 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03<\/strong><\/p>\n\n\n\nAIDA\u5e7f\u544a\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6<\/strong><\/h2>\n\n\n\n<\/figure>\n\n\n\n\u9762\u5411\u672a\u6765\u4e1a\u52a1\u53d1\u5c55\uff0c\u591a\u65b9\u5229\u76ca\u4f18\u5316\u3001\u7ecf\u6d4e\u6027\u516c\u5e73\u5747\u8861\u7b49\uff0c\u963f\u91cc\u5988\u5988\u5c55\u793a\u5e7f\u544a\u8bbe\u8ba1\u4e86\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6\uff0c\u7b80\u79f0AIDA\u3002<\/p>\n\n\n\nAIDA\u57fa\u4e8e\u4e1a\u52a1\u672a\u6765\u53d1\u5c55\u8d8b\u52bf\uff0c\u4ee5\u7b97\u6cd5\u67b6\u6784\u5148\u884c\uff0c\u5f15\u5165\u62cd\u5356\u673a\u5236\u4f5c\u4e3a\u7406\u8bba\u57fa\u77f3\uff0c\u8bbe\u8ba1\u4e86AIDA\u5206\u5c42\u534f\u540c\u7b97\u6cd5\u6846\u67b6\u3002\u7b97\u6cd5\u6846\u67b6\u5206\u4e3a\u4e24\u5c42\uff0c\u4e0b\u5c42\u662f\u9762\u5411\u5e7f\u544a\u4e3b\u591a\u76ee\u6807\u8bc9\u6c42\u7684Bidding\u667a\u80fd\u4f53\uff0c\u5c06\u5e7f\u544a\u5e73\u53f0\u6d41\u91cf\u4ef7\u503c\u8d27\u5e01\u5316\u3002\u4e0a\u5c42\u662f\u901a\u8fc7\u62cd\u5356\u673a\u5236\u4f18\u5316\u6574\u4e2a\u5e7f\u544a\u5e73\u53f0\u7684\u76ee\u6807\u3002\u4e0b\u5c42\u901a\u8fc7bidding\u673a\u5236\u64ac\u52a8\u6574\u4e2a\u5e73\u53f0\u4fa7\u7684\u5206\u914d\u673a\u5236\uff0c\u4e0a\u5c42\u901a\u8fc7\u7ecf\u6d4e\u5b66\u6027\u8d28\u4fdd\u8bc1\u4e0b\u5c42\u5e7f\u544a\u4e3b\u5229\u76ca\u5747\u8861\u3002<\/p>\n\n\n\n\u5728\u8fd9\u4e2a\u7b97\u6cd5\u6846\u67b6\u4e0b\uff0c\u5e7f\u544a\u4e3b\u7684\u591a\u6837\u5316\u4f18\u5316\u76ee\u6807\u662f\u72ec\u7acb\u7684\uff0c\u65b0\u589e\u7684\u5e7f\u544a\u4e3b\u6216\u8005\u8425\u9500\u76ee\u6807\uff0c\u53ef\u4ee5\u7075\u6d3b\u63d2\u62d4\u5f0f\u4f18\u5316\u3002\u9762\u5411\u5e7f\u544a\u4e3b\u76ee\u6807\u4f18\u5316\u7684\u51fa\u4ef7\u7b97\u6cd5\u5728\u7ecf\u6d4e\u5b66\u62cd\u5356\u673a\u5236\u4fdd\u8bc1\u4e0b\uff0c\u901a\u8fc7\u535a\u5f08\u5747\u8861\u4fdd\u8bc1\u7cfb\u7edf\u7684\u7a33\u5b9a\u6027\u3002AIDA\u6846\u67b6\u524d\u5c55\u793a\u5e7f\u544a\u7684\u62cd\u5356\u673a\u5236\u662f\u9759\u6001\u7684\uff0c\u6bd4\u5982GSP\u3001VCG\u7b49\uff0c\u4e3a\u4e86\u6253\u5f00\u6548\u679c\u4f18\u5316\u7684\u5929\u82b1\u677f\uff0c\u5e76\u5229\u7528\u5de5\u4e1a\u754c\u6d77\u91cf\u6570\u636e\u7684\u4f18\u52bf\uff0c\u5e76\u7ed3\u5408\u6df1\u5ea6\u7f51\u7edc\u7684\u5f3a\u5927\u7684\u5b66\u4e60\u80fd\u529b\uff0c\u6253\u9020\u4e86\u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u65b9\u5411\uff0c\u4ece\u800c\u8bde\u751f\u4e86Deep GSP \u548cNeural Auction\u7b49\u8fd9\u6837\u7684\u62cd\u5356\u673a\u5236\u7b56\u7565\u3002\u6700\u540e\uff0c\u4e3a\u4e86\u80fd\u591f\u66f4\u597d\u7684\u652f\u6491\u4e1a\u52a1\u53d1\u5c55\uff0c\u548c\u5de5\u7a0b\u56e2\u961f\u4e00\u8d77\u642d\u5efa\u4e86\u5e73\u53f0\u5316\u6846\u67b6\uff0c\u8fd9\u6837\u65b0\u573a\u666f\u6216\u8005\u65b0\u4e1a\u52a1\u6765\u7684\u65f6\u5019\uff0c\u80fd\u591f\u5feb\u901f\u7684\u628a\u673a\u5236\u7b56\u7565\u7684\u80fd\u529b\u8865\u5168\u3002<\/p>\n\n\n\n\u7efc\u5408\u6765\u770b\uff0cAIDA\u5206\u5c42\u534f\u540c\u7b97\u6cd5\u6846\u67b6\uff0c\u901a\u8fc7bidding\u667a\u80fd\u4f53\u4f18\u5316\u5e7f\u544a\u4e3b\u591a\u76ee\u6807\uff0c\u901a\u8fc7\u667a\u80fd\u62cd\u5356\u673a\u5236\u63d0\u5347\u5e73\u53f0\u5206\u914d\u6548\u7387\u3002AIDA\u5e73\u53f0\u5316\u7684\u5de5\u7a0b\u6846\u67b6\uff0c\u5feb\u901f\u652f\u6491\u4e1a\u52a1\u8fed\u4ee3\u3002<\/p>\n\n\n\n04<\/strong><\/p>\n\n\n\n\u667a\u80fd\u62cd\u5356\u673a\u5236\u6f14\u8fdb\u4e4b\u8def<\/strong><\/h2>\n\n\n\n1. \u4e3a\u4ec0\u4e48\u8981\u505a\u667a\u80fd\u62cd\u5356\u673a\u5236<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u5982\u524d\u6240\u8ff0\uff0c\u5927\u5a92\u4f53\u5f62\u5f0f\u7684\u5e7f\u544a\u5e73\u53f0\u9700\u8981\u4f18\u5316\u591a\u76ee\u6807\uff0c\u4f46\u662f\u5e7f\u544a\u5e73\u53f0\u7684\u591a\u76ee\u6807\u4f18\u5316\u4e0d\u7b49\u540c\u4e8e\u7ecf\u5178\u7684\u591a\u76ee\u6807\u4f18\u5316\u95ee\u9898\uff0c\u5728\u5e7f\u544a\u535a\u5f08\u573a\u666f\u4e0b\uff0c\u9700\u8981\u8bbe\u8ba1\u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236\u3002\u800c\u7ecf\u5178\u7684\u62cd\u5356\u673a\u5236\uff0c\u6bd4\u5982Myerson Auction\uff0cGSP\u3001VCG\u7b49\uff0c\u5f80\u5f80\u53ea\u8003\u8651\u5355\u4e2a\u76ee\u6807\u4f18\u5316\uff0c\u6ca1\u6709\u529e\u6cd5\u76f4\u63a5\u5e94\u7528\u5230\u591a\u76ee\u6807\u7684\u4f18\u5316\u4e0a\u3002<\/p>\n\n\n\n\u8fd1\u51e0\u5e74\u5b66\u672f\u754c\u5c06\u6df1\u5ea6\u5b66\u4e60\u548c\u5f3a\u5316\u5b66\u4e60\u6280\u672f\u5e94\u7528\u5230\u62cd\u5356\u673a\u5236\u9886\u57df\u4e2d\uff0c\u663e\u8457\u5730\u63d0\u5347\u4e86\u4f18\u5316\u6548\u679c\u3002\u4ee5\u54c8\u4f5b\uff0cGoogle Research\u4e3a\u4ee3\u8868\u7684\u5b66\u672f\u754c\u5728\u6df1\u5ea6\u62cd\u5356\u673a\u5236\u505a\u4e86\u5927\u91cf\u7684\u63a2\u7d22\uff0c\u5176\u4e2dRegretNet\u5728\u6df1\u5ea6\u62cd\u5356\u673a\u5236\u91cc\u53d7\u5230\u5e7f\u6cdb\u5173\u6ce8\u3002\u4f46\u662f\u5b66\u672f\u754c\u8bbe\u8ba1\u7684\u62cd\u5356\u673a\u5236\u7406\u8bba\u5047\u8bbe\u5f88\u5f3a\uff0c\u96be\u4ee5\u5e94\u7528\u5230\u5de5\u4e1a\u754c\u3002<\/p>\n\n\n\n\u56e0\u6b64\u6211\u4eec\u5f00\u59cb\u601d\u8003\uff0c\u5982\u4f55\u8bbe\u8ba1\u65b0\u578b\u7684\u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236\uff0c\u5e76\u7ed3\u5408\u5de5\u4e1a\u754c\u6d77\u91cf\u6570\u636e\u7684\u4f18\u52bf\uff0c\u901a\u8fc7\u6df1\u5ea6\u7f51\u7edc\u63d0\u5347\u673a\u5236\u7684\u4f18\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n2. \u95ee\u9898\u5b9a\u4e49\u548c\u6311\u6218<\/h3>\n\n\n\n\u57fa\u4e8e\u4ee5\u4e0a\u80cc\u666f\uff0c\u963f\u91cc\u5988\u5988\u5c55\u793a\u5e7f\u544a\u5b9a\u4e49\u4e86\u591a\u76ee\u6807\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u53ca\u6311\u6218\u3002<\/p>\n\n\n\n\u2460 \u95ee\u9898\u5b9a\u4e49<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5176\u4e2df(b;M)\u51fd\u6570\u662f\u4f18\u5316\u76ee\u6807\uff0c\u6bd4\u5982RPM\u3001CTR\u3001GMV\u3002\u4f18\u5316\u76ee\u6807\u7684\u7ea6\u675f\u6761\u4ef6\u662f\u7ecf\u6d4e\u5b66\u6027\u8d28\uff0c\u6bd4\u5982\u5747\u8861\u535a\u5f08\uff0c\u5373\u5728\u4fdd\u8bc1\u826f\u597d\u7684\u7ecf\u6d4e\u5b66\u6027\u8d28\u4e0b\u4f18\u5316\u591a\u76ee\u6807\u3002<\/p>\n\n\n\n\u2461 \u9762\u4e34\u6311\u6218<\/strong><\/p>\n\n\n\n\u5982\u4f55\u5c06\u7ecf\u6d4e\u5b66\u6027\u8d28\u878d\u5165\u5230\u673a\u5236\u8bbe\u8ba1\u4e2d\uff0c\u5373\u535a\u5f08\u5747\u8861\u662f\u4e00\u4e2a\u7ecf\u6d4e\u5b66\u95ee\u9898\uff0c\u5982\u4f55\u7528\u7b80\u6d01\u7684\u6570\u5b66\u5f62\u5f0f\u8868\u8fbe\uff0c\u5e76\u878d\u5165\u6a21\u578b\u4e2d\u5b66\u4e60\u3002<\/li>\u5982\u4f55\u9762\u5411\u540e\u9a8c\u76ee\u6807\u4f18\u5316\uff0c\u5373\u5f88\u591a\u4f18\u5316\u76ee\u6807\u6307\u6807\u96be\u4ee5\u7cbe\u51c6\u4f30\u8ba1\uff0c\u53ea\u80fd\u901a\u8fc7\u771f\u5b9e\u53cd\u9988\u7684\u65b9\u5f0f\u624d\u80fd\u83b7\u5f97\u3002<\/li>\u5982\u4f55\u7075\u6d3b\u8c03\u63a7\u591a\u76ee\u6807\uff0c\u5373\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u4e0d\u4e00\u6837\uff0c\u5982\u4f55\u8bbe\u8ba1\u66f4\u7075\u6d3b\u7684\u8c03\u63a7\u673a\u5236\uff0c\u6ee1\u8db3\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u3002<\/li><\/ul>\n\n\n\n3. \u6df1\u5ea6\u7f51\u7edc\u8d4b\u80fd\u62cd\u5356\u673a\u5236(Deep GSP)<\/h3>\n\n\n\n\u2460 \u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u667a\u80fd\u62cd\u5356\u673a\u5236Deep GSP<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5b9a\u4e49\u5c55\u793a\u5e7f\u544a\u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u8fb9\u754c\u540e\uff0c\u8c03\u7814\u4e86\u5177\u5907\u7ecf\u6d4e\u6027\u6fc0\u52b1\u517c\u5bb9\u7684Myerson Theorem\u7406\u8bba\uff0c\u8be5\u7406\u8bba\u7684\u5145\u8981\u6761\u4ef6\u6709\u4e24\u4e2a\uff0c\u4e00\u662f\u5355\u8c03\u5206\u914d\uff0c\u5373\u5e7f\u544a\u4e3b\u51fa\u4ef7\u8d8a\u9ad8\uff0c\u83b7\u5f97\u5c55\u793a\u5206\u914d\u7684\u6982\u7387\u8d8a\u5927\uff1b\u4e8c\u662f\u6700\u5c0f\u6263\u8d39\uff0c\u5373\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u6070\u597d\u7ade\u5f97\u5c55\u793a\u6d41\u91cf\u7684\u6700\u5c0f\u6263\u8d39\uff0c\u7b49\u4ef7\u4e8e\u7b2c\u4e8c\u5bb6\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u3002\u540c\u65f6\uff0cMyserson\u7406\u8bba\u80fd\u63a8\u5bfc\u6536\u5165\u6700\u5927\u5316\u7684\u6700\u4f18\u673a\u5236\u3002\u5047\u8bbe\u5e7f\u544a\u4e3bvalue\u7684\u5206\u5e03\u5df2\u77e5\u4e14\u72ec\u7acb\uff0c\u80fd\u63a8\u5bfc\u51fa\u4e00\u79cd\u6700\u4f18\u7684\u5e7f\u544a\u7684\u5206\u914d\u51fd\u6570\uff0c\u6839\u636e\u5206\u914d\u51fd\u6570\u53ca\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u51b3\u5b9a\u6d41\u91cf\u7ed9\u54ea\u4e2a\u5e7f\u544a\u4e3b\u3002<\/p>\n\n\n\n\u57fa\u4e8eMyserson\u542f\u53d1\u53caGSP\u6846\u67b6\uff0c\u8bbe\u8ba1\u4e86\u5177\u6709\u826f\u597d\u7684\u53ef\u89e3\u91ca\u6027\u4e14\u6613\u4e8e\u90e8\u7f72\u7684Deep GSP\u673a\u5236\u3002\u8be5\u673a\u5236\u5b9a\u4e49\u4e86\u5206\u914d\u5f62\u5f0f\uff0c\u5f53\u7ed9\u5b9a\u5e7f\u544a\u4e3b\u7684\u7ade\u4ef7\u961f\u5217\u65f6\uff0c\u5728\u9075\u5faaMyserson\u6fc0\u52b1\u517c\u5bb9\u5145\u8981\u6761\u4ef6\u4e0b\uff0c\u6839\u636e\u5e7f\u544a\u4e3b\u81ea\u8eab\u7684\u7279\u6027\u5b66\u4e60\u6a21\u578b\u7cfb\u6570 \uff0c\u4ece\u800c\u5f71\u54cdrankscore\u51b3\u5b9a\u5206\u914d\u53ca\u6263\u8d39\u3002\u5f53\u6ee1\u8db3\u5bf9\u5355\u8c03\u9012\u51cf\uff0cDeep GSP\u5bf9\u4e8e\u6548\u7528\u6700\u5927\u5316\uff08utility maximizer\uff09\u5355\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\uff0c\u591a\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u7eb3\u4ec0\u5747\u8861\u3002\u540c\u65f6\uff0c\u5bf9\u4e8evalue maximizer\u5e7f\u544a\u4e3b\u4e5f\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\u3002<\/p>\n\n\n\n\u2461 Deep GSP\u5173\u952e\u521b\u65b0\u6280\u672f<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u7b80\u5355\u4ecb\u7ecdDeep GSP\u7684\u5173\u952e\u521b\u65b0\u6280\u672f\uff0c\u5177\u4f53\u7ec6\u8282\u53ef\u4ee5\u53c2\u8003\u8bba\u6587\u3002<\/p>\n\n\n\n\u9996\u5148\uff0c\u5355\u8c03\u6027\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u5355\u8c03\u5206\u914d\u3002bid\u4f5c\u4e3a\u7f51\u7edc\u7279\u5f81\uff0c\u5355\u8c03\u9012\u589e\u4ee3\u8868\u7f51\u7edc\u5bf9\u7279\u5f81\u7684\u68af\u5ea6\u5927\u4e8e0\uff0c\u8bbe\u8ba1\u7f51\u7edc\u65f6\u9700\u8003\u8651\u5355\u8c03\u6027\u90e8\u7f72\u3002<\/p>\n\n\n\n\u5176\u6b21\uff0c\u7ad9\u5728\u5e73\u53f0\u673a\u5236\u89c6\u89d2\uff0c\u9700\u8981\u51b3\u5b9a\u7ed9\u5e7f\u544a\u4e3b\u4ec0\u4e48\u52a8\u4f5c\uff0c\u54ea\u4e2a\u5e7f\u544a\u4e3b\u80dc\u51fa\u3002\u6700\u597d\u7684\u673a\u5236\u662f\u8ba9\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u914d\u5408\u8d77\u6765\uff0c\u8ba9\u6700\u597d\u7684\u5e7f\u544a\u4e3b\u80dc\u51fa\uff0c\u5dee\u7684\u5e7f\u544a\u4e3b\u5931\u8d25\uff0c\u7136\u540e\u8bc4\u4f30\u5bf9\u5e7f\u544a\u4e3b\u52a8\u4f5c\u7684\u597d\u4e0e\u574f\uff0c\u4ee5\u53ca\u5bf9\u6574\u4f53\u6548\u679c\u7684\u5f71\u54cd\u6709\u591a\u5c11\uff0c\u5176\u4e2d\u6d89\u53ca\u5230\u4fe1\u7528\u5206\u914d\u7684\u95ee\u9898\uff0c\u7ed3\u5408\u542f\u53d1\u5f0f\u7b97\u6cd5\u7efc\u5408\u8003\u8651\u6bcf\u4e2a\u5e7f\u544a\u7684\u8d28\u91cf\uff0c\u5bf9\u6574\u4f53\u7684\u5f71\u54cd\u505areward\u3002<\/p>\n\n\n\n\u6700\u540e\uff0c\u9762\u5411\u4e00\u4e2a\u771f\u5b9e\u53cd\u9988\u505a\u6a21\u578b\u7684\u8bad\u7ec3\u3002\u548c\u5176\u4ed6\u5f3a\u5316\u5b66\u4e60\u4e0d\u592a\u4e00\u6837\uff0c\u6ca1\u6709\u4f7f\u7528\u6a21\u62df\u73af\u5883\uff0c\u800c\u662f\u57fa\u4e8e\u771f\u5b9e\u7684\u73af\u5883\u4ea7\u751f\u6570\u636e\uff0c\u7136\u540e\u505a\u95ed\u73af\u7684\u8bad\u7ec3\uff0c\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u4f18\u5316\u6548\u679c\u771f\u5b9e\u6709\u6548\u3002<\/p>\n\n\n\n\u2462 DeepGSP\u4e1a\u52a1\u8d21\u732e\u53ca\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aDeep GSP\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cDeep GSP\u57282020.5-2020.11\u5171\u505a\u4e86\u591a\u6b21\u6280\u672f\u5347\u7ea7\uff0c\u901a\u8fc7\u9762\u5411\u771f\u5b9e\u53cd\u9988\u4f18\u5316\uff0c\u63d0\u5347\u4e86\u5e73\u53f0\u5206\u914d\u6548\u7387\uff0c\u7d2f\u8ba1\u62c9\u52a8\u4fe1\u606f\u6d41\u5e7f\u544a\u5927\u76d8\u4e24\u4f4d\u6570\u589e\u957f\u3002\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0c\u591a\u6b21\u7528\u4e8e\u4e1a\u52a1\u51b3\u7b56\u63d0\u5347CTR\u548cROI\uff0c\u8c03\u63a7\u6548\u679c\u663e\u8457\u9ad8\u4e8euGSP\u7b49\u7b56\u7565\u3002<\/p>\n\n\n\nPaper “Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising” \u88abWSDM’2021\u63a5\u6536\uff0c\u5927\u4f1a\u5bf9\u6587\u7ae0\u4e5f\u505a\u51fa\u4e86\u201c\u5f00\u521b\u6027\u201d\u79f0\u8d5e\u3002<\/p>\n\n\n\n4. \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236(Neural Auction)<\/h3>\n\n\n\n\u2460 \u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u8fdb\u4e00\u6b65\u601d\u8003Neural Auction<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nDeep GSP\u662f\u57fa\u4e8e\u5e7f\u544a\u7c92\u5ea6\u5efa\u6a21\uff0c\u901a\u8fc7\u4fe1\u7528\u5206\u914d\u89e3\u51b3\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u65b9\u5411\u3002\u4f46\u662f\u5b58\u5728\u4e24\u4e2a\u95ee\u9898\uff0c\u7b2c\u4e00\uff0c\u4fe1\u7528\u5206\u914d\u96be\uff0cReward\u8bbe\u8ba1\u975e\u5e38\u4f9d\u8d56\u4e1a\u52a1\u7ecf\u9a8c\uff1b\u7b2c\u4e8c\uff0c\u641c\u7d22\u7a7a\u95f4\u5927\uff0c\u5982\u679c<\u72b6\u6001\uff0c\u52a8\u4f5c>\u63a2\u7d22\u4e0d\u5145\u5206\uff0c\u5f88\u96be\u627e\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n\u4e3a\u7a81\u7834Deep GSP\u7684\u95ee\u9898\uff0c\u7ecf\u8fc7\u591a\u667a\u80fd\u4f53value\u5206\u914d\u6216\u8005\u96c6\u5408\u5efa\u6a21\uff0c\u5c1d\u8bd5\u5c06\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u53c2\u7ade\u653e\u5728\u4e00\u4e2a\u96c6\u5408\u4e2d\u4f18\u5316\uff0c\u5efa\u6a21\u548c\u6548\u679c\u5728\u540c\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u7701\u53bb\u505a\u4fe1\u7528\u5206\u914d\uff0c\u5355\u76ee\u6807\u4f18\u5316\u6709\u6548\uff0c\u4f46\u662f\u591a\u76ee\u6807\u4f18\u5316\u6548\u679c\u4e0d\u660e\u663e\u3002\u5355\u76ee\u6807\u662f\u7aef\u5230\u7aef\u4f18\u5316\uff0c\u53ea\u8981\u5b66\u51favalue\u7684\u5206\u5e03\uff0c\u7136\u540e\u8fdb\u884csoftmax\uff0c\u5c06\u6700\u5927\u7684\u4f5c\u4e3a\u5c55\u793a\u5e7f\u544a\uff0c\u7b2c\u4e8c\u4f5c\u4e3a\u6263\u8d39\u3002\u591a\u76ee\u6807\u4e0b\u9700\u8981\u5bf9\u6240\u6709\u7684\u5e7f\u544a\u5148\u6392\u5e8f\uff0c\u57fa\u4e8e\u6392\u5e8f\u7ed3\u679c\u8fdb\u884c\u5206\u914d\u6263\u8d39\uff0c\u4f46\u662f\u6392\u5e8f\u8fc7\u7a0b\u4e0d\u53ef\u5fae\uff0c\u65e0\u6cd5\u50cf\u76d1\u7763\u5b66\u4e60\u901a\u8fc7\u4f18\u5316\u6548\u679c\uff0c\u901a\u8fc7Loss\u53cd\u5411\u4f20\u9012\u9a71\u52a8\u6a21\u578b\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u63a8\u51faNeural Auction\u62cd\u5356\u673a\u5236\uff0c\u901a\u8fc7\u6700\u540e\u7684\u6548\u679c\u53cd\u5411\u4f20\u5bfc\u7684\u65b9\u5f0f\uff0c\u9a71\u52a8\u6574\u4e2a\u6a21\u578b\u8bad\u7ec3\uff0c\u5b9e\u73b0\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n\u2461 Neural Auction – \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236<\/strong><\/p>\n\n\n\n\u57fa\u4e8e\u53ef\u5fae\u6392\u5e8f\u7b97\u5b50\uff0c\u5b9e\u73b0\u6574\u4e2a\u8fc7\u7a0b\u7684\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n\u96c6\u5408\u7f16\u7801\u5668<\/strong>\uff08Set Encoder\uff09\uff0c\u5b66\u4e60\u6574\u4e2a\u7ade\u4ef7\u961f\u5217\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8f93\u51fa\u4e00\u4e2a\u5b9a\u4e49\u5728\u7ade\u4ef7\u961f\u5217\u4e0a\u7684\u7279\u5f81\uff1b<\/li>\u4e0a\u4e0b\u6587\u8bc4\u5206\u51fd\u6570<\/strong>\uff08Context-Aware Rank Score Function\uff09\uff0c\u4ee5\u5355\u4e2a\u5e7f\u544a\u7684\u7279\u5f81\u548c\u7ade\u4ef7\u961f\u5217\u7279\u5f81\u4f5c\u4e3a\u8f93\u5165\uff0c\u5b66\u4e60\u6bcf\u4e2a\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\uff0c\u5e76\u4fdd\u969c\u5e7f\u544a\u4e3b\u7684 IC\/IR \u6027\u8d28\uff1b<\/li>\u53ef\u5fae\u6392\u5e8f\u5f15\u64ce<\/strong>\uff08Differentiable Sorting Engine\uff09\uff0c\u4ee5\u7ade\u4ef7\u961f\u5217\u6240\u6709\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\u4e3a\u8f93\u5165\uff0c\u4ee5\u53ef\u5fae\u7684\u5f62\u5f0f\u8fdb\u884c\u6392\u5e8f\u64cd\u4f5c\uff0c\u5e76\u8fdb\u4e00\u6b65\u8ba1\u7b97\u5728\u5f53\u524d\u6392\u5e8f\u5206\u72b6\u6001\u4e0b\u7684\u5176\u4ed6\u4f30\u8ba1\u6307\u6807\u3002<\/li><\/ul>\n\n\n\n\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. AIDA\u5e73\u53f0\u5316 – \u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u4e3a\u4e86\u652f\u6491\u4e1a\u52a1\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u63d0\u5347\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u8bbe\u8ba1\u4e86\u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6AIDA\u3002\u5176\u4e2d\u4e24\u4e2a\u521b\u65b0\u7684\u6a21\u5757\u662f\uff1a<\/p>\n\n\n\n\u56fe\u5316\u5728\u7ebf\u670d\u52a1\u5f15\u64ce\uff0c\u4e5f\u79f0\u4e3aAIDA 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04<\/strong><\/p>\n\n\n\n\u667a\u80fd\u62cd\u5356\u673a\u5236\u6f14\u8fdb\u4e4b\u8def<\/strong><\/h2>\n\n\n\n1. \u4e3a\u4ec0\u4e48\u8981\u505a\u667a\u80fd\u62cd\u5356\u673a\u5236<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u5982\u524d\u6240\u8ff0\uff0c\u5927\u5a92\u4f53\u5f62\u5f0f\u7684\u5e7f\u544a\u5e73\u53f0\u9700\u8981\u4f18\u5316\u591a\u76ee\u6807\uff0c\u4f46\u662f\u5e7f\u544a\u5e73\u53f0\u7684\u591a\u76ee\u6807\u4f18\u5316\u4e0d\u7b49\u540c\u4e8e\u7ecf\u5178\u7684\u591a\u76ee\u6807\u4f18\u5316\u95ee\u9898\uff0c\u5728\u5e7f\u544a\u535a\u5f08\u573a\u666f\u4e0b\uff0c\u9700\u8981\u8bbe\u8ba1\u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236\u3002\u800c\u7ecf\u5178\u7684\u62cd\u5356\u673a\u5236\uff0c\u6bd4\u5982Myerson Auction\uff0cGSP\u3001VCG\u7b49\uff0c\u5f80\u5f80\u53ea\u8003\u8651\u5355\u4e2a\u76ee\u6807\u4f18\u5316\uff0c\u6ca1\u6709\u529e\u6cd5\u76f4\u63a5\u5e94\u7528\u5230\u591a\u76ee\u6807\u7684\u4f18\u5316\u4e0a\u3002<\/p>\n\n\n\n\u8fd1\u51e0\u5e74\u5b66\u672f\u754c\u5c06\u6df1\u5ea6\u5b66\u4e60\u548c\u5f3a\u5316\u5b66\u4e60\u6280\u672f\u5e94\u7528\u5230\u62cd\u5356\u673a\u5236\u9886\u57df\u4e2d\uff0c\u663e\u8457\u5730\u63d0\u5347\u4e86\u4f18\u5316\u6548\u679c\u3002\u4ee5\u54c8\u4f5b\uff0cGoogle Research\u4e3a\u4ee3\u8868\u7684\u5b66\u672f\u754c\u5728\u6df1\u5ea6\u62cd\u5356\u673a\u5236\u505a\u4e86\u5927\u91cf\u7684\u63a2\u7d22\uff0c\u5176\u4e2dRegretNet\u5728\u6df1\u5ea6\u62cd\u5356\u673a\u5236\u91cc\u53d7\u5230\u5e7f\u6cdb\u5173\u6ce8\u3002\u4f46\u662f\u5b66\u672f\u754c\u8bbe\u8ba1\u7684\u62cd\u5356\u673a\u5236\u7406\u8bba\u5047\u8bbe\u5f88\u5f3a\uff0c\u96be\u4ee5\u5e94\u7528\u5230\u5de5\u4e1a\u754c\u3002<\/p>\n\n\n\n\u56e0\u6b64\u6211\u4eec\u5f00\u59cb\u601d\u8003\uff0c\u5982\u4f55\u8bbe\u8ba1\u65b0\u578b\u7684\u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236\uff0c\u5e76\u7ed3\u5408\u5de5\u4e1a\u754c\u6d77\u91cf\u6570\u636e\u7684\u4f18\u52bf\uff0c\u901a\u8fc7\u6df1\u5ea6\u7f51\u7edc\u63d0\u5347\u673a\u5236\u7684\u4f18\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n2. \u95ee\u9898\u5b9a\u4e49\u548c\u6311\u6218<\/h3>\n\n\n\n\u57fa\u4e8e\u4ee5\u4e0a\u80cc\u666f\uff0c\u963f\u91cc\u5988\u5988\u5c55\u793a\u5e7f\u544a\u5b9a\u4e49\u4e86\u591a\u76ee\u6807\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u53ca\u6311\u6218\u3002<\/p>\n\n\n\n\u2460 \u95ee\u9898\u5b9a\u4e49<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5176\u4e2df(b;M)\u51fd\u6570\u662f\u4f18\u5316\u76ee\u6807\uff0c\u6bd4\u5982RPM\u3001CTR\u3001GMV\u3002\u4f18\u5316\u76ee\u6807\u7684\u7ea6\u675f\u6761\u4ef6\u662f\u7ecf\u6d4e\u5b66\u6027\u8d28\uff0c\u6bd4\u5982\u5747\u8861\u535a\u5f08\uff0c\u5373\u5728\u4fdd\u8bc1\u826f\u597d\u7684\u7ecf\u6d4e\u5b66\u6027\u8d28\u4e0b\u4f18\u5316\u591a\u76ee\u6807\u3002<\/p>\n\n\n\n\u2461 \u9762\u4e34\u6311\u6218<\/strong><\/p>\n\n\n\n\u5982\u4f55\u5c06\u7ecf\u6d4e\u5b66\u6027\u8d28\u878d\u5165\u5230\u673a\u5236\u8bbe\u8ba1\u4e2d\uff0c\u5373\u535a\u5f08\u5747\u8861\u662f\u4e00\u4e2a\u7ecf\u6d4e\u5b66\u95ee\u9898\uff0c\u5982\u4f55\u7528\u7b80\u6d01\u7684\u6570\u5b66\u5f62\u5f0f\u8868\u8fbe\uff0c\u5e76\u878d\u5165\u6a21\u578b\u4e2d\u5b66\u4e60\u3002<\/li>\u5982\u4f55\u9762\u5411\u540e\u9a8c\u76ee\u6807\u4f18\u5316\uff0c\u5373\u5f88\u591a\u4f18\u5316\u76ee\u6807\u6307\u6807\u96be\u4ee5\u7cbe\u51c6\u4f30\u8ba1\uff0c\u53ea\u80fd\u901a\u8fc7\u771f\u5b9e\u53cd\u9988\u7684\u65b9\u5f0f\u624d\u80fd\u83b7\u5f97\u3002<\/li>\u5982\u4f55\u7075\u6d3b\u8c03\u63a7\u591a\u76ee\u6807\uff0c\u5373\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u4e0d\u4e00\u6837\uff0c\u5982\u4f55\u8bbe\u8ba1\u66f4\u7075\u6d3b\u7684\u8c03\u63a7\u673a\u5236\uff0c\u6ee1\u8db3\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u3002<\/li><\/ul>\n\n\n\n3. \u6df1\u5ea6\u7f51\u7edc\u8d4b\u80fd\u62cd\u5356\u673a\u5236(Deep GSP)<\/h3>\n\n\n\n\u2460 \u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u667a\u80fd\u62cd\u5356\u673a\u5236Deep GSP<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5b9a\u4e49\u5c55\u793a\u5e7f\u544a\u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u8fb9\u754c\u540e\uff0c\u8c03\u7814\u4e86\u5177\u5907\u7ecf\u6d4e\u6027\u6fc0\u52b1\u517c\u5bb9\u7684Myerson Theorem\u7406\u8bba\uff0c\u8be5\u7406\u8bba\u7684\u5145\u8981\u6761\u4ef6\u6709\u4e24\u4e2a\uff0c\u4e00\u662f\u5355\u8c03\u5206\u914d\uff0c\u5373\u5e7f\u544a\u4e3b\u51fa\u4ef7\u8d8a\u9ad8\uff0c\u83b7\u5f97\u5c55\u793a\u5206\u914d\u7684\u6982\u7387\u8d8a\u5927\uff1b\u4e8c\u662f\u6700\u5c0f\u6263\u8d39\uff0c\u5373\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u6070\u597d\u7ade\u5f97\u5c55\u793a\u6d41\u91cf\u7684\u6700\u5c0f\u6263\u8d39\uff0c\u7b49\u4ef7\u4e8e\u7b2c\u4e8c\u5bb6\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u3002\u540c\u65f6\uff0cMyserson\u7406\u8bba\u80fd\u63a8\u5bfc\u6536\u5165\u6700\u5927\u5316\u7684\u6700\u4f18\u673a\u5236\u3002\u5047\u8bbe\u5e7f\u544a\u4e3bvalue\u7684\u5206\u5e03\u5df2\u77e5\u4e14\u72ec\u7acb\uff0c\u80fd\u63a8\u5bfc\u51fa\u4e00\u79cd\u6700\u4f18\u7684\u5e7f\u544a\u7684\u5206\u914d\u51fd\u6570\uff0c\u6839\u636e\u5206\u914d\u51fd\u6570\u53ca\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u51b3\u5b9a\u6d41\u91cf\u7ed9\u54ea\u4e2a\u5e7f\u544a\u4e3b\u3002<\/p>\n\n\n\n\u57fa\u4e8eMyserson\u542f\u53d1\u53caGSP\u6846\u67b6\uff0c\u8bbe\u8ba1\u4e86\u5177\u6709\u826f\u597d\u7684\u53ef\u89e3\u91ca\u6027\u4e14\u6613\u4e8e\u90e8\u7f72\u7684Deep GSP\u673a\u5236\u3002\u8be5\u673a\u5236\u5b9a\u4e49\u4e86\u5206\u914d\u5f62\u5f0f\uff0c\u5f53\u7ed9\u5b9a\u5e7f\u544a\u4e3b\u7684\u7ade\u4ef7\u961f\u5217\u65f6\uff0c\u5728\u9075\u5faaMyserson\u6fc0\u52b1\u517c\u5bb9\u5145\u8981\u6761\u4ef6\u4e0b\uff0c\u6839\u636e\u5e7f\u544a\u4e3b\u81ea\u8eab\u7684\u7279\u6027\u5b66\u4e60\u6a21\u578b\u7cfb\u6570 \uff0c\u4ece\u800c\u5f71\u54cdrankscore\u51b3\u5b9a\u5206\u914d\u53ca\u6263\u8d39\u3002\u5f53\u6ee1\u8db3\u5bf9\u5355\u8c03\u9012\u51cf\uff0cDeep GSP\u5bf9\u4e8e\u6548\u7528\u6700\u5927\u5316\uff08utility maximizer\uff09\u5355\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\uff0c\u591a\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u7eb3\u4ec0\u5747\u8861\u3002\u540c\u65f6\uff0c\u5bf9\u4e8evalue maximizer\u5e7f\u544a\u4e3b\u4e5f\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\u3002<\/p>\n\n\n\n\u2461 Deep GSP\u5173\u952e\u521b\u65b0\u6280\u672f<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u7b80\u5355\u4ecb\u7ecdDeep GSP\u7684\u5173\u952e\u521b\u65b0\u6280\u672f\uff0c\u5177\u4f53\u7ec6\u8282\u53ef\u4ee5\u53c2\u8003\u8bba\u6587\u3002<\/p>\n\n\n\n\u9996\u5148\uff0c\u5355\u8c03\u6027\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u5355\u8c03\u5206\u914d\u3002bid\u4f5c\u4e3a\u7f51\u7edc\u7279\u5f81\uff0c\u5355\u8c03\u9012\u589e\u4ee3\u8868\u7f51\u7edc\u5bf9\u7279\u5f81\u7684\u68af\u5ea6\u5927\u4e8e0\uff0c\u8bbe\u8ba1\u7f51\u7edc\u65f6\u9700\u8003\u8651\u5355\u8c03\u6027\u90e8\u7f72\u3002<\/p>\n\n\n\n\u5176\u6b21\uff0c\u7ad9\u5728\u5e73\u53f0\u673a\u5236\u89c6\u89d2\uff0c\u9700\u8981\u51b3\u5b9a\u7ed9\u5e7f\u544a\u4e3b\u4ec0\u4e48\u52a8\u4f5c\uff0c\u54ea\u4e2a\u5e7f\u544a\u4e3b\u80dc\u51fa\u3002\u6700\u597d\u7684\u673a\u5236\u662f\u8ba9\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u914d\u5408\u8d77\u6765\uff0c\u8ba9\u6700\u597d\u7684\u5e7f\u544a\u4e3b\u80dc\u51fa\uff0c\u5dee\u7684\u5e7f\u544a\u4e3b\u5931\u8d25\uff0c\u7136\u540e\u8bc4\u4f30\u5bf9\u5e7f\u544a\u4e3b\u52a8\u4f5c\u7684\u597d\u4e0e\u574f\uff0c\u4ee5\u53ca\u5bf9\u6574\u4f53\u6548\u679c\u7684\u5f71\u54cd\u6709\u591a\u5c11\uff0c\u5176\u4e2d\u6d89\u53ca\u5230\u4fe1\u7528\u5206\u914d\u7684\u95ee\u9898\uff0c\u7ed3\u5408\u542f\u53d1\u5f0f\u7b97\u6cd5\u7efc\u5408\u8003\u8651\u6bcf\u4e2a\u5e7f\u544a\u7684\u8d28\u91cf\uff0c\u5bf9\u6574\u4f53\u7684\u5f71\u54cd\u505areward\u3002<\/p>\n\n\n\n\u6700\u540e\uff0c\u9762\u5411\u4e00\u4e2a\u771f\u5b9e\u53cd\u9988\u505a\u6a21\u578b\u7684\u8bad\u7ec3\u3002\u548c\u5176\u4ed6\u5f3a\u5316\u5b66\u4e60\u4e0d\u592a\u4e00\u6837\uff0c\u6ca1\u6709\u4f7f\u7528\u6a21\u62df\u73af\u5883\uff0c\u800c\u662f\u57fa\u4e8e\u771f\u5b9e\u7684\u73af\u5883\u4ea7\u751f\u6570\u636e\uff0c\u7136\u540e\u505a\u95ed\u73af\u7684\u8bad\u7ec3\uff0c\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u4f18\u5316\u6548\u679c\u771f\u5b9e\u6709\u6548\u3002<\/p>\n\n\n\n\u2462 DeepGSP\u4e1a\u52a1\u8d21\u732e\u53ca\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aDeep GSP\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cDeep GSP\u57282020.5-2020.11\u5171\u505a\u4e86\u591a\u6b21\u6280\u672f\u5347\u7ea7\uff0c\u901a\u8fc7\u9762\u5411\u771f\u5b9e\u53cd\u9988\u4f18\u5316\uff0c\u63d0\u5347\u4e86\u5e73\u53f0\u5206\u914d\u6548\u7387\uff0c\u7d2f\u8ba1\u62c9\u52a8\u4fe1\u606f\u6d41\u5e7f\u544a\u5927\u76d8\u4e24\u4f4d\u6570\u589e\u957f\u3002\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0c\u591a\u6b21\u7528\u4e8e\u4e1a\u52a1\u51b3\u7b56\u63d0\u5347CTR\u548cROI\uff0c\u8c03\u63a7\u6548\u679c\u663e\u8457\u9ad8\u4e8euGSP\u7b49\u7b56\u7565\u3002<\/p>\n\n\n\nPaper “Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising” \u88abWSDM’2021\u63a5\u6536\uff0c\u5927\u4f1a\u5bf9\u6587\u7ae0\u4e5f\u505a\u51fa\u4e86\u201c\u5f00\u521b\u6027\u201d\u79f0\u8d5e\u3002<\/p>\n\n\n\n4. \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236(Neural Auction)<\/h3>\n\n\n\n\u2460 \u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u8fdb\u4e00\u6b65\u601d\u8003Neural Auction<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nDeep GSP\u662f\u57fa\u4e8e\u5e7f\u544a\u7c92\u5ea6\u5efa\u6a21\uff0c\u901a\u8fc7\u4fe1\u7528\u5206\u914d\u89e3\u51b3\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u65b9\u5411\u3002\u4f46\u662f\u5b58\u5728\u4e24\u4e2a\u95ee\u9898\uff0c\u7b2c\u4e00\uff0c\u4fe1\u7528\u5206\u914d\u96be\uff0cReward\u8bbe\u8ba1\u975e\u5e38\u4f9d\u8d56\u4e1a\u52a1\u7ecf\u9a8c\uff1b\u7b2c\u4e8c\uff0c\u641c\u7d22\u7a7a\u95f4\u5927\uff0c\u5982\u679c<\u72b6\u6001\uff0c\u52a8\u4f5c>\u63a2\u7d22\u4e0d\u5145\u5206\uff0c\u5f88\u96be\u627e\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n\u4e3a\u7a81\u7834Deep GSP\u7684\u95ee\u9898\uff0c\u7ecf\u8fc7\u591a\u667a\u80fd\u4f53value\u5206\u914d\u6216\u8005\u96c6\u5408\u5efa\u6a21\uff0c\u5c1d\u8bd5\u5c06\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u53c2\u7ade\u653e\u5728\u4e00\u4e2a\u96c6\u5408\u4e2d\u4f18\u5316\uff0c\u5efa\u6a21\u548c\u6548\u679c\u5728\u540c\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u7701\u53bb\u505a\u4fe1\u7528\u5206\u914d\uff0c\u5355\u76ee\u6807\u4f18\u5316\u6709\u6548\uff0c\u4f46\u662f\u591a\u76ee\u6807\u4f18\u5316\u6548\u679c\u4e0d\u660e\u663e\u3002\u5355\u76ee\u6807\u662f\u7aef\u5230\u7aef\u4f18\u5316\uff0c\u53ea\u8981\u5b66\u51favalue\u7684\u5206\u5e03\uff0c\u7136\u540e\u8fdb\u884csoftmax\uff0c\u5c06\u6700\u5927\u7684\u4f5c\u4e3a\u5c55\u793a\u5e7f\u544a\uff0c\u7b2c\u4e8c\u4f5c\u4e3a\u6263\u8d39\u3002\u591a\u76ee\u6807\u4e0b\u9700\u8981\u5bf9\u6240\u6709\u7684\u5e7f\u544a\u5148\u6392\u5e8f\uff0c\u57fa\u4e8e\u6392\u5e8f\u7ed3\u679c\u8fdb\u884c\u5206\u914d\u6263\u8d39\uff0c\u4f46\u662f\u6392\u5e8f\u8fc7\u7a0b\u4e0d\u53ef\u5fae\uff0c\u65e0\u6cd5\u50cf\u76d1\u7763\u5b66\u4e60\u901a\u8fc7\u4f18\u5316\u6548\u679c\uff0c\u901a\u8fc7Loss\u53cd\u5411\u4f20\u9012\u9a71\u52a8\u6a21\u578b\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u63a8\u51faNeural Auction\u62cd\u5356\u673a\u5236\uff0c\u901a\u8fc7\u6700\u540e\u7684\u6548\u679c\u53cd\u5411\u4f20\u5bfc\u7684\u65b9\u5f0f\uff0c\u9a71\u52a8\u6574\u4e2a\u6a21\u578b\u8bad\u7ec3\uff0c\u5b9e\u73b0\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n\u2461 Neural Auction – \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236<\/strong><\/p>\n\n\n\n\u57fa\u4e8e\u53ef\u5fae\u6392\u5e8f\u7b97\u5b50\uff0c\u5b9e\u73b0\u6574\u4e2a\u8fc7\u7a0b\u7684\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n\u96c6\u5408\u7f16\u7801\u5668<\/strong>\uff08Set Encoder\uff09\uff0c\u5b66\u4e60\u6574\u4e2a\u7ade\u4ef7\u961f\u5217\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8f93\u51fa\u4e00\u4e2a\u5b9a\u4e49\u5728\u7ade\u4ef7\u961f\u5217\u4e0a\u7684\u7279\u5f81\uff1b<\/li>\u4e0a\u4e0b\u6587\u8bc4\u5206\u51fd\u6570<\/strong>\uff08Context-Aware Rank Score Function\uff09\uff0c\u4ee5\u5355\u4e2a\u5e7f\u544a\u7684\u7279\u5f81\u548c\u7ade\u4ef7\u961f\u5217\u7279\u5f81\u4f5c\u4e3a\u8f93\u5165\uff0c\u5b66\u4e60\u6bcf\u4e2a\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\uff0c\u5e76\u4fdd\u969c\u5e7f\u544a\u4e3b\u7684 IC\/IR \u6027\u8d28\uff1b<\/li>\u53ef\u5fae\u6392\u5e8f\u5f15\u64ce<\/strong>\uff08Differentiable Sorting Engine\uff09\uff0c\u4ee5\u7ade\u4ef7\u961f\u5217\u6240\u6709\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\u4e3a\u8f93\u5165\uff0c\u4ee5\u53ef\u5fae\u7684\u5f62\u5f0f\u8fdb\u884c\u6392\u5e8f\u64cd\u4f5c\uff0c\u5e76\u8fdb\u4e00\u6b65\u8ba1\u7b97\u5728\u5f53\u524d\u6392\u5e8f\u5206\u72b6\u6001\u4e0b\u7684\u5176\u4ed6\u4f30\u8ba1\u6307\u6807\u3002<\/li><\/ul>\n\n\n\n\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. AIDA\u5e73\u53f0\u5316 – \u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u4e3a\u4e86\u652f\u6491\u4e1a\u52a1\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u63d0\u5347\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u8bbe\u8ba1\u4e86\u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6AIDA\u3002\u5176\u4e2d\u4e24\u4e2a\u521b\u65b0\u7684\u6a21\u5757\u662f\uff1a<\/p>\n\n\n\n\u56fe\u5316\u5728\u7ebf\u670d\u52a1\u5f15\u64ce\uff0c\u4e5f\u79f0\u4e3aAIDA 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Theorem\u7406\u8bba\uff0c\u8be5\u7406\u8bba\u7684\u5145\u8981\u6761\u4ef6\u6709\u4e24\u4e2a\uff0c\u4e00\u662f\u5355\u8c03\u5206\u914d\uff0c\u5373\u5e7f\u544a\u4e3b\u51fa\u4ef7\u8d8a\u9ad8\uff0c\u83b7\u5f97\u5c55\u793a\u5206\u914d\u7684\u6982\u7387\u8d8a\u5927\uff1b\u4e8c\u662f\u6700\u5c0f\u6263\u8d39\uff0c\u5373\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u6070\u597d\u7ade\u5f97\u5c55\u793a\u6d41\u91cf\u7684\u6700\u5c0f\u6263\u8d39\uff0c\u7b49\u4ef7\u4e8e\u7b2c\u4e8c\u5bb6\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u3002\u540c\u65f6\uff0cMyserson\u7406\u8bba\u80fd\u63a8\u5bfc\u6536\u5165\u6700\u5927\u5316\u7684\u6700\u4f18\u673a\u5236\u3002\u5047\u8bbe\u5e7f\u544a\u4e3bvalue\u7684\u5206\u5e03\u5df2\u77e5\u4e14\u72ec\u7acb\uff0c\u80fd\u63a8\u5bfc\u51fa\u4e00\u79cd\u6700\u4f18\u7684\u5e7f\u544a\u7684\u5206\u914d\u51fd\u6570\uff0c\u6839\u636e\u5206\u914d\u51fd\u6570\u53ca\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u51b3\u5b9a\u6d41\u91cf\u7ed9\u54ea\u4e2a\u5e7f\u544a\u4e3b\u3002<\/p>\n\n\n\n\u57fa\u4e8eMyserson\u542f\u53d1\u53caGSP\u6846\u67b6\uff0c\u8bbe\u8ba1\u4e86\u5177\u6709\u826f\u597d\u7684\u53ef\u89e3\u91ca\u6027\u4e14\u6613\u4e8e\u90e8\u7f72\u7684Deep GSP\u673a\u5236\u3002\u8be5\u673a\u5236\u5b9a\u4e49\u4e86\u5206\u914d\u5f62\u5f0f\uff0c\u5f53\u7ed9\u5b9a\u5e7f\u544a\u4e3b\u7684\u7ade\u4ef7\u961f\u5217\u65f6\uff0c\u5728\u9075\u5faaMyserson\u6fc0\u52b1\u517c\u5bb9\u5145\u8981\u6761\u4ef6\u4e0b\uff0c\u6839\u636e\u5e7f\u544a\u4e3b\u81ea\u8eab\u7684\u7279\u6027\u5b66\u4e60\u6a21\u578b\u7cfb\u6570 \uff0c\u4ece\u800c\u5f71\u54cdrankscore\u51b3\u5b9a\u5206\u914d\u53ca\u6263\u8d39\u3002\u5f53\u6ee1\u8db3\u5bf9\u5355\u8c03\u9012\u51cf\uff0cDeep GSP\u5bf9\u4e8e\u6548\u7528\u6700\u5927\u5316\uff08utility maximizer\uff09\u5355\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\uff0c\u591a\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u7eb3\u4ec0\u5747\u8861\u3002\u540c\u65f6\uff0c\u5bf9\u4e8evalue maximizer\u5e7f\u544a\u4e3b\u4e5f\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\u3002<\/p>\n\n\n\n\u2461 Deep GSP\u5173\u952e\u521b\u65b0\u6280\u672f<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u7b80\u5355\u4ecb\u7ecdDeep GSP\u7684\u5173\u952e\u521b\u65b0\u6280\u672f\uff0c\u5177\u4f53\u7ec6\u8282\u53ef\u4ee5\u53c2\u8003\u8bba\u6587\u3002<\/p>\n\n\n\n\u9996\u5148\uff0c\u5355\u8c03\u6027\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u5355\u8c03\u5206\u914d\u3002bid\u4f5c\u4e3a\u7f51\u7edc\u7279\u5f81\uff0c\u5355\u8c03\u9012\u589e\u4ee3\u8868\u7f51\u7edc\u5bf9\u7279\u5f81\u7684\u68af\u5ea6\u5927\u4e8e0\uff0c\u8bbe\u8ba1\u7f51\u7edc\u65f6\u9700\u8003\u8651\u5355\u8c03\u6027\u90e8\u7f72\u3002<\/p>\n\n\n\n\u5176\u6b21\uff0c\u7ad9\u5728\u5e73\u53f0\u673a\u5236\u89c6\u89d2\uff0c\u9700\u8981\u51b3\u5b9a\u7ed9\u5e7f\u544a\u4e3b\u4ec0\u4e48\u52a8\u4f5c\uff0c\u54ea\u4e2a\u5e7f\u544a\u4e3b\u80dc\u51fa\u3002\u6700\u597d\u7684\u673a\u5236\u662f\u8ba9\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u914d\u5408\u8d77\u6765\uff0c\u8ba9\u6700\u597d\u7684\u5e7f\u544a\u4e3b\u80dc\u51fa\uff0c\u5dee\u7684\u5e7f\u544a\u4e3b\u5931\u8d25\uff0c\u7136\u540e\u8bc4\u4f30\u5bf9\u5e7f\u544a\u4e3b\u52a8\u4f5c\u7684\u597d\u4e0e\u574f\uff0c\u4ee5\u53ca\u5bf9\u6574\u4f53\u6548\u679c\u7684\u5f71\u54cd\u6709\u591a\u5c11\uff0c\u5176\u4e2d\u6d89\u53ca\u5230\u4fe1\u7528\u5206\u914d\u7684\u95ee\u9898\uff0c\u7ed3\u5408\u542f\u53d1\u5f0f\u7b97\u6cd5\u7efc\u5408\u8003\u8651\u6bcf\u4e2a\u5e7f\u544a\u7684\u8d28\u91cf\uff0c\u5bf9\u6574\u4f53\u7684\u5f71\u54cd\u505areward\u3002<\/p>\n\n\n\n\u6700\u540e\uff0c\u9762\u5411\u4e00\u4e2a\u771f\u5b9e\u53cd\u9988\u505a\u6a21\u578b\u7684\u8bad\u7ec3\u3002\u548c\u5176\u4ed6\u5f3a\u5316\u5b66\u4e60\u4e0d\u592a\u4e00\u6837\uff0c\u6ca1\u6709\u4f7f\u7528\u6a21\u62df\u73af\u5883\uff0c\u800c\u662f\u57fa\u4e8e\u771f\u5b9e\u7684\u73af\u5883\u4ea7\u751f\u6570\u636e\uff0c\u7136\u540e\u505a\u95ed\u73af\u7684\u8bad\u7ec3\uff0c\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u4f18\u5316\u6548\u679c\u771f\u5b9e\u6709\u6548\u3002<\/p>\n\n\n\n\u2462 DeepGSP\u4e1a\u52a1\u8d21\u732e\u53ca\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aDeep GSP\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cDeep GSP\u57282020.5-2020.11\u5171\u505a\u4e86\u591a\u6b21\u6280\u672f\u5347\u7ea7\uff0c\u901a\u8fc7\u9762\u5411\u771f\u5b9e\u53cd\u9988\u4f18\u5316\uff0c\u63d0\u5347\u4e86\u5e73\u53f0\u5206\u914d\u6548\u7387\uff0c\u7d2f\u8ba1\u62c9\u52a8\u4fe1\u606f\u6d41\u5e7f\u544a\u5927\u76d8\u4e24\u4f4d\u6570\u589e\u957f\u3002\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0c\u591a\u6b21\u7528\u4e8e\u4e1a\u52a1\u51b3\u7b56\u63d0\u5347CTR\u548cROI\uff0c\u8c03\u63a7\u6548\u679c\u663e\u8457\u9ad8\u4e8euGSP\u7b49\u7b56\u7565\u3002<\/p>\n\n\n\nPaper “Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising” \u88abWSDM’2021\u63a5\u6536\uff0c\u5927\u4f1a\u5bf9\u6587\u7ae0\u4e5f\u505a\u51fa\u4e86\u201c\u5f00\u521b\u6027\u201d\u79f0\u8d5e\u3002<\/p>\n\n\n\n4. \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236(Neural Auction)<\/h3>\n\n\n\n\u2460 \u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u8fdb\u4e00\u6b65\u601d\u8003Neural Auction<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nDeep GSP\u662f\u57fa\u4e8e\u5e7f\u544a\u7c92\u5ea6\u5efa\u6a21\uff0c\u901a\u8fc7\u4fe1\u7528\u5206\u914d\u89e3\u51b3\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u65b9\u5411\u3002\u4f46\u662f\u5b58\u5728\u4e24\u4e2a\u95ee\u9898\uff0c\u7b2c\u4e00\uff0c\u4fe1\u7528\u5206\u914d\u96be\uff0cReward\u8bbe\u8ba1\u975e\u5e38\u4f9d\u8d56\u4e1a\u52a1\u7ecf\u9a8c\uff1b\u7b2c\u4e8c\uff0c\u641c\u7d22\u7a7a\u95f4\u5927\uff0c\u5982\u679c<\u72b6\u6001\uff0c\u52a8\u4f5c>\u63a2\u7d22\u4e0d\u5145\u5206\uff0c\u5f88\u96be\u627e\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n\u4e3a\u7a81\u7834Deep GSP\u7684\u95ee\u9898\uff0c\u7ecf\u8fc7\u591a\u667a\u80fd\u4f53value\u5206\u914d\u6216\u8005\u96c6\u5408\u5efa\u6a21\uff0c\u5c1d\u8bd5\u5c06\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u53c2\u7ade\u653e\u5728\u4e00\u4e2a\u96c6\u5408\u4e2d\u4f18\u5316\uff0c\u5efa\u6a21\u548c\u6548\u679c\u5728\u540c\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u7701\u53bb\u505a\u4fe1\u7528\u5206\u914d\uff0c\u5355\u76ee\u6807\u4f18\u5316\u6709\u6548\uff0c\u4f46\u662f\u591a\u76ee\u6807\u4f18\u5316\u6548\u679c\u4e0d\u660e\u663e\u3002\u5355\u76ee\u6807\u662f\u7aef\u5230\u7aef\u4f18\u5316\uff0c\u53ea\u8981\u5b66\u51favalue\u7684\u5206\u5e03\uff0c\u7136\u540e\u8fdb\u884csoftmax\uff0c\u5c06\u6700\u5927\u7684\u4f5c\u4e3a\u5c55\u793a\u5e7f\u544a\uff0c\u7b2c\u4e8c\u4f5c\u4e3a\u6263\u8d39\u3002\u591a\u76ee\u6807\u4e0b\u9700\u8981\u5bf9\u6240\u6709\u7684\u5e7f\u544a\u5148\u6392\u5e8f\uff0c\u57fa\u4e8e\u6392\u5e8f\u7ed3\u679c\u8fdb\u884c\u5206\u914d\u6263\u8d39\uff0c\u4f46\u662f\u6392\u5e8f\u8fc7\u7a0b\u4e0d\u53ef\u5fae\uff0c\u65e0\u6cd5\u50cf\u76d1\u7763\u5b66\u4e60\u901a\u8fc7\u4f18\u5316\u6548\u679c\uff0c\u901a\u8fc7Loss\u53cd\u5411\u4f20\u9012\u9a71\u52a8\u6a21\u578b\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u63a8\u51faNeural Auction\u62cd\u5356\u673a\u5236\uff0c\u901a\u8fc7\u6700\u540e\u7684\u6548\u679c\u53cd\u5411\u4f20\u5bfc\u7684\u65b9\u5f0f\uff0c\u9a71\u52a8\u6574\u4e2a\u6a21\u578b\u8bad\u7ec3\uff0c\u5b9e\u73b0\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n\u2461 Neural Auction – \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236<\/strong><\/p>\n\n\n\n\u57fa\u4e8e\u53ef\u5fae\u6392\u5e8f\u7b97\u5b50\uff0c\u5b9e\u73b0\u6574\u4e2a\u8fc7\u7a0b\u7684\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n\u96c6\u5408\u7f16\u7801\u5668<\/strong>\uff08Set Encoder\uff09\uff0c\u5b66\u4e60\u6574\u4e2a\u7ade\u4ef7\u961f\u5217\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8f93\u51fa\u4e00\u4e2a\u5b9a\u4e49\u5728\u7ade\u4ef7\u961f\u5217\u4e0a\u7684\u7279\u5f81\uff1b<\/li>\u4e0a\u4e0b\u6587\u8bc4\u5206\u51fd\u6570<\/strong>\uff08Context-Aware Rank Score Function\uff09\uff0c\u4ee5\u5355\u4e2a\u5e7f\u544a\u7684\u7279\u5f81\u548c\u7ade\u4ef7\u961f\u5217\u7279\u5f81\u4f5c\u4e3a\u8f93\u5165\uff0c\u5b66\u4e60\u6bcf\u4e2a\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\uff0c\u5e76\u4fdd\u969c\u5e7f\u544a\u4e3b\u7684 IC\/IR \u6027\u8d28\uff1b<\/li>\u53ef\u5fae\u6392\u5e8f\u5f15\u64ce<\/strong>\uff08Differentiable Sorting Engine\uff09\uff0c\u4ee5\u7ade\u4ef7\u961f\u5217\u6240\u6709\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\u4e3a\u8f93\u5165\uff0c\u4ee5\u53ef\u5fae\u7684\u5f62\u5f0f\u8fdb\u884c\u6392\u5e8f\u64cd\u4f5c\uff0c\u5e76\u8fdb\u4e00\u6b65\u8ba1\u7b97\u5728\u5f53\u524d\u6392\u5e8f\u5206\u72b6\u6001\u4e0b\u7684\u5176\u4ed6\u4f30\u8ba1\u6307\u6807\u3002<\/li><\/ul>\n\n\n\n\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. AIDA\u5e73\u53f0\u5316 – \u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u4e3a\u4e86\u652f\u6491\u4e1a\u52a1\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u63d0\u5347\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u8bbe\u8ba1\u4e86\u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6AIDA\u3002\u5176\u4e2d\u4e24\u4e2a\u521b\u65b0\u7684\u6a21\u5757\u662f\uff1a<\/p>\n\n\n\n\u56fe\u5316\u5728\u7ebf\u670d\u52a1\u5f15\u64ce\uff0c\u4e5f\u79f0\u4e3aAIDA 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\u2461 \u9762\u4e34\u6311\u6218<\/strong><\/p>\n\n\n\n\u5982\u4f55\u5c06\u7ecf\u6d4e\u5b66\u6027\u8d28\u878d\u5165\u5230\u673a\u5236\u8bbe\u8ba1\u4e2d\uff0c\u5373\u535a\u5f08\u5747\u8861\u662f\u4e00\u4e2a\u7ecf\u6d4e\u5b66\u95ee\u9898\uff0c\u5982\u4f55\u7528\u7b80\u6d01\u7684\u6570\u5b66\u5f62\u5f0f\u8868\u8fbe\uff0c\u5e76\u878d\u5165\u6a21\u578b\u4e2d\u5b66\u4e60\u3002<\/li>\u5982\u4f55\u9762\u5411\u540e\u9a8c\u76ee\u6807\u4f18\u5316\uff0c\u5373\u5f88\u591a\u4f18\u5316\u76ee\u6807\u6307\u6807\u96be\u4ee5\u7cbe\u51c6\u4f30\u8ba1\uff0c\u53ea\u80fd\u901a\u8fc7\u771f\u5b9e\u53cd\u9988\u7684\u65b9\u5f0f\u624d\u80fd\u83b7\u5f97\u3002<\/li>\u5982\u4f55\u7075\u6d3b\u8c03\u63a7\u591a\u76ee\u6807\uff0c\u5373\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u4e0d\u4e00\u6837\uff0c\u5982\u4f55\u8bbe\u8ba1\u66f4\u7075\u6d3b\u7684\u8c03\u63a7\u673a\u5236\uff0c\u6ee1\u8db3\u4e0d\u540c\u9636\u6bb5\u4f18\u5316\u76ee\u6807\u3002<\/li><\/ul>\n\n\n\n3. \u6df1\u5ea6\u7f51\u7edc\u8d4b\u80fd\u62cd\u5356\u673a\u5236(Deep GSP)<\/h3>\n\n\n\n\u2460 \u9762\u5411\u591a\u76ee\u6807\u4f18\u5316\u7684\u667a\u80fd\u62cd\u5356\u673a\u5236Deep GSP<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5b9a\u4e49\u5c55\u793a\u5e7f\u544a\u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u8fb9\u754c\u540e\uff0c\u8c03\u7814\u4e86\u5177\u5907\u7ecf\u6d4e\u6027\u6fc0\u52b1\u517c\u5bb9\u7684Myerson Theorem\u7406\u8bba\uff0c\u8be5\u7406\u8bba\u7684\u5145\u8981\u6761\u4ef6\u6709\u4e24\u4e2a\uff0c\u4e00\u662f\u5355\u8c03\u5206\u914d\uff0c\u5373\u5e7f\u544a\u4e3b\u51fa\u4ef7\u8d8a\u9ad8\uff0c\u83b7\u5f97\u5c55\u793a\u5206\u914d\u7684\u6982\u7387\u8d8a\u5927\uff1b\u4e8c\u662f\u6700\u5c0f\u6263\u8d39\uff0c\u5373\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u6070\u597d\u7ade\u5f97\u5c55\u793a\u6d41\u91cf\u7684\u6700\u5c0f\u6263\u8d39\uff0c\u7b49\u4ef7\u4e8e\u7b2c\u4e8c\u5bb6\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u3002\u540c\u65f6\uff0cMyserson\u7406\u8bba\u80fd\u63a8\u5bfc\u6536\u5165\u6700\u5927\u5316\u7684\u6700\u4f18\u673a\u5236\u3002\u5047\u8bbe\u5e7f\u544a\u4e3bvalue\u7684\u5206\u5e03\u5df2\u77e5\u4e14\u72ec\u7acb\uff0c\u80fd\u63a8\u5bfc\u51fa\u4e00\u79cd\u6700\u4f18\u7684\u5e7f\u544a\u7684\u5206\u914d\u51fd\u6570\uff0c\u6839\u636e\u5206\u914d\u51fd\u6570\u53ca\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u51b3\u5b9a\u6d41\u91cf\u7ed9\u54ea\u4e2a\u5e7f\u544a\u4e3b\u3002<\/p>\n\n\n\n\u57fa\u4e8eMyserson\u542f\u53d1\u53caGSP\u6846\u67b6\uff0c\u8bbe\u8ba1\u4e86\u5177\u6709\u826f\u597d\u7684\u53ef\u89e3\u91ca\u6027\u4e14\u6613\u4e8e\u90e8\u7f72\u7684Deep GSP\u673a\u5236\u3002\u8be5\u673a\u5236\u5b9a\u4e49\u4e86\u5206\u914d\u5f62\u5f0f\uff0c\u5f53\u7ed9\u5b9a\u5e7f\u544a\u4e3b\u7684\u7ade\u4ef7\u961f\u5217\u65f6\uff0c\u5728\u9075\u5faaMyserson\u6fc0\u52b1\u517c\u5bb9\u5145\u8981\u6761\u4ef6\u4e0b\uff0c\u6839\u636e\u5e7f\u544a\u4e3b\u81ea\u8eab\u7684\u7279\u6027\u5b66\u4e60\u6a21\u578b\u7cfb\u6570 \uff0c\u4ece\u800c\u5f71\u54cdrankscore\u51b3\u5b9a\u5206\u914d\u53ca\u6263\u8d39\u3002\u5f53\u6ee1\u8db3\u5bf9\u5355\u8c03\u9012\u51cf\uff0cDeep GSP\u5bf9\u4e8e\u6548\u7528\u6700\u5927\u5316\uff08utility maximizer\uff09\u5355\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\uff0c\u591a\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u7eb3\u4ec0\u5747\u8861\u3002\u540c\u65f6\uff0c\u5bf9\u4e8evalue maximizer\u5e7f\u544a\u4e3b\u4e5f\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\u3002<\/p>\n\n\n\n\u2461 Deep GSP\u5173\u952e\u521b\u65b0\u6280\u672f<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u7b80\u5355\u4ecb\u7ecdDeep GSP\u7684\u5173\u952e\u521b\u65b0\u6280\u672f\uff0c\u5177\u4f53\u7ec6\u8282\u53ef\u4ee5\u53c2\u8003\u8bba\u6587\u3002<\/p>\n\n\n\n\u9996\u5148\uff0c\u5355\u8c03\u6027\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u5355\u8c03\u5206\u914d\u3002bid\u4f5c\u4e3a\u7f51\u7edc\u7279\u5f81\uff0c\u5355\u8c03\u9012\u589e\u4ee3\u8868\u7f51\u7edc\u5bf9\u7279\u5f81\u7684\u68af\u5ea6\u5927\u4e8e0\uff0c\u8bbe\u8ba1\u7f51\u7edc\u65f6\u9700\u8003\u8651\u5355\u8c03\u6027\u90e8\u7f72\u3002<\/p>\n\n\n\n\u5176\u6b21\uff0c\u7ad9\u5728\u5e73\u53f0\u673a\u5236\u89c6\u89d2\uff0c\u9700\u8981\u51b3\u5b9a\u7ed9\u5e7f\u544a\u4e3b\u4ec0\u4e48\u52a8\u4f5c\uff0c\u54ea\u4e2a\u5e7f\u544a\u4e3b\u80dc\u51fa\u3002\u6700\u597d\u7684\u673a\u5236\u662f\u8ba9\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u914d\u5408\u8d77\u6765\uff0c\u8ba9\u6700\u597d\u7684\u5e7f\u544a\u4e3b\u80dc\u51fa\uff0c\u5dee\u7684\u5e7f\u544a\u4e3b\u5931\u8d25\uff0c\u7136\u540e\u8bc4\u4f30\u5bf9\u5e7f\u544a\u4e3b\u52a8\u4f5c\u7684\u597d\u4e0e\u574f\uff0c\u4ee5\u53ca\u5bf9\u6574\u4f53\u6548\u679c\u7684\u5f71\u54cd\u6709\u591a\u5c11\uff0c\u5176\u4e2d\u6d89\u53ca\u5230\u4fe1\u7528\u5206\u914d\u7684\u95ee\u9898\uff0c\u7ed3\u5408\u542f\u53d1\u5f0f\u7b97\u6cd5\u7efc\u5408\u8003\u8651\u6bcf\u4e2a\u5e7f\u544a\u7684\u8d28\u91cf\uff0c\u5bf9\u6574\u4f53\u7684\u5f71\u54cd\u505areward\u3002<\/p>\n\n\n\n\u6700\u540e\uff0c\u9762\u5411\u4e00\u4e2a\u771f\u5b9e\u53cd\u9988\u505a\u6a21\u578b\u7684\u8bad\u7ec3\u3002\u548c\u5176\u4ed6\u5f3a\u5316\u5b66\u4e60\u4e0d\u592a\u4e00\u6837\uff0c\u6ca1\u6709\u4f7f\u7528\u6a21\u62df\u73af\u5883\uff0c\u800c\u662f\u57fa\u4e8e\u771f\u5b9e\u7684\u73af\u5883\u4ea7\u751f\u6570\u636e\uff0c\u7136\u540e\u505a\u95ed\u73af\u7684\u8bad\u7ec3\uff0c\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u4f18\u5316\u6548\u679c\u771f\u5b9e\u6709\u6548\u3002<\/p>\n\n\n\n\u2462 DeepGSP\u4e1a\u52a1\u8d21\u732e\u53ca\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aDeep GSP\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cDeep GSP\u57282020.5-2020.11\u5171\u505a\u4e86\u591a\u6b21\u6280\u672f\u5347\u7ea7\uff0c\u901a\u8fc7\u9762\u5411\u771f\u5b9e\u53cd\u9988\u4f18\u5316\uff0c\u63d0\u5347\u4e86\u5e73\u53f0\u5206\u914d\u6548\u7387\uff0c\u7d2f\u8ba1\u62c9\u52a8\u4fe1\u606f\u6d41\u5e7f\u544a\u5927\u76d8\u4e24\u4f4d\u6570\u589e\u957f\u3002\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0c\u591a\u6b21\u7528\u4e8e\u4e1a\u52a1\u51b3\u7b56\u63d0\u5347CTR\u548cROI\uff0c\u8c03\u63a7\u6548\u679c\u663e\u8457\u9ad8\u4e8euGSP\u7b49\u7b56\u7565\u3002<\/p>\n\n\n\nPaper “Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising” \u88abWSDM’2021\u63a5\u6536\uff0c\u5927\u4f1a\u5bf9\u6587\u7ae0\u4e5f\u505a\u51fa\u4e86\u201c\u5f00\u521b\u6027\u201d\u79f0\u8d5e\u3002<\/p>\n\n\n\n4. \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236(Neural Auction)<\/h3>\n\n\n\n\u2460 \u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u8fdb\u4e00\u6b65\u601d\u8003Neural Auction<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nDeep GSP\u662f\u57fa\u4e8e\u5e7f\u544a\u7c92\u5ea6\u5efa\u6a21\uff0c\u901a\u8fc7\u4fe1\u7528\u5206\u914d\u89e3\u51b3\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u65b9\u5411\u3002\u4f46\u662f\u5b58\u5728\u4e24\u4e2a\u95ee\u9898\uff0c\u7b2c\u4e00\uff0c\u4fe1\u7528\u5206\u914d\u96be\uff0cReward\u8bbe\u8ba1\u975e\u5e38\u4f9d\u8d56\u4e1a\u52a1\u7ecf\u9a8c\uff1b\u7b2c\u4e8c\uff0c\u641c\u7d22\u7a7a\u95f4\u5927\uff0c\u5982\u679c<\u72b6\u6001\uff0c\u52a8\u4f5c>\u63a2\u7d22\u4e0d\u5145\u5206\uff0c\u5f88\u96be\u627e\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n\u4e3a\u7a81\u7834Deep GSP\u7684\u95ee\u9898\uff0c\u7ecf\u8fc7\u591a\u667a\u80fd\u4f53value\u5206\u914d\u6216\u8005\u96c6\u5408\u5efa\u6a21\uff0c\u5c1d\u8bd5\u5c06\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u53c2\u7ade\u653e\u5728\u4e00\u4e2a\u96c6\u5408\u4e2d\u4f18\u5316\uff0c\u5efa\u6a21\u548c\u6548\u679c\u5728\u540c\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u7701\u53bb\u505a\u4fe1\u7528\u5206\u914d\uff0c\u5355\u76ee\u6807\u4f18\u5316\u6709\u6548\uff0c\u4f46\u662f\u591a\u76ee\u6807\u4f18\u5316\u6548\u679c\u4e0d\u660e\u663e\u3002\u5355\u76ee\u6807\u662f\u7aef\u5230\u7aef\u4f18\u5316\uff0c\u53ea\u8981\u5b66\u51favalue\u7684\u5206\u5e03\uff0c\u7136\u540e\u8fdb\u884csoftmax\uff0c\u5c06\u6700\u5927\u7684\u4f5c\u4e3a\u5c55\u793a\u5e7f\u544a\uff0c\u7b2c\u4e8c\u4f5c\u4e3a\u6263\u8d39\u3002\u591a\u76ee\u6807\u4e0b\u9700\u8981\u5bf9\u6240\u6709\u7684\u5e7f\u544a\u5148\u6392\u5e8f\uff0c\u57fa\u4e8e\u6392\u5e8f\u7ed3\u679c\u8fdb\u884c\u5206\u914d\u6263\u8d39\uff0c\u4f46\u662f\u6392\u5e8f\u8fc7\u7a0b\u4e0d\u53ef\u5fae\uff0c\u65e0\u6cd5\u50cf\u76d1\u7763\u5b66\u4e60\u901a\u8fc7\u4f18\u5316\u6548\u679c\uff0c\u901a\u8fc7Loss\u53cd\u5411\u4f20\u9012\u9a71\u52a8\u6a21\u578b\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u63a8\u51faNeural Auction\u62cd\u5356\u673a\u5236\uff0c\u901a\u8fc7\u6700\u540e\u7684\u6548\u679c\u53cd\u5411\u4f20\u5bfc\u7684\u65b9\u5f0f\uff0c\u9a71\u52a8\u6574\u4e2a\u6a21\u578b\u8bad\u7ec3\uff0c\u5b9e\u73b0\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n\u2461 Neural Auction – \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236<\/strong><\/p>\n\n\n\n\u57fa\u4e8e\u53ef\u5fae\u6392\u5e8f\u7b97\u5b50\uff0c\u5b9e\u73b0\u6574\u4e2a\u8fc7\u7a0b\u7684\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n\u96c6\u5408\u7f16\u7801\u5668<\/strong>\uff08Set Encoder\uff09\uff0c\u5b66\u4e60\u6574\u4e2a\u7ade\u4ef7\u961f\u5217\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8f93\u51fa\u4e00\u4e2a\u5b9a\u4e49\u5728\u7ade\u4ef7\u961f\u5217\u4e0a\u7684\u7279\u5f81\uff1b<\/li>\u4e0a\u4e0b\u6587\u8bc4\u5206\u51fd\u6570<\/strong>\uff08Context-Aware Rank Score Function\uff09\uff0c\u4ee5\u5355\u4e2a\u5e7f\u544a\u7684\u7279\u5f81\u548c\u7ade\u4ef7\u961f\u5217\u7279\u5f81\u4f5c\u4e3a\u8f93\u5165\uff0c\u5b66\u4e60\u6bcf\u4e2a\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\uff0c\u5e76\u4fdd\u969c\u5e7f\u544a\u4e3b\u7684 IC\/IR \u6027\u8d28\uff1b<\/li>\u53ef\u5fae\u6392\u5e8f\u5f15\u64ce<\/strong>\uff08Differentiable Sorting Engine\uff09\uff0c\u4ee5\u7ade\u4ef7\u961f\u5217\u6240\u6709\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\u4e3a\u8f93\u5165\uff0c\u4ee5\u53ef\u5fae\u7684\u5f62\u5f0f\u8fdb\u884c\u6392\u5e8f\u64cd\u4f5c\uff0c\u5e76\u8fdb\u4e00\u6b65\u8ba1\u7b97\u5728\u5f53\u524d\u6392\u5e8f\u5206\u72b6\u6001\u4e0b\u7684\u5176\u4ed6\u4f30\u8ba1\u6307\u6807\u3002<\/li><\/ul>\n\n\n\n\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. AIDA\u5e73\u53f0\u5316 – \u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u4e3a\u4e86\u652f\u6491\u4e1a\u52a1\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u63d0\u5347\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u8bbe\u8ba1\u4e86\u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6AIDA\u3002\u5176\u4e2d\u4e24\u4e2a\u521b\u65b0\u7684\u6a21\u5757\u662f\uff1a<\/p>\n\n\n\n\u56fe\u5316\u5728\u7ebf\u670d\u52a1\u5f15\u64ce\uff0c\u4e5f\u79f0\u4e3aAIDA 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GSP\u673a\u5236\u3002\u8be5\u673a\u5236\u5b9a\u4e49\u4e86\u5206\u914d\u5f62\u5f0f\uff0c\u5f53\u7ed9\u5b9a\u5e7f\u544a\u4e3b\u7684\u7ade\u4ef7\u961f\u5217\u65f6\uff0c\u5728\u9075\u5faaMyserson\u6fc0\u52b1\u517c\u5bb9\u5145\u8981\u6761\u4ef6\u4e0b\uff0c\u6839\u636e\u5e7f\u544a\u4e3b\u81ea\u8eab\u7684\u7279\u6027\u5b66\u4e60\u6a21\u578b\u7cfb\u6570 \uff0c\u4ece\u800c\u5f71\u54cdrankscore\u51b3\u5b9a\u5206\u914d\u53ca\u6263\u8d39\u3002\u5f53\u6ee1\u8db3\u5bf9\u5355\u8c03\u9012\u51cf\uff0cDeep GSP\u5bf9\u4e8e\u6548\u7528\u6700\u5927\u5316\uff08utility maximizer\uff09\u5355\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\uff0c\u591a\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u7eb3\u4ec0\u5747\u8861\u3002\u540c\u65f6\uff0c\u5bf9\u4e8evalue maximizer\u5e7f\u544a\u4e3b\u4e5f\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\u3002<\/p>\n\n\n\n\u2461 Deep GSP\u5173\u952e\u521b\u65b0\u6280\u672f<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u7b80\u5355\u4ecb\u7ecdDeep GSP\u7684\u5173\u952e\u521b\u65b0\u6280\u672f\uff0c\u5177\u4f53\u7ec6\u8282\u53ef\u4ee5\u53c2\u8003\u8bba\u6587\u3002<\/p>\n\n\n\n\u9996\u5148\uff0c\u5355\u8c03\u6027\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u5355\u8c03\u5206\u914d\u3002bid\u4f5c\u4e3a\u7f51\u7edc\u7279\u5f81\uff0c\u5355\u8c03\u9012\u589e\u4ee3\u8868\u7f51\u7edc\u5bf9\u7279\u5f81\u7684\u68af\u5ea6\u5927\u4e8e0\uff0c\u8bbe\u8ba1\u7f51\u7edc\u65f6\u9700\u8003\u8651\u5355\u8c03\u6027\u90e8\u7f72\u3002<\/p>\n\n\n\n\u5176\u6b21\uff0c\u7ad9\u5728\u5e73\u53f0\u673a\u5236\u89c6\u89d2\uff0c\u9700\u8981\u51b3\u5b9a\u7ed9\u5e7f\u544a\u4e3b\u4ec0\u4e48\u52a8\u4f5c\uff0c\u54ea\u4e2a\u5e7f\u544a\u4e3b\u80dc\u51fa\u3002\u6700\u597d\u7684\u673a\u5236\u662f\u8ba9\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u914d\u5408\u8d77\u6765\uff0c\u8ba9\u6700\u597d\u7684\u5e7f\u544a\u4e3b\u80dc\u51fa\uff0c\u5dee\u7684\u5e7f\u544a\u4e3b\u5931\u8d25\uff0c\u7136\u540e\u8bc4\u4f30\u5bf9\u5e7f\u544a\u4e3b\u52a8\u4f5c\u7684\u597d\u4e0e\u574f\uff0c\u4ee5\u53ca\u5bf9\u6574\u4f53\u6548\u679c\u7684\u5f71\u54cd\u6709\u591a\u5c11\uff0c\u5176\u4e2d\u6d89\u53ca\u5230\u4fe1\u7528\u5206\u914d\u7684\u95ee\u9898\uff0c\u7ed3\u5408\u542f\u53d1\u5f0f\u7b97\u6cd5\u7efc\u5408\u8003\u8651\u6bcf\u4e2a\u5e7f\u544a\u7684\u8d28\u91cf\uff0c\u5bf9\u6574\u4f53\u7684\u5f71\u54cd\u505areward\u3002<\/p>\n\n\n\n\u6700\u540e\uff0c\u9762\u5411\u4e00\u4e2a\u771f\u5b9e\u53cd\u9988\u505a\u6a21\u578b\u7684\u8bad\u7ec3\u3002\u548c\u5176\u4ed6\u5f3a\u5316\u5b66\u4e60\u4e0d\u592a\u4e00\u6837\uff0c\u6ca1\u6709\u4f7f\u7528\u6a21\u62df\u73af\u5883\uff0c\u800c\u662f\u57fa\u4e8e\u771f\u5b9e\u7684\u73af\u5883\u4ea7\u751f\u6570\u636e\uff0c\u7136\u540e\u505a\u95ed\u73af\u7684\u8bad\u7ec3\uff0c\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u4f18\u5316\u6548\u679c\u771f\u5b9e\u6709\u6548\u3002<\/p>\n\n\n\n\u2462 DeepGSP\u4e1a\u52a1\u8d21\u732e\u53ca\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aDeep GSP\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cDeep GSP\u57282020.5-2020.11\u5171\u505a\u4e86\u591a\u6b21\u6280\u672f\u5347\u7ea7\uff0c\u901a\u8fc7\u9762\u5411\u771f\u5b9e\u53cd\u9988\u4f18\u5316\uff0c\u63d0\u5347\u4e86\u5e73\u53f0\u5206\u914d\u6548\u7387\uff0c\u7d2f\u8ba1\u62c9\u52a8\u4fe1\u606f\u6d41\u5e7f\u544a\u5927\u76d8\u4e24\u4f4d\u6570\u589e\u957f\u3002\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0c\u591a\u6b21\u7528\u4e8e\u4e1a\u52a1\u51b3\u7b56\u63d0\u5347CTR\u548cROI\uff0c\u8c03\u63a7\u6548\u679c\u663e\u8457\u9ad8\u4e8euGSP\u7b49\u7b56\u7565\u3002<\/p>\n\n\n\nPaper “Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising” \u88abWSDM’2021\u63a5\u6536\uff0c\u5927\u4f1a\u5bf9\u6587\u7ae0\u4e5f\u505a\u51fa\u4e86\u201c\u5f00\u521b\u6027\u201d\u79f0\u8d5e\u3002<\/p>\n\n\n\n4. \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236(Neural Auction)<\/h3>\n\n\n\n\u2460 \u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u8fdb\u4e00\u6b65\u601d\u8003Neural Auction<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nDeep GSP\u662f\u57fa\u4e8e\u5e7f\u544a\u7c92\u5ea6\u5efa\u6a21\uff0c\u901a\u8fc7\u4fe1\u7528\u5206\u914d\u89e3\u51b3\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u65b9\u5411\u3002\u4f46\u662f\u5b58\u5728\u4e24\u4e2a\u95ee\u9898\uff0c\u7b2c\u4e00\uff0c\u4fe1\u7528\u5206\u914d\u96be\uff0cReward\u8bbe\u8ba1\u975e\u5e38\u4f9d\u8d56\u4e1a\u52a1\u7ecf\u9a8c\uff1b\u7b2c\u4e8c\uff0c\u641c\u7d22\u7a7a\u95f4\u5927\uff0c\u5982\u679c<\u72b6\u6001\uff0c\u52a8\u4f5c>\u63a2\u7d22\u4e0d\u5145\u5206\uff0c\u5f88\u96be\u627e\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n\u4e3a\u7a81\u7834Deep GSP\u7684\u95ee\u9898\uff0c\u7ecf\u8fc7\u591a\u667a\u80fd\u4f53value\u5206\u914d\u6216\u8005\u96c6\u5408\u5efa\u6a21\uff0c\u5c1d\u8bd5\u5c06\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u53c2\u7ade\u653e\u5728\u4e00\u4e2a\u96c6\u5408\u4e2d\u4f18\u5316\uff0c\u5efa\u6a21\u548c\u6548\u679c\u5728\u540c\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u7701\u53bb\u505a\u4fe1\u7528\u5206\u914d\uff0c\u5355\u76ee\u6807\u4f18\u5316\u6709\u6548\uff0c\u4f46\u662f\u591a\u76ee\u6807\u4f18\u5316\u6548\u679c\u4e0d\u660e\u663e\u3002\u5355\u76ee\u6807\u662f\u7aef\u5230\u7aef\u4f18\u5316\uff0c\u53ea\u8981\u5b66\u51favalue\u7684\u5206\u5e03\uff0c\u7136\u540e\u8fdb\u884csoftmax\uff0c\u5c06\u6700\u5927\u7684\u4f5c\u4e3a\u5c55\u793a\u5e7f\u544a\uff0c\u7b2c\u4e8c\u4f5c\u4e3a\u6263\u8d39\u3002\u591a\u76ee\u6807\u4e0b\u9700\u8981\u5bf9\u6240\u6709\u7684\u5e7f\u544a\u5148\u6392\u5e8f\uff0c\u57fa\u4e8e\u6392\u5e8f\u7ed3\u679c\u8fdb\u884c\u5206\u914d\u6263\u8d39\uff0c\u4f46\u662f\u6392\u5e8f\u8fc7\u7a0b\u4e0d\u53ef\u5fae\uff0c\u65e0\u6cd5\u50cf\u76d1\u7763\u5b66\u4e60\u901a\u8fc7\u4f18\u5316\u6548\u679c\uff0c\u901a\u8fc7Loss\u53cd\u5411\u4f20\u9012\u9a71\u52a8\u6a21\u578b\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u63a8\u51faNeural Auction\u62cd\u5356\u673a\u5236\uff0c\u901a\u8fc7\u6700\u540e\u7684\u6548\u679c\u53cd\u5411\u4f20\u5bfc\u7684\u65b9\u5f0f\uff0c\u9a71\u52a8\u6574\u4e2a\u6a21\u578b\u8bad\u7ec3\uff0c\u5b9e\u73b0\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n\u2461 Neural Auction – \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236<\/strong><\/p>\n\n\n\n\u57fa\u4e8e\u53ef\u5fae\u6392\u5e8f\u7b97\u5b50\uff0c\u5b9e\u73b0\u6574\u4e2a\u8fc7\u7a0b\u7684\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n\u96c6\u5408\u7f16\u7801\u5668<\/strong>\uff08Set Encoder\uff09\uff0c\u5b66\u4e60\u6574\u4e2a\u7ade\u4ef7\u961f\u5217\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8f93\u51fa\u4e00\u4e2a\u5b9a\u4e49\u5728\u7ade\u4ef7\u961f\u5217\u4e0a\u7684\u7279\u5f81\uff1b<\/li>\u4e0a\u4e0b\u6587\u8bc4\u5206\u51fd\u6570<\/strong>\uff08Context-Aware Rank Score Function\uff09\uff0c\u4ee5\u5355\u4e2a\u5e7f\u544a\u7684\u7279\u5f81\u548c\u7ade\u4ef7\u961f\u5217\u7279\u5f81\u4f5c\u4e3a\u8f93\u5165\uff0c\u5b66\u4e60\u6bcf\u4e2a\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\uff0c\u5e76\u4fdd\u969c\u5e7f\u544a\u4e3b\u7684 IC\/IR \u6027\u8d28\uff1b<\/li>\u53ef\u5fae\u6392\u5e8f\u5f15\u64ce<\/strong>\uff08Differentiable Sorting Engine\uff09\uff0c\u4ee5\u7ade\u4ef7\u961f\u5217\u6240\u6709\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\u4e3a\u8f93\u5165\uff0c\u4ee5\u53ef\u5fae\u7684\u5f62\u5f0f\u8fdb\u884c\u6392\u5e8f\u64cd\u4f5c\uff0c\u5e76\u8fdb\u4e00\u6b65\u8ba1\u7b97\u5728\u5f53\u524d\u6392\u5e8f\u5206\u72b6\u6001\u4e0b\u7684\u5176\u4ed6\u4f30\u8ba1\u6307\u6807\u3002<\/li><\/ul>\n\n\n\n\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. AIDA\u5e73\u53f0\u5316 – \u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u4e3a\u4e86\u652f\u6491\u4e1a\u52a1\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u63d0\u5347\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u8bbe\u8ba1\u4e86\u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6AIDA\u3002\u5176\u4e2d\u4e24\u4e2a\u521b\u65b0\u7684\u6a21\u5757\u662f\uff1a<\/p>\n\n\n\n\u56fe\u5316\u5728\u7ebf\u670d\u52a1\u5f15\u64ce\uff0c\u4e5f\u79f0\u4e3aAIDA agent\u3002\u5c5e\u4e8e\u4e1a\u754c\u5f00\u521b\u6027\u7684\u57fa\u4e8eTensorFlow\u6846\u67b6\u5c06\u673a\u5236\u7b56\u7565\u4ee5\u56fe\u5316\u7684\u7f16\u7a0b\u6a21\u5f0f\u3001\u9ad8\u5e76\u53d1\u7684\u63d0\u4f9b\u670d\u52a1\u3002<\/li>\u79bb\u7ebf\u7b56\u7565\u89e3\u51b3\u65b9\u6848\u90e8\u5206\uff0c\u4e3a\u4e86\u4e1a\u52a1\u7075\u6d3b\u5feb\u901f\u63a5\u5165\uff0c\u4e14\u4fdd\u969c\u7b97\u6cd5\u670d\u52a1\u8c03\u7528\u7684\u7a33\u5b9a\u6027\uff0c\u5c06\u79bb\u7ebf\u7b56\u7565\u6c89\u6dc0\u5230\u963f\u91cc\u5988\u5988\u7684\u661f\u4e91\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u662f\u5c55\u793a\u5e7f\u544a\u6838\u5fc3\u7684\u79bb\u7ebf\u89e3\u51b3\u65b9\u6848\u6846\u67b6\u3002<\/li><\/ul>\n\n\n\n05<\/strong><\/p>\n\n\n\nAIDA\u5e7f\u544a\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6\u672a\u6765\u89c4\u5212<\/strong><\/h2>\n\n\n\n<\/figure>\n\n\n\n\u667a\u80fd\u62cd\u5356\u673a\u5236\u8bbe\u8ba1\u5728\u963f\u91cc\u5988\u5988\u5c55\u793a\u5e7f\u544a\u521d\u73b0\u6210\u679c\uff0cAIDA\u5e73\u53f0\u5316\u5de5\u7a0b\u6846\u67b6\u5bf9\u673a\u5236\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u63d0\u4f9b\u7684\u670d\u52a1\u6027\u80fd\u7b49\u4e5f\u4ea7\u751f\u6df1\u8fdc\u4ef7\u503c\u3002\u5bf9\u4e8e\u5e7f\u544a\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6\u6709\u5982\u4e0b\u4e94\u65b9\u9762\u89c4\u5212\uff1a<\/p>\n\n\n\n\u6280\u672f\u7eb5\u6df1<\/strong>\uff1a\u867d\u7136\u521d\u6b65\u63a2\u7d22\u51fa\u673a\u5236\u8bbe\u8ba1\u7684\u51e0\u79cd\u89e3\u51b3\u65b9\u6848\uff0c\u4f46\u5de5\u4e1a\u754c\u673a\u5236\u7b56\u7565\u662f\u975e\u5e38\u590d\u6742\u7684\u95ee\u9898\uff0c\u76ee\u524d\u6280\u672f\u53ea\u89e3\u51b3\u4e86\u5c0f\u90e8\u5206\u95ee\u9898\uff0c\u66f4\u591a\u7684\u4e1a\u52a1\u573a\u666f\u9700\u8981\u628a\u6280\u672f\u505a\u5f97\u66f4\u6df1\u3002<\/li>\u65b0\u573a\u666f\u3001\u65b0\u6280\u672f\u76f8\u4e92\u4fc3\u8fdb<\/strong>\uff1a\u65b0\u4e1a\u52a1\u80fd\u7ed9\u6280\u672f\u5e26\u6765\u65b0\u89c6\u89d2\uff0c\u540c\u65f6\uff0c\u65b0\u6280\u672f\u4e5f\u80fd\u7ed9\u4e1a\u52a1\u5e26\u6765\u65b0\u7684\u60f3\u8c61\u529b\u3002\u6bd4\u5982\u6309\u7167\u70b9\u51fb\u552e\u5356\uff0c\u6216\u8005\u6309\u7167\u5c55\u73b0\u552e\u5356\u7b49\uff0c\u8bde\u751f\u4e86\u5f88\u591a\u65b0\u9700\u6c42\u3002\u6bd4\u5982\u96c6\u5408\u62cd\u5356\uff0c\u9700\u8981\u6280\u672f\u7a81\u7834\uff0c\u4fc3\u8fdb\u4e1a\u52a1\u7a81\u7834\u3002<\/li>\u5e7f\u544a\u751f\u6001\u4f18\u5316<\/strong>\uff1a\u9762\u5411\u6574\u4e2a\u5e7f\u544a\u7cfb\u7edf\u53ef\u6301\u7eed\u5065\u5eb7\u53d1\u5c55\uff0c\u6bd4\u5982\u5e7f\u544a\u4e3b\u6276\u6301\uff0c\u65b0\u54c1\u3001\u65b0\u5ba2\u51b7\u542f\u52a8\u7b49\u3002<\/li>\u57fa\u7840\u673a\u5236\u7406\u8bba\u63a2\u7d22<\/strong>\uff1a\u4f20\u7edf\u7684\u673a\u5236\u8bbe\u8ba1\uff0c\u5047\u8bbe\u5e7f\u544a\u4e3b\u4f18\u5316\u76ee\u6807\u5355\u4e00\uff0c\u7269\u7406\u63a8\u5bfc\u6216\u8005\u6280\u672f\u8bbe\u8ba1\u76f8\u5bf9\u7b80\u5355\u3002\u76ee\u524d\u6574\u4e2a\u667a\u80fd\u5316\u7684\u5e7f\u544a\u7cfb\u7edf\uff0c\u5e7f\u544a\u4e3b\u8425\u9500\u7684\u5546\u4e1a\u76ee\u6807\u53d8\u5f97\u66f4\u52a0\u591a\u6837\u5316\u3002\u5e7f\u544a\u4e3b\u4f18\u5316\u76ee\u6807\u7684\u7814\u7a76\uff0c\u51b3\u5b9a\u673a\u5236\u8bbe\u8ba1\u4f18\u5316\u65b9\u5411\u3002<\/li>\u5f00\u6e90\u548c\u5e73\u53f0\u5316<\/strong>\uff1a\u7b56\u7565\u6216\u673a\u5236\u8bbe\u8ba1\u4e0a\u6709\u6210\u6548\u7684\u7ed3\u679c\uff0c\u901a\u8fc7\u8bba\u6587\u5f62\u5f0f\u516c\u5f00\u5171\u4eab\uff0c\u540c\u65f6\uff0c\u5728\u5de5\u7a0b\u4e0a\u5b9e\u73b0\u5f00\u6e90\u548c\u5e73\u53f0\u5316\u3002<\/li><\/ul>\n\n\n\n\u4eca\u5929\u7684\u5206\u4eab\u5c31\u5230\u8fd9\u91cc\uff0c\u8c22\u8c22\u5927\u5bb6\u3002<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"\u8fd1\u51e0\u5e74\uff0c\u4e92\u8054\u7f51\u5e7f\u544a\u8425\u9500\u5e02\u573a\u89c4\u6a21\u4e0d\u65ad\u6269\u5927\uff0c\u5176\u7d2f\u8ba1\u5e02\u573a\u89c4\u6a21\u5df2\u8fbe\u5343\u4ebf\u3002\u673a\u5236\u8bbe\u8ba1\u5728\u5e7f\u544a\u6295\u6295\u653e\u4e2d\u626e\u6f14\u7740\u6838\u5fc3\u89d2\u8272\uff0c\u5982\u4f55\u5e2e\u52a9\u5e7f\u544a\u4e3b\u51fa\u4ef7\u4ee5\u8d62\u5f97\u66f4\u6709\u4ef7\u503c\u7684\u6d41\u91cf\uff0c\u5982\u4f55\u8bbe\u8ba1\u6fc0\u52b1\u517c\u5bb9\u7684\u673a\u5236\u4ee5\u4fdd\u969c\u5e73\u53f0\u6536\u5165\u548c\u2026<\/p>\n","protected":false},"author":2,"featured_media":63605,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2036],"tags":[2766,3299,4719],"special":[],"class_list":["post-63604","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-quan","tag-aida","tag-3299","tag-4719","entry"],"views":58806,"_links":{"self":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/posts\/63604","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\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\u5b9a\u4e49\u5c55\u793a\u5e7f\u544a\u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u95ee\u9898\u8fb9\u754c\u540e\uff0c\u8c03\u7814\u4e86\u5177\u5907\u7ecf\u6d4e\u6027\u6fc0\u52b1\u517c\u5bb9\u7684Myerson Theorem\u7406\u8bba\uff0c\u8be5\u7406\u8bba\u7684\u5145\u8981\u6761\u4ef6\u6709\u4e24\u4e2a\uff0c\u4e00\u662f\u5355\u8c03\u5206\u914d\uff0c\u5373\u5e7f\u544a\u4e3b\u51fa\u4ef7\u8d8a\u9ad8\uff0c\u83b7\u5f97\u5c55\u793a\u5206\u914d\u7684\u6982\u7387\u8d8a\u5927\uff1b\u4e8c\u662f\u6700\u5c0f\u6263\u8d39\uff0c\u5373\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u6070\u597d\u7ade\u5f97\u5c55\u793a\u6d41\u91cf\u7684\u6700\u5c0f\u6263\u8d39\uff0c\u7b49\u4ef7\u4e8e\u7b2c\u4e8c\u5bb6\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u3002\u540c\u65f6\uff0cMyserson\u7406\u8bba\u80fd\u63a8\u5bfc\u6536\u5165\u6700\u5927\u5316\u7684\u6700\u4f18\u673a\u5236\u3002\u5047\u8bbe\u5e7f\u544a\u4e3bvalue\u7684\u5206\u5e03\u5df2\u77e5\u4e14\u72ec\u7acb\uff0c\u80fd\u63a8\u5bfc\u51fa\u4e00\u79cd\u6700\u4f18\u7684\u5e7f\u544a\u7684\u5206\u914d\u51fd\u6570\uff0c\u6839\u636e\u5206\u914d\u51fd\u6570\u53ca\u5e7f\u544a\u4e3b\u7684\u51fa\u4ef7\u51b3\u5b9a\u6d41\u91cf\u7ed9\u54ea\u4e2a\u5e7f\u544a\u4e3b\u3002<\/p>\n\n\n\n
\u57fa\u4e8eMyserson\u542f\u53d1\u53caGSP\u6846\u67b6\uff0c\u8bbe\u8ba1\u4e86\u5177\u6709\u826f\u597d\u7684\u53ef\u89e3\u91ca\u6027\u4e14\u6613\u4e8e\u90e8\u7f72\u7684Deep GSP\u673a\u5236\u3002\u8be5\u673a\u5236\u5b9a\u4e49\u4e86\u5206\u914d\u5f62\u5f0f\uff0c\u5f53\u7ed9\u5b9a\u5e7f\u544a\u4e3b\u7684\u7ade\u4ef7\u961f\u5217\u65f6\uff0c\u5728\u9075\u5faaMyserson\u6fc0\u52b1\u517c\u5bb9\u5145\u8981\u6761\u4ef6\u4e0b\uff0c\u6839\u636e\u5e7f\u544a\u4e3b\u81ea\u8eab\u7684\u7279\u6027\u5b66\u4e60\u6a21\u578b\u7cfb\u6570 \uff0c\u4ece\u800c\u5f71\u54cdrankscore\u51b3\u5b9a\u5206\u914d\u53ca\u6263\u8d39\u3002\u5f53\u6ee1\u8db3\u5bf9\u5355\u8c03\u9012\u51cf\uff0cDeep GSP\u5bf9\u4e8e\u6548\u7528\u6700\u5927\u5316\uff08utility maximizer\uff09\u5355\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\uff0c\u591a\u4e2a\u5e7f\u544a\u4e3b\u6ee1\u8db3\u7eb3\u4ec0\u5747\u8861\u3002\u540c\u65f6\uff0c\u5bf9\u4e8evalue maximizer\u5e7f\u544a\u4e3b\u4e5f\u6ee1\u8db3\u6fc0\u52b1\u517c\u5bb9\u3002<\/p>\n\n\n\n
\u2461 Deep GSP\u5173\u952e\u521b\u65b0\u6280\u672f<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u7b80\u5355\u4ecb\u7ecdDeep GSP\u7684\u5173\u952e\u521b\u65b0\u6280\u672f\uff0c\u5177\u4f53\u7ec6\u8282\u53ef\u4ee5\u53c2\u8003\u8bba\u6587\u3002<\/p>\n\n\n\n\u9996\u5148\uff0c\u5355\u8c03\u6027\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u5355\u8c03\u5206\u914d\u3002bid\u4f5c\u4e3a\u7f51\u7edc\u7279\u5f81\uff0c\u5355\u8c03\u9012\u589e\u4ee3\u8868\u7f51\u7edc\u5bf9\u7279\u5f81\u7684\u68af\u5ea6\u5927\u4e8e0\uff0c\u8bbe\u8ba1\u7f51\u7edc\u65f6\u9700\u8003\u8651\u5355\u8c03\u6027\u90e8\u7f72\u3002<\/p>\n\n\n\n\u5176\u6b21\uff0c\u7ad9\u5728\u5e73\u53f0\u673a\u5236\u89c6\u89d2\uff0c\u9700\u8981\u51b3\u5b9a\u7ed9\u5e7f\u544a\u4e3b\u4ec0\u4e48\u52a8\u4f5c\uff0c\u54ea\u4e2a\u5e7f\u544a\u4e3b\u80dc\u51fa\u3002\u6700\u597d\u7684\u673a\u5236\u662f\u8ba9\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u914d\u5408\u8d77\u6765\uff0c\u8ba9\u6700\u597d\u7684\u5e7f\u544a\u4e3b\u80dc\u51fa\uff0c\u5dee\u7684\u5e7f\u544a\u4e3b\u5931\u8d25\uff0c\u7136\u540e\u8bc4\u4f30\u5bf9\u5e7f\u544a\u4e3b\u52a8\u4f5c\u7684\u597d\u4e0e\u574f\uff0c\u4ee5\u53ca\u5bf9\u6574\u4f53\u6548\u679c\u7684\u5f71\u54cd\u6709\u591a\u5c11\uff0c\u5176\u4e2d\u6d89\u53ca\u5230\u4fe1\u7528\u5206\u914d\u7684\u95ee\u9898\uff0c\u7ed3\u5408\u542f\u53d1\u5f0f\u7b97\u6cd5\u7efc\u5408\u8003\u8651\u6bcf\u4e2a\u5e7f\u544a\u7684\u8d28\u91cf\uff0c\u5bf9\u6574\u4f53\u7684\u5f71\u54cd\u505areward\u3002<\/p>\n\n\n\n\u6700\u540e\uff0c\u9762\u5411\u4e00\u4e2a\u771f\u5b9e\u53cd\u9988\u505a\u6a21\u578b\u7684\u8bad\u7ec3\u3002\u548c\u5176\u4ed6\u5f3a\u5316\u5b66\u4e60\u4e0d\u592a\u4e00\u6837\uff0c\u6ca1\u6709\u4f7f\u7528\u6a21\u62df\u73af\u5883\uff0c\u800c\u662f\u57fa\u4e8e\u771f\u5b9e\u7684\u73af\u5883\u4ea7\u751f\u6570\u636e\uff0c\u7136\u540e\u505a\u95ed\u73af\u7684\u8bad\u7ec3\uff0c\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u4f18\u5316\u6548\u679c\u771f\u5b9e\u6709\u6548\u3002<\/p>\n\n\n\n\u2462 DeepGSP\u4e1a\u52a1\u8d21\u732e\u53ca\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aDeep GSP\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cDeep GSP\u57282020.5-2020.11\u5171\u505a\u4e86\u591a\u6b21\u6280\u672f\u5347\u7ea7\uff0c\u901a\u8fc7\u9762\u5411\u771f\u5b9e\u53cd\u9988\u4f18\u5316\uff0c\u63d0\u5347\u4e86\u5e73\u53f0\u5206\u914d\u6548\u7387\uff0c\u7d2f\u8ba1\u62c9\u52a8\u4fe1\u606f\u6d41\u5e7f\u544a\u5927\u76d8\u4e24\u4f4d\u6570\u589e\u957f\u3002\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0c\u591a\u6b21\u7528\u4e8e\u4e1a\u52a1\u51b3\u7b56\u63d0\u5347CTR\u548cROI\uff0c\u8c03\u63a7\u6548\u679c\u663e\u8457\u9ad8\u4e8euGSP\u7b49\u7b56\u7565\u3002<\/p>\n\n\n\nPaper “Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising” \u88abWSDM’2021\u63a5\u6536\uff0c\u5927\u4f1a\u5bf9\u6587\u7ae0\u4e5f\u505a\u51fa\u4e86\u201c\u5f00\u521b\u6027\u201d\u79f0\u8d5e\u3002<\/p>\n\n\n\n4. \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236(Neural Auction)<\/h3>\n\n\n\n\u2460 \u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u8fdb\u4e00\u6b65\u601d\u8003Neural Auction<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nDeep GSP\u662f\u57fa\u4e8e\u5e7f\u544a\u7c92\u5ea6\u5efa\u6a21\uff0c\u901a\u8fc7\u4fe1\u7528\u5206\u914d\u89e3\u51b3\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u65b9\u5411\u3002\u4f46\u662f\u5b58\u5728\u4e24\u4e2a\u95ee\u9898\uff0c\u7b2c\u4e00\uff0c\u4fe1\u7528\u5206\u914d\u96be\uff0cReward\u8bbe\u8ba1\u975e\u5e38\u4f9d\u8d56\u4e1a\u52a1\u7ecf\u9a8c\uff1b\u7b2c\u4e8c\uff0c\u641c\u7d22\u7a7a\u95f4\u5927\uff0c\u5982\u679c<\u72b6\u6001\uff0c\u52a8\u4f5c>\u63a2\u7d22\u4e0d\u5145\u5206\uff0c\u5f88\u96be\u627e\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n\u4e3a\u7a81\u7834Deep GSP\u7684\u95ee\u9898\uff0c\u7ecf\u8fc7\u591a\u667a\u80fd\u4f53value\u5206\u914d\u6216\u8005\u96c6\u5408\u5efa\u6a21\uff0c\u5c1d\u8bd5\u5c06\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u53c2\u7ade\u653e\u5728\u4e00\u4e2a\u96c6\u5408\u4e2d\u4f18\u5316\uff0c\u5efa\u6a21\u548c\u6548\u679c\u5728\u540c\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u7701\u53bb\u505a\u4fe1\u7528\u5206\u914d\uff0c\u5355\u76ee\u6807\u4f18\u5316\u6709\u6548\uff0c\u4f46\u662f\u591a\u76ee\u6807\u4f18\u5316\u6548\u679c\u4e0d\u660e\u663e\u3002\u5355\u76ee\u6807\u662f\u7aef\u5230\u7aef\u4f18\u5316\uff0c\u53ea\u8981\u5b66\u51favalue\u7684\u5206\u5e03\uff0c\u7136\u540e\u8fdb\u884csoftmax\uff0c\u5c06\u6700\u5927\u7684\u4f5c\u4e3a\u5c55\u793a\u5e7f\u544a\uff0c\u7b2c\u4e8c\u4f5c\u4e3a\u6263\u8d39\u3002\u591a\u76ee\u6807\u4e0b\u9700\u8981\u5bf9\u6240\u6709\u7684\u5e7f\u544a\u5148\u6392\u5e8f\uff0c\u57fa\u4e8e\u6392\u5e8f\u7ed3\u679c\u8fdb\u884c\u5206\u914d\u6263\u8d39\uff0c\u4f46\u662f\u6392\u5e8f\u8fc7\u7a0b\u4e0d\u53ef\u5fae\uff0c\u65e0\u6cd5\u50cf\u76d1\u7763\u5b66\u4e60\u901a\u8fc7\u4f18\u5316\u6548\u679c\uff0c\u901a\u8fc7Loss\u53cd\u5411\u4f20\u9012\u9a71\u52a8\u6a21\u578b\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u63a8\u51faNeural Auction\u62cd\u5356\u673a\u5236\uff0c\u901a\u8fc7\u6700\u540e\u7684\u6548\u679c\u53cd\u5411\u4f20\u5bfc\u7684\u65b9\u5f0f\uff0c\u9a71\u52a8\u6574\u4e2a\u6a21\u578b\u8bad\u7ec3\uff0c\u5b9e\u73b0\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n\u2461 Neural Auction – \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236<\/strong><\/p>\n\n\n\n\u57fa\u4e8e\u53ef\u5fae\u6392\u5e8f\u7b97\u5b50\uff0c\u5b9e\u73b0\u6574\u4e2a\u8fc7\u7a0b\u7684\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n\u96c6\u5408\u7f16\u7801\u5668<\/strong>\uff08Set Encoder\uff09\uff0c\u5b66\u4e60\u6574\u4e2a\u7ade\u4ef7\u961f\u5217\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8f93\u51fa\u4e00\u4e2a\u5b9a\u4e49\u5728\u7ade\u4ef7\u961f\u5217\u4e0a\u7684\u7279\u5f81\uff1b<\/li>\u4e0a\u4e0b\u6587\u8bc4\u5206\u51fd\u6570<\/strong>\uff08Context-Aware Rank Score Function\uff09\uff0c\u4ee5\u5355\u4e2a\u5e7f\u544a\u7684\u7279\u5f81\u548c\u7ade\u4ef7\u961f\u5217\u7279\u5f81\u4f5c\u4e3a\u8f93\u5165\uff0c\u5b66\u4e60\u6bcf\u4e2a\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\uff0c\u5e76\u4fdd\u969c\u5e7f\u544a\u4e3b\u7684 IC\/IR \u6027\u8d28\uff1b<\/li>\u53ef\u5fae\u6392\u5e8f\u5f15\u64ce<\/strong>\uff08Differentiable Sorting Engine\uff09\uff0c\u4ee5\u7ade\u4ef7\u961f\u5217\u6240\u6709\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\u4e3a\u8f93\u5165\uff0c\u4ee5\u53ef\u5fae\u7684\u5f62\u5f0f\u8fdb\u884c\u6392\u5e8f\u64cd\u4f5c\uff0c\u5e76\u8fdb\u4e00\u6b65\u8ba1\u7b97\u5728\u5f53\u524d\u6392\u5e8f\u5206\u72b6\u6001\u4e0b\u7684\u5176\u4ed6\u4f30\u8ba1\u6307\u6807\u3002<\/li><\/ul>\n\n\n\n\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. AIDA\u5e73\u53f0\u5316 – \u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u4e3a\u4e86\u652f\u6491\u4e1a\u52a1\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u63d0\u5347\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u8bbe\u8ba1\u4e86\u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6AIDA\u3002\u5176\u4e2d\u4e24\u4e2a\u521b\u65b0\u7684\u6a21\u5757\u662f\uff1a<\/p>\n\n\n\n\u56fe\u5316\u5728\u7ebf\u670d\u52a1\u5f15\u64ce\uff0c\u4e5f\u79f0\u4e3aAIDA agent\u3002\u5c5e\u4e8e\u4e1a\u754c\u5f00\u521b\u6027\u7684\u57fa\u4e8eTensorFlow\u6846\u67b6\u5c06\u673a\u5236\u7b56\u7565\u4ee5\u56fe\u5316\u7684\u7f16\u7a0b\u6a21\u5f0f\u3001\u9ad8\u5e76\u53d1\u7684\u63d0\u4f9b\u670d\u52a1\u3002<\/li>\u79bb\u7ebf\u7b56\u7565\u89e3\u51b3\u65b9\u6848\u90e8\u5206\uff0c\u4e3a\u4e86\u4e1a\u52a1\u7075\u6d3b\u5feb\u901f\u63a5\u5165\uff0c\u4e14\u4fdd\u969c\u7b97\u6cd5\u670d\u52a1\u8c03\u7528\u7684\u7a33\u5b9a\u6027\uff0c\u5c06\u79bb\u7ebf\u7b56\u7565\u6c89\u6dc0\u5230\u963f\u91cc\u5988\u5988\u7684\u661f\u4e91\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u662f\u5c55\u793a\u5e7f\u544a\u6838\u5fc3\u7684\u79bb\u7ebf\u89e3\u51b3\u65b9\u6848\u6846\u67b6\u3002<\/li><\/ul>\n\n\n\n05<\/strong><\/p>\n\n\n\nAIDA\u5e7f\u544a\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6\u672a\u6765\u89c4\u5212<\/strong><\/h2>\n\n\n\n<\/figure>\n\n\n\n\u667a\u80fd\u62cd\u5356\u673a\u5236\u8bbe\u8ba1\u5728\u963f\u91cc\u5988\u5988\u5c55\u793a\u5e7f\u544a\u521d\u73b0\u6210\u679c\uff0cAIDA\u5e73\u53f0\u5316\u5de5\u7a0b\u6846\u67b6\u5bf9\u673a\u5236\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u63d0\u4f9b\u7684\u670d\u52a1\u6027\u80fd\u7b49\u4e5f\u4ea7\u751f\u6df1\u8fdc\u4ef7\u503c\u3002\u5bf9\u4e8e\u5e7f\u544a\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6\u6709\u5982\u4e0b\u4e94\u65b9\u9762\u89c4\u5212\uff1a<\/p>\n\n\n\n\u6280\u672f\u7eb5\u6df1<\/strong>\uff1a\u867d\u7136\u521d\u6b65\u63a2\u7d22\u51fa\u673a\u5236\u8bbe\u8ba1\u7684\u51e0\u79cd\u89e3\u51b3\u65b9\u6848\uff0c\u4f46\u5de5\u4e1a\u754c\u673a\u5236\u7b56\u7565\u662f\u975e\u5e38\u590d\u6742\u7684\u95ee\u9898\uff0c\u76ee\u524d\u6280\u672f\u53ea\u89e3\u51b3\u4e86\u5c0f\u90e8\u5206\u95ee\u9898\uff0c\u66f4\u591a\u7684\u4e1a\u52a1\u573a\u666f\u9700\u8981\u628a\u6280\u672f\u505a\u5f97\u66f4\u6df1\u3002<\/li>\u65b0\u573a\u666f\u3001\u65b0\u6280\u672f\u76f8\u4e92\u4fc3\u8fdb<\/strong>\uff1a\u65b0\u4e1a\u52a1\u80fd\u7ed9\u6280\u672f\u5e26\u6765\u65b0\u89c6\u89d2\uff0c\u540c\u65f6\uff0c\u65b0\u6280\u672f\u4e5f\u80fd\u7ed9\u4e1a\u52a1\u5e26\u6765\u65b0\u7684\u60f3\u8c61\u529b\u3002\u6bd4\u5982\u6309\u7167\u70b9\u51fb\u552e\u5356\uff0c\u6216\u8005\u6309\u7167\u5c55\u73b0\u552e\u5356\u7b49\uff0c\u8bde\u751f\u4e86\u5f88\u591a\u65b0\u9700\u6c42\u3002\u6bd4\u5982\u96c6\u5408\u62cd\u5356\uff0c\u9700\u8981\u6280\u672f\u7a81\u7834\uff0c\u4fc3\u8fdb\u4e1a\u52a1\u7a81\u7834\u3002<\/li>\u5e7f\u544a\u751f\u6001\u4f18\u5316<\/strong>\uff1a\u9762\u5411\u6574\u4e2a\u5e7f\u544a\u7cfb\u7edf\u53ef\u6301\u7eed\u5065\u5eb7\u53d1\u5c55\uff0c\u6bd4\u5982\u5e7f\u544a\u4e3b\u6276\u6301\uff0c\u65b0\u54c1\u3001\u65b0\u5ba2\u51b7\u542f\u52a8\u7b49\u3002<\/li>\u57fa\u7840\u673a\u5236\u7406\u8bba\u63a2\u7d22<\/strong>\uff1a\u4f20\u7edf\u7684\u673a\u5236\u8bbe\u8ba1\uff0c\u5047\u8bbe\u5e7f\u544a\u4e3b\u4f18\u5316\u76ee\u6807\u5355\u4e00\uff0c\u7269\u7406\u63a8\u5bfc\u6216\u8005\u6280\u672f\u8bbe\u8ba1\u76f8\u5bf9\u7b80\u5355\u3002\u76ee\u524d\u6574\u4e2a\u667a\u80fd\u5316\u7684\u5e7f\u544a\u7cfb\u7edf\uff0c\u5e7f\u544a\u4e3b\u8425\u9500\u7684\u5546\u4e1a\u76ee\u6807\u53d8\u5f97\u66f4\u52a0\u591a\u6837\u5316\u3002\u5e7f\u544a\u4e3b\u4f18\u5316\u76ee\u6807\u7684\u7814\u7a76\uff0c\u51b3\u5b9a\u673a\u5236\u8bbe\u8ba1\u4f18\u5316\u65b9\u5411\u3002<\/li>\u5f00\u6e90\u548c\u5e73\u53f0\u5316<\/strong>\uff1a\u7b56\u7565\u6216\u673a\u5236\u8bbe\u8ba1\u4e0a\u6709\u6210\u6548\u7684\u7ed3\u679c\uff0c\u901a\u8fc7\u8bba\u6587\u5f62\u5f0f\u516c\u5f00\u5171\u4eab\uff0c\u540c\u65f6\uff0c\u5728\u5de5\u7a0b\u4e0a\u5b9e\u73b0\u5f00\u6e90\u548c\u5e73\u53f0\u5316\u3002<\/li><\/ul>\n\n\n\n\u4eca\u5929\u7684\u5206\u4eab\u5c31\u5230\u8fd9\u91cc\uff0c\u8c22\u8c22\u5927\u5bb6\u3002<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"\u8fd1\u51e0\u5e74\uff0c\u4e92\u8054\u7f51\u5e7f\u544a\u8425\u9500\u5e02\u573a\u89c4\u6a21\u4e0d\u65ad\u6269\u5927\uff0c\u5176\u7d2f\u8ba1\u5e02\u573a\u89c4\u6a21\u5df2\u8fbe\u5343\u4ebf\u3002\u673a\u5236\u8bbe\u8ba1\u5728\u5e7f\u544a\u6295\u6295\u653e\u4e2d\u626e\u6f14\u7740\u6838\u5fc3\u89d2\u8272\uff0c\u5982\u4f55\u5e2e\u52a9\u5e7f\u544a\u4e3b\u51fa\u4ef7\u4ee5\u8d62\u5f97\u66f4\u6709\u4ef7\u503c\u7684\u6d41\u91cf\uff0c\u5982\u4f55\u8bbe\u8ba1\u6fc0\u52b1\u517c\u5bb9\u7684\u673a\u5236\u4ee5\u4fdd\u969c\u5e73\u53f0\u6536\u5165\u548c\u2026<\/p>\n","protected":false},"author":2,"featured_media":63605,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2036],"tags":[2766,3299,4719],"special":[],"class_list":["post-63604","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-quan","tag-aida","tag-3299","tag-4719","entry"],"views":58806,"_links":{"self":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/posts\/63604","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\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\u7b80\u5355\u4ecb\u7ecdDeep GSP\u7684\u5173\u952e\u521b\u65b0\u6280\u672f\uff0c\u5177\u4f53\u7ec6\u8282\u53ef\u4ee5\u53c2\u8003\u8bba\u6587\u3002<\/p>\n\n\n\n
\u9996\u5148\uff0c\u5355\u8c03\u6027\u4fdd\u8bc1\u5e7f\u544a\u4e3b\u5355\u8c03\u5206\u914d\u3002bid\u4f5c\u4e3a\u7f51\u7edc\u7279\u5f81\uff0c\u5355\u8c03\u9012\u589e\u4ee3\u8868\u7f51\u7edc\u5bf9\u7279\u5f81\u7684\u68af\u5ea6\u5927\u4e8e0\uff0c\u8bbe\u8ba1\u7f51\u7edc\u65f6\u9700\u8003\u8651\u5355\u8c03\u6027\u90e8\u7f72\u3002<\/p>\n\n\n\n
\u5176\u6b21\uff0c\u7ad9\u5728\u5e73\u53f0\u673a\u5236\u89c6\u89d2\uff0c\u9700\u8981\u51b3\u5b9a\u7ed9\u5e7f\u544a\u4e3b\u4ec0\u4e48\u52a8\u4f5c\uff0c\u54ea\u4e2a\u5e7f\u544a\u4e3b\u80dc\u51fa\u3002\u6700\u597d\u7684\u673a\u5236\u662f\u8ba9\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u914d\u5408\u8d77\u6765\uff0c\u8ba9\u6700\u597d\u7684\u5e7f\u544a\u4e3b\u80dc\u51fa\uff0c\u5dee\u7684\u5e7f\u544a\u4e3b\u5931\u8d25\uff0c\u7136\u540e\u8bc4\u4f30\u5bf9\u5e7f\u544a\u4e3b\u52a8\u4f5c\u7684\u597d\u4e0e\u574f\uff0c\u4ee5\u53ca\u5bf9\u6574\u4f53\u6548\u679c\u7684\u5f71\u54cd\u6709\u591a\u5c11\uff0c\u5176\u4e2d\u6d89\u53ca\u5230\u4fe1\u7528\u5206\u914d\u7684\u95ee\u9898\uff0c\u7ed3\u5408\u542f\u53d1\u5f0f\u7b97\u6cd5\u7efc\u5408\u8003\u8651\u6bcf\u4e2a\u5e7f\u544a\u7684\u8d28\u91cf\uff0c\u5bf9\u6574\u4f53\u7684\u5f71\u54cd\u505areward\u3002<\/p>\n\n\n\n
\u6700\u540e\uff0c\u9762\u5411\u4e00\u4e2a\u771f\u5b9e\u53cd\u9988\u505a\u6a21\u578b\u7684\u8bad\u7ec3\u3002\u548c\u5176\u4ed6\u5f3a\u5316\u5b66\u4e60\u4e0d\u592a\u4e00\u6837\uff0c\u6ca1\u6709\u4f7f\u7528\u6a21\u62df\u73af\u5883\uff0c\u800c\u662f\u57fa\u4e8e\u771f\u5b9e\u7684\u73af\u5883\u4ea7\u751f\u6570\u636e\uff0c\u7136\u540e\u505a\u95ed\u73af\u7684\u8bad\u7ec3\uff0c\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u4f18\u5316\u6548\u679c\u771f\u5b9e\u6709\u6548\u3002<\/p>\n\n\n\n
\u2462 DeepGSP\u4e1a\u52a1\u8d21\u732e\u53ca\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aDeep GSP\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cDeep GSP\u57282020.5-2020.11\u5171\u505a\u4e86\u591a\u6b21\u6280\u672f\u5347\u7ea7\uff0c\u901a\u8fc7\u9762\u5411\u771f\u5b9e\u53cd\u9988\u4f18\u5316\uff0c\u63d0\u5347\u4e86\u5e73\u53f0\u5206\u914d\u6548\u7387\uff0c\u7d2f\u8ba1\u62c9\u52a8\u4fe1\u606f\u6d41\u5e7f\u544a\u5927\u76d8\u4e24\u4f4d\u6570\u589e\u957f\u3002\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0c\u591a\u6b21\u7528\u4e8e\u4e1a\u52a1\u51b3\u7b56\u63d0\u5347CTR\u548cROI\uff0c\u8c03\u63a7\u6548\u679c\u663e\u8457\u9ad8\u4e8euGSP\u7b49\u7b56\u7565\u3002<\/p>\n\n\n\nPaper “Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising” \u88abWSDM’2021\u63a5\u6536\uff0c\u5927\u4f1a\u5bf9\u6587\u7ae0\u4e5f\u505a\u51fa\u4e86\u201c\u5f00\u521b\u6027\u201d\u79f0\u8d5e\u3002<\/p>\n\n\n\n4. \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236(Neural Auction)<\/h3>\n\n\n\n\u2460 \u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u8fdb\u4e00\u6b65\u601d\u8003Neural Auction<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nDeep GSP\u662f\u57fa\u4e8e\u5e7f\u544a\u7c92\u5ea6\u5efa\u6a21\uff0c\u901a\u8fc7\u4fe1\u7528\u5206\u914d\u89e3\u51b3\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u65b9\u5411\u3002\u4f46\u662f\u5b58\u5728\u4e24\u4e2a\u95ee\u9898\uff0c\u7b2c\u4e00\uff0c\u4fe1\u7528\u5206\u914d\u96be\uff0cReward\u8bbe\u8ba1\u975e\u5e38\u4f9d\u8d56\u4e1a\u52a1\u7ecf\u9a8c\uff1b\u7b2c\u4e8c\uff0c\u641c\u7d22\u7a7a\u95f4\u5927\uff0c\u5982\u679c<\u72b6\u6001\uff0c\u52a8\u4f5c>\u63a2\u7d22\u4e0d\u5145\u5206\uff0c\u5f88\u96be\u627e\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n\u4e3a\u7a81\u7834Deep GSP\u7684\u95ee\u9898\uff0c\u7ecf\u8fc7\u591a\u667a\u80fd\u4f53value\u5206\u914d\u6216\u8005\u96c6\u5408\u5efa\u6a21\uff0c\u5c1d\u8bd5\u5c06\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u53c2\u7ade\u653e\u5728\u4e00\u4e2a\u96c6\u5408\u4e2d\u4f18\u5316\uff0c\u5efa\u6a21\u548c\u6548\u679c\u5728\u540c\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u7701\u53bb\u505a\u4fe1\u7528\u5206\u914d\uff0c\u5355\u76ee\u6807\u4f18\u5316\u6709\u6548\uff0c\u4f46\u662f\u591a\u76ee\u6807\u4f18\u5316\u6548\u679c\u4e0d\u660e\u663e\u3002\u5355\u76ee\u6807\u662f\u7aef\u5230\u7aef\u4f18\u5316\uff0c\u53ea\u8981\u5b66\u51favalue\u7684\u5206\u5e03\uff0c\u7136\u540e\u8fdb\u884csoftmax\uff0c\u5c06\u6700\u5927\u7684\u4f5c\u4e3a\u5c55\u793a\u5e7f\u544a\uff0c\u7b2c\u4e8c\u4f5c\u4e3a\u6263\u8d39\u3002\u591a\u76ee\u6807\u4e0b\u9700\u8981\u5bf9\u6240\u6709\u7684\u5e7f\u544a\u5148\u6392\u5e8f\uff0c\u57fa\u4e8e\u6392\u5e8f\u7ed3\u679c\u8fdb\u884c\u5206\u914d\u6263\u8d39\uff0c\u4f46\u662f\u6392\u5e8f\u8fc7\u7a0b\u4e0d\u53ef\u5fae\uff0c\u65e0\u6cd5\u50cf\u76d1\u7763\u5b66\u4e60\u901a\u8fc7\u4f18\u5316\u6548\u679c\uff0c\u901a\u8fc7Loss\u53cd\u5411\u4f20\u9012\u9a71\u52a8\u6a21\u578b\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u63a8\u51faNeural Auction\u62cd\u5356\u673a\u5236\uff0c\u901a\u8fc7\u6700\u540e\u7684\u6548\u679c\u53cd\u5411\u4f20\u5bfc\u7684\u65b9\u5f0f\uff0c\u9a71\u52a8\u6574\u4e2a\u6a21\u578b\u8bad\u7ec3\uff0c\u5b9e\u73b0\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n\u2461 Neural Auction – \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236<\/strong><\/p>\n\n\n\n\u57fa\u4e8e\u53ef\u5fae\u6392\u5e8f\u7b97\u5b50\uff0c\u5b9e\u73b0\u6574\u4e2a\u8fc7\u7a0b\u7684\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n\u96c6\u5408\u7f16\u7801\u5668<\/strong>\uff08Set Encoder\uff09\uff0c\u5b66\u4e60\u6574\u4e2a\u7ade\u4ef7\u961f\u5217\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8f93\u51fa\u4e00\u4e2a\u5b9a\u4e49\u5728\u7ade\u4ef7\u961f\u5217\u4e0a\u7684\u7279\u5f81\uff1b<\/li>\u4e0a\u4e0b\u6587\u8bc4\u5206\u51fd\u6570<\/strong>\uff08Context-Aware Rank Score Function\uff09\uff0c\u4ee5\u5355\u4e2a\u5e7f\u544a\u7684\u7279\u5f81\u548c\u7ade\u4ef7\u961f\u5217\u7279\u5f81\u4f5c\u4e3a\u8f93\u5165\uff0c\u5b66\u4e60\u6bcf\u4e2a\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\uff0c\u5e76\u4fdd\u969c\u5e7f\u544a\u4e3b\u7684 IC\/IR \u6027\u8d28\uff1b<\/li>\u53ef\u5fae\u6392\u5e8f\u5f15\u64ce<\/strong>\uff08Differentiable Sorting Engine\uff09\uff0c\u4ee5\u7ade\u4ef7\u961f\u5217\u6240\u6709\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\u4e3a\u8f93\u5165\uff0c\u4ee5\u53ef\u5fae\u7684\u5f62\u5f0f\u8fdb\u884c\u6392\u5e8f\u64cd\u4f5c\uff0c\u5e76\u8fdb\u4e00\u6b65\u8ba1\u7b97\u5728\u5f53\u524d\u6392\u5e8f\u5206\u72b6\u6001\u4e0b\u7684\u5176\u4ed6\u4f30\u8ba1\u6307\u6807\u3002<\/li><\/ul>\n\n\n\n\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. AIDA\u5e73\u53f0\u5316 – \u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u4e3a\u4e86\u652f\u6491\u4e1a\u52a1\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u63d0\u5347\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u8bbe\u8ba1\u4e86\u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6AIDA\u3002\u5176\u4e2d\u4e24\u4e2a\u521b\u65b0\u7684\u6a21\u5757\u662f\uff1a<\/p>\n\n\n\n\u56fe\u5316\u5728\u7ebf\u670d\u52a1\u5f15\u64ce\uff0c\u4e5f\u79f0\u4e3aAIDA agent\u3002\u5c5e\u4e8e\u4e1a\u754c\u5f00\u521b\u6027\u7684\u57fa\u4e8eTensorFlow\u6846\u67b6\u5c06\u673a\u5236\u7b56\u7565\u4ee5\u56fe\u5316\u7684\u7f16\u7a0b\u6a21\u5f0f\u3001\u9ad8\u5e76\u53d1\u7684\u63d0\u4f9b\u670d\u52a1\u3002<\/li>\u79bb\u7ebf\u7b56\u7565\u89e3\u51b3\u65b9\u6848\u90e8\u5206\uff0c\u4e3a\u4e86\u4e1a\u52a1\u7075\u6d3b\u5feb\u901f\u63a5\u5165\uff0c\u4e14\u4fdd\u969c\u7b97\u6cd5\u670d\u52a1\u8c03\u7528\u7684\u7a33\u5b9a\u6027\uff0c\u5c06\u79bb\u7ebf\u7b56\u7565\u6c89\u6dc0\u5230\u963f\u91cc\u5988\u5988\u7684\u661f\u4e91\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u662f\u5c55\u793a\u5e7f\u544a\u6838\u5fc3\u7684\u79bb\u7ebf\u89e3\u51b3\u65b9\u6848\u6846\u67b6\u3002<\/li><\/ul>\n\n\n\n05<\/strong><\/p>\n\n\n\nAIDA\u5e7f\u544a\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6\u672a\u6765\u89c4\u5212<\/strong><\/h2>\n\n\n\n<\/figure>\n\n\n\n\u667a\u80fd\u62cd\u5356\u673a\u5236\u8bbe\u8ba1\u5728\u963f\u91cc\u5988\u5988\u5c55\u793a\u5e7f\u544a\u521d\u73b0\u6210\u679c\uff0cAIDA\u5e73\u53f0\u5316\u5de5\u7a0b\u6846\u67b6\u5bf9\u673a\u5236\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u63d0\u4f9b\u7684\u670d\u52a1\u6027\u80fd\u7b49\u4e5f\u4ea7\u751f\u6df1\u8fdc\u4ef7\u503c\u3002\u5bf9\u4e8e\u5e7f\u544a\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6\u6709\u5982\u4e0b\u4e94\u65b9\u9762\u89c4\u5212\uff1a<\/p>\n\n\n\n\u6280\u672f\u7eb5\u6df1<\/strong>\uff1a\u867d\u7136\u521d\u6b65\u63a2\u7d22\u51fa\u673a\u5236\u8bbe\u8ba1\u7684\u51e0\u79cd\u89e3\u51b3\u65b9\u6848\uff0c\u4f46\u5de5\u4e1a\u754c\u673a\u5236\u7b56\u7565\u662f\u975e\u5e38\u590d\u6742\u7684\u95ee\u9898\uff0c\u76ee\u524d\u6280\u672f\u53ea\u89e3\u51b3\u4e86\u5c0f\u90e8\u5206\u95ee\u9898\uff0c\u66f4\u591a\u7684\u4e1a\u52a1\u573a\u666f\u9700\u8981\u628a\u6280\u672f\u505a\u5f97\u66f4\u6df1\u3002<\/li>\u65b0\u573a\u666f\u3001\u65b0\u6280\u672f\u76f8\u4e92\u4fc3\u8fdb<\/strong>\uff1a\u65b0\u4e1a\u52a1\u80fd\u7ed9\u6280\u672f\u5e26\u6765\u65b0\u89c6\u89d2\uff0c\u540c\u65f6\uff0c\u65b0\u6280\u672f\u4e5f\u80fd\u7ed9\u4e1a\u52a1\u5e26\u6765\u65b0\u7684\u60f3\u8c61\u529b\u3002\u6bd4\u5982\u6309\u7167\u70b9\u51fb\u552e\u5356\uff0c\u6216\u8005\u6309\u7167\u5c55\u73b0\u552e\u5356\u7b49\uff0c\u8bde\u751f\u4e86\u5f88\u591a\u65b0\u9700\u6c42\u3002\u6bd4\u5982\u96c6\u5408\u62cd\u5356\uff0c\u9700\u8981\u6280\u672f\u7a81\u7834\uff0c\u4fc3\u8fdb\u4e1a\u52a1\u7a81\u7834\u3002<\/li>\u5e7f\u544a\u751f\u6001\u4f18\u5316<\/strong>\uff1a\u9762\u5411\u6574\u4e2a\u5e7f\u544a\u7cfb\u7edf\u53ef\u6301\u7eed\u5065\u5eb7\u53d1\u5c55\uff0c\u6bd4\u5982\u5e7f\u544a\u4e3b\u6276\u6301\uff0c\u65b0\u54c1\u3001\u65b0\u5ba2\u51b7\u542f\u52a8\u7b49\u3002<\/li>\u57fa\u7840\u673a\u5236\u7406\u8bba\u63a2\u7d22<\/strong>\uff1a\u4f20\u7edf\u7684\u673a\u5236\u8bbe\u8ba1\uff0c\u5047\u8bbe\u5e7f\u544a\u4e3b\u4f18\u5316\u76ee\u6807\u5355\u4e00\uff0c\u7269\u7406\u63a8\u5bfc\u6216\u8005\u6280\u672f\u8bbe\u8ba1\u76f8\u5bf9\u7b80\u5355\u3002\u76ee\u524d\u6574\u4e2a\u667a\u80fd\u5316\u7684\u5e7f\u544a\u7cfb\u7edf\uff0c\u5e7f\u544a\u4e3b\u8425\u9500\u7684\u5546\u4e1a\u76ee\u6807\u53d8\u5f97\u66f4\u52a0\u591a\u6837\u5316\u3002\u5e7f\u544a\u4e3b\u4f18\u5316\u76ee\u6807\u7684\u7814\u7a76\uff0c\u51b3\u5b9a\u673a\u5236\u8bbe\u8ba1\u4f18\u5316\u65b9\u5411\u3002<\/li>\u5f00\u6e90\u548c\u5e73\u53f0\u5316<\/strong>\uff1a\u7b56\u7565\u6216\u673a\u5236\u8bbe\u8ba1\u4e0a\u6709\u6210\u6548\u7684\u7ed3\u679c\uff0c\u901a\u8fc7\u8bba\u6587\u5f62\u5f0f\u516c\u5f00\u5171\u4eab\uff0c\u540c\u65f6\uff0c\u5728\u5de5\u7a0b\u4e0a\u5b9e\u73b0\u5f00\u6e90\u548c\u5e73\u53f0\u5316\u3002<\/li><\/ul>\n\n\n\n\u4eca\u5929\u7684\u5206\u4eab\u5c31\u5230\u8fd9\u91cc\uff0c\u8c22\u8c22\u5927\u5bb6\u3002<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"\u8fd1\u51e0\u5e74\uff0c\u4e92\u8054\u7f51\u5e7f\u544a\u8425\u9500\u5e02\u573a\u89c4\u6a21\u4e0d\u65ad\u6269\u5927\uff0c\u5176\u7d2f\u8ba1\u5e02\u573a\u89c4\u6a21\u5df2\u8fbe\u5343\u4ebf\u3002\u673a\u5236\u8bbe\u8ba1\u5728\u5e7f\u544a\u6295\u6295\u653e\u4e2d\u626e\u6f14\u7740\u6838\u5fc3\u89d2\u8272\uff0c\u5982\u4f55\u5e2e\u52a9\u5e7f\u544a\u4e3b\u51fa\u4ef7\u4ee5\u8d62\u5f97\u66f4\u6709\u4ef7\u503c\u7684\u6d41\u91cf\uff0c\u5982\u4f55\u8bbe\u8ba1\u6fc0\u52b1\u517c\u5bb9\u7684\u673a\u5236\u4ee5\u4fdd\u969c\u5e73\u53f0\u6536\u5165\u548c\u2026<\/p>\n","protected":false},"author":2,"featured_media":63605,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2036],"tags":[2766,3299,4719],"special":[],"class_list":["post-63604","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-quan","tag-aida","tag-3299","tag-4719","entry"],"views":58806,"_links":{"self":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/posts\/63604","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\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\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aDeep GSP\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cDeep GSP\u57282020.5-2020.11\u5171\u505a\u4e86\u591a\u6b21\u6280\u672f\u5347\u7ea7\uff0c\u901a\u8fc7\u9762\u5411\u771f\u5b9e\u53cd\u9988\u4f18\u5316\uff0c\u63d0\u5347\u4e86\u5e73\u53f0\u5206\u914d\u6548\u7387\uff0c\u7d2f\u8ba1\u62c9\u52a8\u4fe1\u606f\u6d41\u5e7f\u544a\u5927\u76d8\u4e24\u4f4d\u6570\u589e\u957f\u3002\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0c\u591a\u6b21\u7528\u4e8e\u4e1a\u52a1\u51b3\u7b56\u63d0\u5347CTR\u548cROI\uff0c\u8c03\u63a7\u6548\u679c\u663e\u8457\u9ad8\u4e8euGSP\u7b49\u7b56\u7565\u3002<\/p>\n\n\n\n
Paper “Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising” \u88abWSDM’2021\u63a5\u6536\uff0c\u5927\u4f1a\u5bf9\u6587\u7ae0\u4e5f\u505a\u51fa\u4e86\u201c\u5f00\u521b\u6027\u201d\u79f0\u8d5e\u3002<\/p>\n\n\n\n
\u2460 \u667a\u80fd\u62cd\u5356\u673a\u5236\u7684\u8fdb\u4e00\u6b65\u601d\u8003Neural Auction<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nDeep GSP\u662f\u57fa\u4e8e\u5e7f\u544a\u7c92\u5ea6\u5efa\u6a21\uff0c\u901a\u8fc7\u4fe1\u7528\u5206\u914d\u89e3\u51b3\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u65b9\u5411\u3002\u4f46\u662f\u5b58\u5728\u4e24\u4e2a\u95ee\u9898\uff0c\u7b2c\u4e00\uff0c\u4fe1\u7528\u5206\u914d\u96be\uff0cReward\u8bbe\u8ba1\u975e\u5e38\u4f9d\u8d56\u4e1a\u52a1\u7ecf\u9a8c\uff1b\u7b2c\u4e8c\uff0c\u641c\u7d22\u7a7a\u95f4\u5927\uff0c\u5982\u679c<\u72b6\u6001\uff0c\u52a8\u4f5c>\u63a2\u7d22\u4e0d\u5145\u5206\uff0c\u5f88\u96be\u627e\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n\u4e3a\u7a81\u7834Deep GSP\u7684\u95ee\u9898\uff0c\u7ecf\u8fc7\u591a\u667a\u80fd\u4f53value\u5206\u914d\u6216\u8005\u96c6\u5408\u5efa\u6a21\uff0c\u5c1d\u8bd5\u5c06\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u53c2\u7ade\u653e\u5728\u4e00\u4e2a\u96c6\u5408\u4e2d\u4f18\u5316\uff0c\u5efa\u6a21\u548c\u6548\u679c\u5728\u540c\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u7701\u53bb\u505a\u4fe1\u7528\u5206\u914d\uff0c\u5355\u76ee\u6807\u4f18\u5316\u6709\u6548\uff0c\u4f46\u662f\u591a\u76ee\u6807\u4f18\u5316\u6548\u679c\u4e0d\u660e\u663e\u3002\u5355\u76ee\u6807\u662f\u7aef\u5230\u7aef\u4f18\u5316\uff0c\u53ea\u8981\u5b66\u51favalue\u7684\u5206\u5e03\uff0c\u7136\u540e\u8fdb\u884csoftmax\uff0c\u5c06\u6700\u5927\u7684\u4f5c\u4e3a\u5c55\u793a\u5e7f\u544a\uff0c\u7b2c\u4e8c\u4f5c\u4e3a\u6263\u8d39\u3002\u591a\u76ee\u6807\u4e0b\u9700\u8981\u5bf9\u6240\u6709\u7684\u5e7f\u544a\u5148\u6392\u5e8f\uff0c\u57fa\u4e8e\u6392\u5e8f\u7ed3\u679c\u8fdb\u884c\u5206\u914d\u6263\u8d39\uff0c\u4f46\u662f\u6392\u5e8f\u8fc7\u7a0b\u4e0d\u53ef\u5fae\uff0c\u65e0\u6cd5\u50cf\u76d1\u7763\u5b66\u4e60\u901a\u8fc7\u4f18\u5316\u6548\u679c\uff0c\u901a\u8fc7Loss\u53cd\u5411\u4f20\u9012\u9a71\u52a8\u6a21\u578b\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u63a8\u51faNeural Auction\u62cd\u5356\u673a\u5236\uff0c\u901a\u8fc7\u6700\u540e\u7684\u6548\u679c\u53cd\u5411\u4f20\u5bfc\u7684\u65b9\u5f0f\uff0c\u9a71\u52a8\u6574\u4e2a\u6a21\u578b\u8bad\u7ec3\uff0c\u5b9e\u73b0\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n\u2461 Neural Auction – \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236<\/strong><\/p>\n\n\n\n\u57fa\u4e8e\u53ef\u5fae\u6392\u5e8f\u7b97\u5b50\uff0c\u5b9e\u73b0\u6574\u4e2a\u8fc7\u7a0b\u7684\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n\u96c6\u5408\u7f16\u7801\u5668<\/strong>\uff08Set Encoder\uff09\uff0c\u5b66\u4e60\u6574\u4e2a\u7ade\u4ef7\u961f\u5217\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8f93\u51fa\u4e00\u4e2a\u5b9a\u4e49\u5728\u7ade\u4ef7\u961f\u5217\u4e0a\u7684\u7279\u5f81\uff1b<\/li>\u4e0a\u4e0b\u6587\u8bc4\u5206\u51fd\u6570<\/strong>\uff08Context-Aware Rank Score Function\uff09\uff0c\u4ee5\u5355\u4e2a\u5e7f\u544a\u7684\u7279\u5f81\u548c\u7ade\u4ef7\u961f\u5217\u7279\u5f81\u4f5c\u4e3a\u8f93\u5165\uff0c\u5b66\u4e60\u6bcf\u4e2a\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\uff0c\u5e76\u4fdd\u969c\u5e7f\u544a\u4e3b\u7684 IC\/IR \u6027\u8d28\uff1b<\/li>\u53ef\u5fae\u6392\u5e8f\u5f15\u64ce<\/strong>\uff08Differentiable Sorting Engine\uff09\uff0c\u4ee5\u7ade\u4ef7\u961f\u5217\u6240\u6709\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\u4e3a\u8f93\u5165\uff0c\u4ee5\u53ef\u5fae\u7684\u5f62\u5f0f\u8fdb\u884c\u6392\u5e8f\u64cd\u4f5c\uff0c\u5e76\u8fdb\u4e00\u6b65\u8ba1\u7b97\u5728\u5f53\u524d\u6392\u5e8f\u5206\u72b6\u6001\u4e0b\u7684\u5176\u4ed6\u4f30\u8ba1\u6307\u6807\u3002<\/li><\/ul>\n\n\n\n\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. AIDA\u5e73\u53f0\u5316 – \u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u4e3a\u4e86\u652f\u6491\u4e1a\u52a1\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u63d0\u5347\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u8bbe\u8ba1\u4e86\u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6AIDA\u3002\u5176\u4e2d\u4e24\u4e2a\u521b\u65b0\u7684\u6a21\u5757\u662f\uff1a<\/p>\n\n\n\n\u56fe\u5316\u5728\u7ebf\u670d\u52a1\u5f15\u64ce\uff0c\u4e5f\u79f0\u4e3aAIDA agent\u3002\u5c5e\u4e8e\u4e1a\u754c\u5f00\u521b\u6027\u7684\u57fa\u4e8eTensorFlow\u6846\u67b6\u5c06\u673a\u5236\u7b56\u7565\u4ee5\u56fe\u5316\u7684\u7f16\u7a0b\u6a21\u5f0f\u3001\u9ad8\u5e76\u53d1\u7684\u63d0\u4f9b\u670d\u52a1\u3002<\/li>\u79bb\u7ebf\u7b56\u7565\u89e3\u51b3\u65b9\u6848\u90e8\u5206\uff0c\u4e3a\u4e86\u4e1a\u52a1\u7075\u6d3b\u5feb\u901f\u63a5\u5165\uff0c\u4e14\u4fdd\u969c\u7b97\u6cd5\u670d\u52a1\u8c03\u7528\u7684\u7a33\u5b9a\u6027\uff0c\u5c06\u79bb\u7ebf\u7b56\u7565\u6c89\u6dc0\u5230\u963f\u91cc\u5988\u5988\u7684\u661f\u4e91\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u662f\u5c55\u793a\u5e7f\u544a\u6838\u5fc3\u7684\u79bb\u7ebf\u89e3\u51b3\u65b9\u6848\u6846\u67b6\u3002<\/li><\/ul>\n\n\n\n05<\/strong><\/p>\n\n\n\nAIDA\u5e7f\u544a\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6\u672a\u6765\u89c4\u5212<\/strong><\/h2>\n\n\n\n<\/figure>\n\n\n\n\u667a\u80fd\u62cd\u5356\u673a\u5236\u8bbe\u8ba1\u5728\u963f\u91cc\u5988\u5988\u5c55\u793a\u5e7f\u544a\u521d\u73b0\u6210\u679c\uff0cAIDA\u5e73\u53f0\u5316\u5de5\u7a0b\u6846\u67b6\u5bf9\u673a\u5236\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u63d0\u4f9b\u7684\u670d\u52a1\u6027\u80fd\u7b49\u4e5f\u4ea7\u751f\u6df1\u8fdc\u4ef7\u503c\u3002\u5bf9\u4e8e\u5e7f\u544a\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6\u6709\u5982\u4e0b\u4e94\u65b9\u9762\u89c4\u5212\uff1a<\/p>\n\n\n\n\u6280\u672f\u7eb5\u6df1<\/strong>\uff1a\u867d\u7136\u521d\u6b65\u63a2\u7d22\u51fa\u673a\u5236\u8bbe\u8ba1\u7684\u51e0\u79cd\u89e3\u51b3\u65b9\u6848\uff0c\u4f46\u5de5\u4e1a\u754c\u673a\u5236\u7b56\u7565\u662f\u975e\u5e38\u590d\u6742\u7684\u95ee\u9898\uff0c\u76ee\u524d\u6280\u672f\u53ea\u89e3\u51b3\u4e86\u5c0f\u90e8\u5206\u95ee\u9898\uff0c\u66f4\u591a\u7684\u4e1a\u52a1\u573a\u666f\u9700\u8981\u628a\u6280\u672f\u505a\u5f97\u66f4\u6df1\u3002<\/li>\u65b0\u573a\u666f\u3001\u65b0\u6280\u672f\u76f8\u4e92\u4fc3\u8fdb<\/strong>\uff1a\u65b0\u4e1a\u52a1\u80fd\u7ed9\u6280\u672f\u5e26\u6765\u65b0\u89c6\u89d2\uff0c\u540c\u65f6\uff0c\u65b0\u6280\u672f\u4e5f\u80fd\u7ed9\u4e1a\u52a1\u5e26\u6765\u65b0\u7684\u60f3\u8c61\u529b\u3002\u6bd4\u5982\u6309\u7167\u70b9\u51fb\u552e\u5356\uff0c\u6216\u8005\u6309\u7167\u5c55\u73b0\u552e\u5356\u7b49\uff0c\u8bde\u751f\u4e86\u5f88\u591a\u65b0\u9700\u6c42\u3002\u6bd4\u5982\u96c6\u5408\u62cd\u5356\uff0c\u9700\u8981\u6280\u672f\u7a81\u7834\uff0c\u4fc3\u8fdb\u4e1a\u52a1\u7a81\u7834\u3002<\/li>\u5e7f\u544a\u751f\u6001\u4f18\u5316<\/strong>\uff1a\u9762\u5411\u6574\u4e2a\u5e7f\u544a\u7cfb\u7edf\u53ef\u6301\u7eed\u5065\u5eb7\u53d1\u5c55\uff0c\u6bd4\u5982\u5e7f\u544a\u4e3b\u6276\u6301\uff0c\u65b0\u54c1\u3001\u65b0\u5ba2\u51b7\u542f\u52a8\u7b49\u3002<\/li>\u57fa\u7840\u673a\u5236\u7406\u8bba\u63a2\u7d22<\/strong>\uff1a\u4f20\u7edf\u7684\u673a\u5236\u8bbe\u8ba1\uff0c\u5047\u8bbe\u5e7f\u544a\u4e3b\u4f18\u5316\u76ee\u6807\u5355\u4e00\uff0c\u7269\u7406\u63a8\u5bfc\u6216\u8005\u6280\u672f\u8bbe\u8ba1\u76f8\u5bf9\u7b80\u5355\u3002\u76ee\u524d\u6574\u4e2a\u667a\u80fd\u5316\u7684\u5e7f\u544a\u7cfb\u7edf\uff0c\u5e7f\u544a\u4e3b\u8425\u9500\u7684\u5546\u4e1a\u76ee\u6807\u53d8\u5f97\u66f4\u52a0\u591a\u6837\u5316\u3002\u5e7f\u544a\u4e3b\u4f18\u5316\u76ee\u6807\u7684\u7814\u7a76\uff0c\u51b3\u5b9a\u673a\u5236\u8bbe\u8ba1\u4f18\u5316\u65b9\u5411\u3002<\/li>\u5f00\u6e90\u548c\u5e73\u53f0\u5316<\/strong>\uff1a\u7b56\u7565\u6216\u673a\u5236\u8bbe\u8ba1\u4e0a\u6709\u6210\u6548\u7684\u7ed3\u679c\uff0c\u901a\u8fc7\u8bba\u6587\u5f62\u5f0f\u516c\u5f00\u5171\u4eab\uff0c\u540c\u65f6\uff0c\u5728\u5de5\u7a0b\u4e0a\u5b9e\u73b0\u5f00\u6e90\u548c\u5e73\u53f0\u5316\u3002<\/li><\/ul>\n\n\n\n\u4eca\u5929\u7684\u5206\u4eab\u5c31\u5230\u8fd9\u91cc\uff0c\u8c22\u8c22\u5927\u5bb6\u3002<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"\u8fd1\u51e0\u5e74\uff0c\u4e92\u8054\u7f51\u5e7f\u544a\u8425\u9500\u5e02\u573a\u89c4\u6a21\u4e0d\u65ad\u6269\u5927\uff0c\u5176\u7d2f\u8ba1\u5e02\u573a\u89c4\u6a21\u5df2\u8fbe\u5343\u4ebf\u3002\u673a\u5236\u8bbe\u8ba1\u5728\u5e7f\u544a\u6295\u6295\u653e\u4e2d\u626e\u6f14\u7740\u6838\u5fc3\u89d2\u8272\uff0c\u5982\u4f55\u5e2e\u52a9\u5e7f\u544a\u4e3b\u51fa\u4ef7\u4ee5\u8d62\u5f97\u66f4\u6709\u4ef7\u503c\u7684\u6d41\u91cf\uff0c\u5982\u4f55\u8bbe\u8ba1\u6fc0\u52b1\u517c\u5bb9\u7684\u673a\u5236\u4ee5\u4fdd\u969c\u5e73\u53f0\u6536\u5165\u548c\u2026<\/p>\n","protected":false},"author":2,"featured_media":63605,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2036],"tags":[2766,3299,4719],"special":[],"class_list":["post-63604","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-quan","tag-aida","tag-3299","tag-4719","entry"],"views":58806,"_links":{"self":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/posts\/63604","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\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Deep GSP\u662f\u57fa\u4e8e\u5e7f\u544a\u7c92\u5ea6\u5efa\u6a21\uff0c\u901a\u8fc7\u4fe1\u7528\u5206\u914d\u89e3\u51b3\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u65b9\u5411\u3002\u4f46\u662f\u5b58\u5728\u4e24\u4e2a\u95ee\u9898\uff0c\u7b2c\u4e00\uff0c\u4fe1\u7528\u5206\u914d\u96be\uff0cReward\u8bbe\u8ba1\u975e\u5e38\u4f9d\u8d56\u4e1a\u52a1\u7ecf\u9a8c\uff1b\u7b2c\u4e8c\uff0c\u641c\u7d22\u7a7a\u95f4\u5927\uff0c\u5982\u679c<\u72b6\u6001\uff0c\u52a8\u4f5c>\u63a2\u7d22\u4e0d\u5145\u5206\uff0c\u5f88\u96be\u627e\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n
\u4e3a\u7a81\u7834Deep GSP\u7684\u95ee\u9898\uff0c\u7ecf\u8fc7\u591a\u667a\u80fd\u4f53value\u5206\u914d\u6216\u8005\u96c6\u5408\u5efa\u6a21\uff0c\u5c1d\u8bd5\u5c06\u6240\u6709\u7684\u5e7f\u544a\u4e3b\u53c2\u7ade\u653e\u5728\u4e00\u4e2a\u96c6\u5408\u4e2d\u4f18\u5316\uff0c\u5efa\u6a21\u548c\u6548\u679c\u5728\u540c\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u7701\u53bb\u505a\u4fe1\u7528\u5206\u914d\uff0c\u5355\u76ee\u6807\u4f18\u5316\u6709\u6548\uff0c\u4f46\u662f\u591a\u76ee\u6807\u4f18\u5316\u6548\u679c\u4e0d\u660e\u663e\u3002\u5355\u76ee\u6807\u662f\u7aef\u5230\u7aef\u4f18\u5316\uff0c\u53ea\u8981\u5b66\u51favalue\u7684\u5206\u5e03\uff0c\u7136\u540e\u8fdb\u884csoftmax\uff0c\u5c06\u6700\u5927\u7684\u4f5c\u4e3a\u5c55\u793a\u5e7f\u544a\uff0c\u7b2c\u4e8c\u4f5c\u4e3a\u6263\u8d39\u3002\u591a\u76ee\u6807\u4e0b\u9700\u8981\u5bf9\u6240\u6709\u7684\u5e7f\u544a\u5148\u6392\u5e8f\uff0c\u57fa\u4e8e\u6392\u5e8f\u7ed3\u679c\u8fdb\u884c\u5206\u914d\u6263\u8d39\uff0c\u4f46\u662f\u6392\u5e8f\u8fc7\u7a0b\u4e0d\u53ef\u5fae\uff0c\u65e0\u6cd5\u50cf\u76d1\u7763\u5b66\u4e60\u901a\u8fc7\u4f18\u5316\u6548\u679c\uff0c\u901a\u8fc7Loss\u53cd\u5411\u4f20\u9012\u9a71\u52a8\u6a21\u578b\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u63a8\u51faNeural Auction\u62cd\u5356\u673a\u5236\uff0c\u901a\u8fc7\u6700\u540e\u7684\u6548\u679c\u53cd\u5411\u4f20\u5bfc\u7684\u65b9\u5f0f\uff0c\u9a71\u52a8\u6574\u4e2a\u6a21\u578b\u8bad\u7ec3\uff0c\u5b9e\u73b0\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n
\u2461 Neural Auction – \u7aef\u5230\u7aef\u4f18\u5316\u7684\u62cd\u5356\u673a\u5236<\/strong><\/p>\n\n\n\n\u57fa\u4e8e\u53ef\u5fae\u6392\u5e8f\u7b97\u5b50\uff0c\u5b9e\u73b0\u6574\u4e2a\u8fc7\u7a0b\u7684\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n\u96c6\u5408\u7f16\u7801\u5668<\/strong>\uff08Set Encoder\uff09\uff0c\u5b66\u4e60\u6574\u4e2a\u7ade\u4ef7\u961f\u5217\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8f93\u51fa\u4e00\u4e2a\u5b9a\u4e49\u5728\u7ade\u4ef7\u961f\u5217\u4e0a\u7684\u7279\u5f81\uff1b<\/li>\u4e0a\u4e0b\u6587\u8bc4\u5206\u51fd\u6570<\/strong>\uff08Context-Aware Rank Score Function\uff09\uff0c\u4ee5\u5355\u4e2a\u5e7f\u544a\u7684\u7279\u5f81\u548c\u7ade\u4ef7\u961f\u5217\u7279\u5f81\u4f5c\u4e3a\u8f93\u5165\uff0c\u5b66\u4e60\u6bcf\u4e2a\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\uff0c\u5e76\u4fdd\u969c\u5e7f\u544a\u4e3b\u7684 IC\/IR \u6027\u8d28\uff1b<\/li>\u53ef\u5fae\u6392\u5e8f\u5f15\u64ce<\/strong>\uff08Differentiable Sorting Engine\uff09\uff0c\u4ee5\u7ade\u4ef7\u961f\u5217\u6240\u6709\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\u4e3a\u8f93\u5165\uff0c\u4ee5\u53ef\u5fae\u7684\u5f62\u5f0f\u8fdb\u884c\u6392\u5e8f\u64cd\u4f5c\uff0c\u5e76\u8fdb\u4e00\u6b65\u8ba1\u7b97\u5728\u5f53\u524d\u6392\u5e8f\u5206\u72b6\u6001\u4e0b\u7684\u5176\u4ed6\u4f30\u8ba1\u6307\u6807\u3002<\/li><\/ul>\n\n\n\n\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. AIDA\u5e73\u53f0\u5316 – \u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u4e3a\u4e86\u652f\u6491\u4e1a\u52a1\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u63d0\u5347\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u8bbe\u8ba1\u4e86\u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6AIDA\u3002\u5176\u4e2d\u4e24\u4e2a\u521b\u65b0\u7684\u6a21\u5757\u662f\uff1a<\/p>\n\n\n\n\u56fe\u5316\u5728\u7ebf\u670d\u52a1\u5f15\u64ce\uff0c\u4e5f\u79f0\u4e3aAIDA 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\u57fa\u4e8e\u53ef\u5fae\u6392\u5e8f\u7b97\u5b50\uff0c\u5b9e\u73b0\u6574\u4e2a\u8fc7\u7a0b\u7684\u7aef\u5230\u7aef\u5b66\u4e60\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n\u96c6\u5408\u7f16\u7801\u5668<\/strong>\uff08Set Encoder\uff09\uff0c\u5b66\u4e60\u6574\u4e2a\u7ade\u4ef7\u961f\u5217\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8f93\u51fa\u4e00\u4e2a\u5b9a\u4e49\u5728\u7ade\u4ef7\u961f\u5217\u4e0a\u7684\u7279\u5f81\uff1b<\/li>\u4e0a\u4e0b\u6587\u8bc4\u5206\u51fd\u6570<\/strong>\uff08Context-Aware Rank Score Function\uff09\uff0c\u4ee5\u5355\u4e2a\u5e7f\u544a\u7684\u7279\u5f81\u548c\u7ade\u4ef7\u961f\u5217\u7279\u5f81\u4f5c\u4e3a\u8f93\u5165\uff0c\u5b66\u4e60\u6bcf\u4e2a\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\uff0c\u5e76\u4fdd\u969c\u5e7f\u544a\u4e3b\u7684 IC\/IR \u6027\u8d28\uff1b<\/li>\u53ef\u5fae\u6392\u5e8f\u5f15\u64ce<\/strong>\uff08Differentiable Sorting Engine\uff09\uff0c\u4ee5\u7ade\u4ef7\u961f\u5217\u6240\u6709\u5e7f\u544a\u7684\u6392\u5e8f\u5206\u6570\u4e3a\u8f93\u5165\uff0c\u4ee5\u53ef\u5fae\u7684\u5f62\u5f0f\u8fdb\u884c\u6392\u5e8f\u64cd\u4f5c\uff0c\u5e76\u8fdb\u4e00\u6b65\u8ba1\u7b97\u5728\u5f53\u524d\u6392\u5e8f\u5206\u72b6\u6001\u4e0b\u7684\u5176\u4ed6\u4f30\u8ba1\u6307\u6807\u3002<\/li><\/ul>\n\n\n\n\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. AIDA\u5e73\u53f0\u5316 – \u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u4e3a\u4e86\u652f\u6491\u4e1a\u52a1\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u63d0\u5347\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u8bbe\u8ba1\u4e86\u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6AIDA\u3002\u5176\u4e2d\u4e24\u4e2a\u521b\u65b0\u7684\u6a21\u5757\u662f\uff1a<\/p>\n\n\n\n\u56fe\u5316\u5728\u7ebf\u670d\u52a1\u5f15\u64ce\uff0c\u4e5f\u79f0\u4e3aAIDA agent\u3002\u5c5e\u4e8e\u4e1a\u754c\u5f00\u521b\u6027\u7684\u57fa\u4e8eTensorFlow\u6846\u67b6\u5c06\u673a\u5236\u7b56\u7565\u4ee5\u56fe\u5316\u7684\u7f16\u7a0b\u6a21\u5f0f\u3001\u9ad8\u5e76\u53d1\u7684\u63d0\u4f9b\u670d\u52a1\u3002<\/li>\u79bb\u7ebf\u7b56\u7565\u89e3\u51b3\u65b9\u6848\u90e8\u5206\uff0c\u4e3a\u4e86\u4e1a\u52a1\u7075\u6d3b\u5feb\u901f\u63a5\u5165\uff0c\u4e14\u4fdd\u969c\u7b97\u6cd5\u670d\u52a1\u8c03\u7528\u7684\u7a33\u5b9a\u6027\uff0c\u5c06\u79bb\u7ebf\u7b56\u7565\u6c89\u6dc0\u5230\u963f\u91cc\u5988\u5988\u7684\u661f\u4e91\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u662f\u5c55\u793a\u5e7f\u544a\u6838\u5fc3\u7684\u79bb\u7ebf\u89e3\u51b3\u65b9\u6848\u6846\u67b6\u3002<\/li><\/ul>\n\n\n\n05<\/strong><\/p>\n\n\n\nAIDA\u5e7f\u544a\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6\u672a\u6765\u89c4\u5212<\/strong><\/h2>\n\n\n\n<\/figure>\n\n\n\n\u667a\u80fd\u62cd\u5356\u673a\u5236\u8bbe\u8ba1\u5728\u963f\u91cc\u5988\u5988\u5c55\u793a\u5e7f\u544a\u521d\u73b0\u6210\u679c\uff0cAIDA\u5e73\u53f0\u5316\u5de5\u7a0b\u6846\u67b6\u5bf9\u673a\u5236\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u63d0\u4f9b\u7684\u670d\u52a1\u6027\u80fd\u7b49\u4e5f\u4ea7\u751f\u6df1\u8fdc\u4ef7\u503c\u3002\u5bf9\u4e8e\u5e7f\u544a\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6\u6709\u5982\u4e0b\u4e94\u65b9\u9762\u89c4\u5212\uff1a<\/p>\n\n\n\n\u6280\u672f\u7eb5\u6df1<\/strong>\uff1a\u867d\u7136\u521d\u6b65\u63a2\u7d22\u51fa\u673a\u5236\u8bbe\u8ba1\u7684\u51e0\u79cd\u89e3\u51b3\u65b9\u6848\uff0c\u4f46\u5de5\u4e1a\u754c\u673a\u5236\u7b56\u7565\u662f\u975e\u5e38\u590d\u6742\u7684\u95ee\u9898\uff0c\u76ee\u524d\u6280\u672f\u53ea\u89e3\u51b3\u4e86\u5c0f\u90e8\u5206\u95ee\u9898\uff0c\u66f4\u591a\u7684\u4e1a\u52a1\u573a\u666f\u9700\u8981\u628a\u6280\u672f\u505a\u5f97\u66f4\u6df1\u3002<\/li>\u65b0\u573a\u666f\u3001\u65b0\u6280\u672f\u76f8\u4e92\u4fc3\u8fdb<\/strong>\uff1a\u65b0\u4e1a\u52a1\u80fd\u7ed9\u6280\u672f\u5e26\u6765\u65b0\u89c6\u89d2\uff0c\u540c\u65f6\uff0c\u65b0\u6280\u672f\u4e5f\u80fd\u7ed9\u4e1a\u52a1\u5e26\u6765\u65b0\u7684\u60f3\u8c61\u529b\u3002\u6bd4\u5982\u6309\u7167\u70b9\u51fb\u552e\u5356\uff0c\u6216\u8005\u6309\u7167\u5c55\u73b0\u552e\u5356\u7b49\uff0c\u8bde\u751f\u4e86\u5f88\u591a\u65b0\u9700\u6c42\u3002\u6bd4\u5982\u96c6\u5408\u62cd\u5356\uff0c\u9700\u8981\u6280\u672f\u7a81\u7834\uff0c\u4fc3\u8fdb\u4e1a\u52a1\u7a81\u7834\u3002<\/li>\u5e7f\u544a\u751f\u6001\u4f18\u5316<\/strong>\uff1a\u9762\u5411\u6574\u4e2a\u5e7f\u544a\u7cfb\u7edf\u53ef\u6301\u7eed\u5065\u5eb7\u53d1\u5c55\uff0c\u6bd4\u5982\u5e7f\u544a\u4e3b\u6276\u6301\uff0c\u65b0\u54c1\u3001\u65b0\u5ba2\u51b7\u542f\u52a8\u7b49\u3002<\/li>\u57fa\u7840\u673a\u5236\u7406\u8bba\u63a2\u7d22<\/strong>\uff1a\u4f20\u7edf\u7684\u673a\u5236\u8bbe\u8ba1\uff0c\u5047\u8bbe\u5e7f\u544a\u4e3b\u4f18\u5316\u76ee\u6807\u5355\u4e00\uff0c\u7269\u7406\u63a8\u5bfc\u6216\u8005\u6280\u672f\u8bbe\u8ba1\u76f8\u5bf9\u7b80\u5355\u3002\u76ee\u524d\u6574\u4e2a\u667a\u80fd\u5316\u7684\u5e7f\u544a\u7cfb\u7edf\uff0c\u5e7f\u544a\u4e3b\u8425\u9500\u7684\u5546\u4e1a\u76ee\u6807\u53d8\u5f97\u66f4\u52a0\u591a\u6837\u5316\u3002\u5e7f\u544a\u4e3b\u4f18\u5316\u76ee\u6807\u7684\u7814\u7a76\uff0c\u51b3\u5b9a\u673a\u5236\u8bbe\u8ba1\u4f18\u5316\u65b9\u5411\u3002<\/li>\u5f00\u6e90\u548c\u5e73\u53f0\u5316<\/strong>\uff1a\u7b56\u7565\u6216\u673a\u5236\u8bbe\u8ba1\u4e0a\u6709\u6210\u6548\u7684\u7ed3\u679c\uff0c\u901a\u8fc7\u8bba\u6587\u5f62\u5f0f\u516c\u5f00\u5171\u4eab\uff0c\u540c\u65f6\uff0c\u5728\u5de5\u7a0b\u4e0a\u5b9e\u73b0\u5f00\u6e90\u548c\u5e73\u53f0\u5316\u3002<\/li><\/ul>\n\n\n\n\u4eca\u5929\u7684\u5206\u4eab\u5c31\u5230\u8fd9\u91cc\uff0c\u8c22\u8c22\u5927\u5bb6\u3002<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"\u8fd1\u51e0\u5e74\uff0c\u4e92\u8054\u7f51\u5e7f\u544a\u8425\u9500\u5e02\u573a\u89c4\u6a21\u4e0d\u65ad\u6269\u5927\uff0c\u5176\u7d2f\u8ba1\u5e02\u573a\u89c4\u6a21\u5df2\u8fbe\u5343\u4ebf\u3002\u673a\u5236\u8bbe\u8ba1\u5728\u5e7f\u544a\u6295\u6295\u653e\u4e2d\u626e\u6f14\u7740\u6838\u5fc3\u89d2\u8272\uff0c\u5982\u4f55\u5e2e\u52a9\u5e7f\u544a\u4e3b\u51fa\u4ef7\u4ee5\u8d62\u5f97\u66f4\u6709\u4ef7\u503c\u7684\u6d41\u91cf\uff0c\u5982\u4f55\u8bbe\u8ba1\u6fc0\u52b1\u517c\u5bb9\u7684\u673a\u5236\u4ee5\u4fdd\u969c\u5e73\u53f0\u6536\u5165\u548c\u2026<\/p>\n","protected":false},"author":2,"featured_media":63605,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2036],"tags":[2766,3299,4719],"special":[],"class_list":["post-63604","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-quan","tag-aida","tag-3299","tag-4719","entry"],"views":58806,"_links":{"self":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/posts\/63604","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\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\u6cbf\u7528\u201c\u57fa\u4e8erankscore\u6392\u5e8f\u201d\u7684\u673a\u5236\u5206\u914d\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u6bcf\u6761\u5e7f\u544a\u7684rankscore\uff0cNeural Auction\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6a21\u5757\u6784\u6210\uff1a<\/p>\n\n\n\n
\u2462 Neural Auction\u6280\u672f\u7ec6\u8282 – Differentiable Sort Engine<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. AIDA\u5e73\u53f0\u5316 – \u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u4e3a\u4e86\u652f\u6491\u4e1a\u52a1\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u63d0\u5347\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u8bbe\u8ba1\u4e86\u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6AIDA\u3002\u5176\u4e2d\u4e24\u4e2a\u521b\u65b0\u7684\u6a21\u5757\u662f\uff1a<\/p>\n\n\n\n\u56fe\u5316\u5728\u7ebf\u670d\u52a1\u5f15\u64ce\uff0c\u4e5f\u79f0\u4e3aAIDA agent\u3002\u5c5e\u4e8e\u4e1a\u754c\u5f00\u521b\u6027\u7684\u57fa\u4e8eTensorFlow\u6846\u67b6\u5c06\u673a\u5236\u7b56\u7565\u4ee5\u56fe\u5316\u7684\u7f16\u7a0b\u6a21\u5f0f\u3001\u9ad8\u5e76\u53d1\u7684\u63d0\u4f9b\u670d\u52a1\u3002<\/li>\u79bb\u7ebf\u7b56\u7565\u89e3\u51b3\u65b9\u6848\u90e8\u5206\uff0c\u4e3a\u4e86\u4e1a\u52a1\u7075\u6d3b\u5feb\u901f\u63a5\u5165\uff0c\u4e14\u4fdd\u969c\u7b97\u6cd5\u670d\u52a1\u8c03\u7528\u7684\u7a33\u5b9a\u6027\uff0c\u5c06\u79bb\u7ebf\u7b56\u7565\u6c89\u6dc0\u5230\u963f\u91cc\u5988\u5988\u7684\u661f\u4e91\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u662f\u5c55\u793a\u5e7f\u544a\u6838\u5fc3\u7684\u79bb\u7ebf\u89e3\u51b3\u65b9\u6848\u6846\u67b6\u3002<\/li><\/ul>\n\n\n\n05<\/strong><\/p>\n\n\n\nAIDA\u5e7f\u544a\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6\u672a\u6765\u89c4\u5212<\/strong><\/h2>\n\n\n\n<\/figure>\n\n\n\n\u667a\u80fd\u62cd\u5356\u673a\u5236\u8bbe\u8ba1\u5728\u963f\u91cc\u5988\u5988\u5c55\u793a\u5e7f\u544a\u521d\u73b0\u6210\u679c\uff0cAIDA\u5e73\u53f0\u5316\u5de5\u7a0b\u6846\u67b6\u5bf9\u673a\u5236\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u63d0\u4f9b\u7684\u670d\u52a1\u6027\u80fd\u7b49\u4e5f\u4ea7\u751f\u6df1\u8fdc\u4ef7\u503c\u3002\u5bf9\u4e8e\u5e7f\u544a\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6\u6709\u5982\u4e0b\u4e94\u65b9\u9762\u89c4\u5212\uff1a<\/p>\n\n\n\n\u6280\u672f\u7eb5\u6df1<\/strong>\uff1a\u867d\u7136\u521d\u6b65\u63a2\u7d22\u51fa\u673a\u5236\u8bbe\u8ba1\u7684\u51e0\u79cd\u89e3\u51b3\u65b9\u6848\uff0c\u4f46\u5de5\u4e1a\u754c\u673a\u5236\u7b56\u7565\u662f\u975e\u5e38\u590d\u6742\u7684\u95ee\u9898\uff0c\u76ee\u524d\u6280\u672f\u53ea\u89e3\u51b3\u4e86\u5c0f\u90e8\u5206\u95ee\u9898\uff0c\u66f4\u591a\u7684\u4e1a\u52a1\u573a\u666f\u9700\u8981\u628a\u6280\u672f\u505a\u5f97\u66f4\u6df1\u3002<\/li>\u65b0\u573a\u666f\u3001\u65b0\u6280\u672f\u76f8\u4e92\u4fc3\u8fdb<\/strong>\uff1a\u65b0\u4e1a\u52a1\u80fd\u7ed9\u6280\u672f\u5e26\u6765\u65b0\u89c6\u89d2\uff0c\u540c\u65f6\uff0c\u65b0\u6280\u672f\u4e5f\u80fd\u7ed9\u4e1a\u52a1\u5e26\u6765\u65b0\u7684\u60f3\u8c61\u529b\u3002\u6bd4\u5982\u6309\u7167\u70b9\u51fb\u552e\u5356\uff0c\u6216\u8005\u6309\u7167\u5c55\u73b0\u552e\u5356\u7b49\uff0c\u8bde\u751f\u4e86\u5f88\u591a\u65b0\u9700\u6c42\u3002\u6bd4\u5982\u96c6\u5408\u62cd\u5356\uff0c\u9700\u8981\u6280\u672f\u7a81\u7834\uff0c\u4fc3\u8fdb\u4e1a\u52a1\u7a81\u7834\u3002<\/li>\u5e7f\u544a\u751f\u6001\u4f18\u5316<\/strong>\uff1a\u9762\u5411\u6574\u4e2a\u5e7f\u544a\u7cfb\u7edf\u53ef\u6301\u7eed\u5065\u5eb7\u53d1\u5c55\uff0c\u6bd4\u5982\u5e7f\u544a\u4e3b\u6276\u6301\uff0c\u65b0\u54c1\u3001\u65b0\u5ba2\u51b7\u542f\u52a8\u7b49\u3002<\/li>\u57fa\u7840\u673a\u5236\u7406\u8bba\u63a2\u7d22<\/strong>\uff1a\u4f20\u7edf\u7684\u673a\u5236\u8bbe\u8ba1\uff0c\u5047\u8bbe\u5e7f\u544a\u4e3b\u4f18\u5316\u76ee\u6807\u5355\u4e00\uff0c\u7269\u7406\u63a8\u5bfc\u6216\u8005\u6280\u672f\u8bbe\u8ba1\u76f8\u5bf9\u7b80\u5355\u3002\u76ee\u524d\u6574\u4e2a\u667a\u80fd\u5316\u7684\u5e7f\u544a\u7cfb\u7edf\uff0c\u5e7f\u544a\u4e3b\u8425\u9500\u7684\u5546\u4e1a\u76ee\u6807\u53d8\u5f97\u66f4\u52a0\u591a\u6837\u5316\u3002\u5e7f\u544a\u4e3b\u4f18\u5316\u76ee\u6807\u7684\u7814\u7a76\uff0c\u51b3\u5b9a\u673a\u5236\u8bbe\u8ba1\u4f18\u5316\u65b9\u5411\u3002<\/li>\u5f00\u6e90\u548c\u5e73\u53f0\u5316<\/strong>\uff1a\u7b56\u7565\u6216\u673a\u5236\u8bbe\u8ba1\u4e0a\u6709\u6210\u6548\u7684\u7ed3\u679c\uff0c\u901a\u8fc7\u8bba\u6587\u5f62\u5f0f\u516c\u5f00\u5171\u4eab\uff0c\u540c\u65f6\uff0c\u5728\u5de5\u7a0b\u4e0a\u5b9e\u73b0\u5f00\u6e90\u548c\u5e73\u53f0\u5316\u3002<\/li><\/ul>\n\n\n\n\u4eca\u5929\u7684\u5206\u4eab\u5c31\u5230\u8fd9\u91cc\uff0c\u8c22\u8c22\u5927\u5bb6\u3002<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"\u8fd1\u51e0\u5e74\uff0c\u4e92\u8054\u7f51\u5e7f\u544a\u8425\u9500\u5e02\u573a\u89c4\u6a21\u4e0d\u65ad\u6269\u5927\uff0c\u5176\u7d2f\u8ba1\u5e02\u573a\u89c4\u6a21\u5df2\u8fbe\u5343\u4ebf\u3002\u673a\u5236\u8bbe\u8ba1\u5728\u5e7f\u544a\u6295\u6295\u653e\u4e2d\u626e\u6f14\u7740\u6838\u5fc3\u89d2\u8272\uff0c\u5982\u4f55\u5e2e\u52a9\u5e7f\u544a\u4e3b\u51fa\u4ef7\u4ee5\u8d62\u5f97\u66f4\u6709\u4ef7\u503c\u7684\u6d41\u91cf\uff0c\u5982\u4f55\u8bbe\u8ba1\u6fc0\u52b1\u517c\u5bb9\u7684\u673a\u5236\u4ee5\u4fdd\u969c\u5e73\u53f0\u6536\u5165\u548c\u2026<\/p>\n","protected":false},"author":2,"featured_media":63605,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2036],"tags":[2766,3299,4719],"special":[],"class_list":["post-63604","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-quan","tag-aida","tag-3299","tag-4719","entry"],"views":58806,"_links":{"self":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/posts\/63604","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\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\u2463 NeuralAuction \u4e1a\u52a1\u8d21\u732e\u548c\u5b66\u672f\u6c89\u6dc0<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\n\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\nPaper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n5. AIDA\u5e73\u53f0\u5316 – \u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6<\/h3>\n\n\n\n<\/figure>\n\n\n\n\u4e3a\u4e86\u652f\u6491\u4e1a\u52a1\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u63d0\u5347\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u8bbe\u8ba1\u4e86\u9762\u5411\u673a\u5236\u7b56\u7565\u7684\u5e73\u53f0\u5316\u6846\u67b6AIDA\u3002\u5176\u4e2d\u4e24\u4e2a\u521b\u65b0\u7684\u6a21\u5757\u662f\uff1a<\/p>\n\n\n\n\u56fe\u5316\u5728\u7ebf\u670d\u52a1\u5f15\u64ce\uff0c\u4e5f\u79f0\u4e3aAIDA agent\u3002\u5c5e\u4e8e\u4e1a\u754c\u5f00\u521b\u6027\u7684\u57fa\u4e8eTensorFlow\u6846\u67b6\u5c06\u673a\u5236\u7b56\u7565\u4ee5\u56fe\u5316\u7684\u7f16\u7a0b\u6a21\u5f0f\u3001\u9ad8\u5e76\u53d1\u7684\u63d0\u4f9b\u670d\u52a1\u3002<\/li>\u79bb\u7ebf\u7b56\u7565\u89e3\u51b3\u65b9\u6848\u90e8\u5206\uff0c\u4e3a\u4e86\u4e1a\u52a1\u7075\u6d3b\u5feb\u901f\u63a5\u5165\uff0c\u4e14\u4fdd\u969c\u7b97\u6cd5\u670d\u52a1\u8c03\u7528\u7684\u7a33\u5b9a\u6027\uff0c\u5c06\u79bb\u7ebf\u7b56\u7565\u6c89\u6dc0\u5230\u963f\u91cc\u5988\u5988\u7684\u661f\u4e91\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u662f\u5c55\u793a\u5e7f\u544a\u6838\u5fc3\u7684\u79bb\u7ebf\u89e3\u51b3\u65b9\u6848\u6846\u67b6\u3002<\/li><\/ul>\n\n\n\n05<\/strong><\/p>\n\n\n\nAIDA\u5e7f\u544a\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6\u672a\u6765\u89c4\u5212<\/strong><\/h2>\n\n\n\n<\/figure>\n\n\n\n\u667a\u80fd\u62cd\u5356\u673a\u5236\u8bbe\u8ba1\u5728\u963f\u91cc\u5988\u5988\u5c55\u793a\u5e7f\u544a\u521d\u73b0\u6210\u679c\uff0cAIDA\u5e73\u53f0\u5316\u5de5\u7a0b\u6846\u67b6\u5bf9\u673a\u5236\u7b56\u7565\u8fed\u4ee3\u6548\u7387\uff0c\u63d0\u4f9b\u7684\u670d\u52a1\u6027\u80fd\u7b49\u4e5f\u4ea7\u751f\u6df1\u8fdc\u4ef7\u503c\u3002\u5bf9\u4e8e\u5e7f\u544a\u667a\u80fd\u51b3\u7b56\u5206\u914d\u6846\u67b6\u6709\u5982\u4e0b\u4e94\u65b9\u9762\u89c4\u5212\uff1a<\/p>\n\n\n\n\u6280\u672f\u7eb5\u6df1<\/strong>\uff1a\u867d\u7136\u521d\u6b65\u63a2\u7d22\u51fa\u673a\u5236\u8bbe\u8ba1\u7684\u51e0\u79cd\u89e3\u51b3\u65b9\u6848\uff0c\u4f46\u5de5\u4e1a\u754c\u673a\u5236\u7b56\u7565\u662f\u975e\u5e38\u590d\u6742\u7684\u95ee\u9898\uff0c\u76ee\u524d\u6280\u672f\u53ea\u89e3\u51b3\u4e86\u5c0f\u90e8\u5206\u95ee\u9898\uff0c\u66f4\u591a\u7684\u4e1a\u52a1\u573a\u666f\u9700\u8981\u628a\u6280\u672f\u505a\u5f97\u66f4\u6df1\u3002<\/li>\u65b0\u573a\u666f\u3001\u65b0\u6280\u672f\u76f8\u4e92\u4fc3\u8fdb<\/strong>\uff1a\u65b0\u4e1a\u52a1\u80fd\u7ed9\u6280\u672f\u5e26\u6765\u65b0\u89c6\u89d2\uff0c\u540c\u65f6\uff0c\u65b0\u6280\u672f\u4e5f\u80fd\u7ed9\u4e1a\u52a1\u5e26\u6765\u65b0\u7684\u60f3\u8c61\u529b\u3002\u6bd4\u5982\u6309\u7167\u70b9\u51fb\u552e\u5356\uff0c\u6216\u8005\u6309\u7167\u5c55\u73b0\u552e\u5356\u7b49\uff0c\u8bde\u751f\u4e86\u5f88\u591a\u65b0\u9700\u6c42\u3002\u6bd4\u5982\u96c6\u5408\u62cd\u5356\uff0c\u9700\u8981\u6280\u672f\u7a81\u7834\uff0c\u4fc3\u8fdb\u4e1a\u52a1\u7a81\u7834\u3002<\/li>\u5e7f\u544a\u751f\u6001\u4f18\u5316<\/strong>\uff1a\u9762\u5411\u6574\u4e2a\u5e7f\u544a\u7cfb\u7edf\u53ef\u6301\u7eed\u5065\u5eb7\u53d1\u5c55\uff0c\u6bd4\u5982\u5e7f\u544a\u4e3b\u6276\u6301\uff0c\u65b0\u54c1\u3001\u65b0\u5ba2\u51b7\u542f\u52a8\u7b49\u3002<\/li>\u57fa\u7840\u673a\u5236\u7406\u8bba\u63a2\u7d22<\/strong>\uff1a\u4f20\u7edf\u7684\u673a\u5236\u8bbe\u8ba1\uff0c\u5047\u8bbe\u5e7f\u544a\u4e3b\u4f18\u5316\u76ee\u6807\u5355\u4e00\uff0c\u7269\u7406\u63a8\u5bfc\u6216\u8005\u6280\u672f\u8bbe\u8ba1\u76f8\u5bf9\u7b80\u5355\u3002\u76ee\u524d\u6574\u4e2a\u667a\u80fd\u5316\u7684\u5e7f\u544a\u7cfb\u7edf\uff0c\u5e7f\u544a\u4e3b\u8425\u9500\u7684\u5546\u4e1a\u76ee\u6807\u53d8\u5f97\u66f4\u52a0\u591a\u6837\u5316\u3002\u5e7f\u544a\u4e3b\u4f18\u5316\u76ee\u6807\u7684\u7814\u7a76\uff0c\u51b3\u5b9a\u673a\u5236\u8bbe\u8ba1\u4f18\u5316\u65b9\u5411\u3002<\/li>\u5f00\u6e90\u548c\u5e73\u53f0\u5316<\/strong>\uff1a\u7b56\u7565\u6216\u673a\u5236\u8bbe\u8ba1\u4e0a\u6709\u6210\u6548\u7684\u7ed3\u679c\uff0c\u901a\u8fc7\u8bba\u6587\u5f62\u5f0f\u516c\u5f00\u5171\u4eab\uff0c\u540c\u65f6\uff0c\u5728\u5de5\u7a0b\u4e0a\u5b9e\u73b0\u5f00\u6e90\u548c\u5e73\u53f0\u5316\u3002<\/li><\/ul>\n\n\n\n\u4eca\u5929\u7684\u5206\u4eab\u5c31\u5230\u8fd9\u91cc\uff0c\u8c22\u8c22\u5927\u5bb6\u3002<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"\u8fd1\u51e0\u5e74\uff0c\u4e92\u8054\u7f51\u5e7f\u544a\u8425\u9500\u5e02\u573a\u89c4\u6a21\u4e0d\u65ad\u6269\u5927\uff0c\u5176\u7d2f\u8ba1\u5e02\u573a\u89c4\u6a21\u5df2\u8fbe\u5343\u4ebf\u3002\u673a\u5236\u8bbe\u8ba1\u5728\u5e7f\u544a\u6295\u6295\u653e\u4e2d\u626e\u6f14\u7740\u6838\u5fc3\u89d2\u8272\uff0c\u5982\u4f55\u5e2e\u52a9\u5e7f\u544a\u4e3b\u51fa\u4ef7\u4ee5\u8d62\u5f97\u66f4\u6709\u4ef7\u503c\u7684\u6d41\u91cf\uff0c\u5982\u4f55\u8bbe\u8ba1\u6fc0\u52b1\u517c\u5bb9\u7684\u673a\u5236\u4ee5\u4fdd\u969c\u5e73\u53f0\u6536\u5165\u548c\u2026<\/p>\n","protected":false},"author":2,"featured_media":63605,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2036],"tags":[2766,3299,4719],"special":[],"class_list":["post-63604","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-quan","tag-aida","tag-3299","tag-4719","entry"],"views":58806,"_links":{"self":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/posts\/63604","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.growthhk.cn\/wp-json\/wp\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\u5728\u591a\u76ee\u6807\u4f18\u5316\u65b9\u9762\uff0c\u5e15\u7d2f\u6258\u66f2\u9762\u663e\u793aNeural Auction\u6548\u679c\u4f18\u4e8eGSP\u3001uGSP\u3001Deep GSP\u3002\u5728\u63d0\u6548\u4e0e\u591a\u76ee\u6807\u8c03\u63a7\u65b9\u9762\uff0cNeural Auction\u57282021.4 – 2021.6\u505a\u4e86\u591a\u6b21\u8fed\u4ee3\u5347\u7ea7\uff0c\u5728\u5c55\u793a\u5e7f\u544a\u591a\u4e2a\u573a\u666f\u6548\u679c\u53d6\u5f97\u5927\u5e45\u63d0\u5347\u3002\u5927\u4fc3\u671f\u95f4\uff0c\u591a\u76ee\u6807\u8c03\u63a7\u663e\u8457\u63d0\u5347\u4e86\u5e7f\u544aROI\u3002<\/p>\n\n\n\n
Paper \u201cNeural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising\u201d\u5df2\u7ecf\u88abKDD2021\u63a5\u6536\u3002<\/p>\n\n\n\n
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