{"id":113463,"date":"2019-05-22T10:34:06","date_gmt":"2019-05-22T02:34:06","guid":{"rendered":"http:\/\/www.fagao.me\/?p=113463"},"modified":"2019-05-22T10:34:06","modified_gmt":"2019-05-22T02:34:06","slug":"%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e5%9c%a8%e7%be%8e%e5%9b%a2%e6%90%9c%e7%b4%a2%e5%b9%bf%e5%91%8a%e6%8e%92%e5%ba%8f%e7%9a%84%e5%ba%94%e7%94%a8%e5%ae%9e%e8%b7%b5%e6%98%af%e6%80%8e%e4%b9%88%e6%a0%b7","status":"publish","type":"post","link":"https:\/\/www.fagao.me\/p\/113463.htm","title":{"rendered":"\u6df1\u5ea6\u5b66\u4e60\u5728\u7f8e\u56e2\u641c\u7d22\u5e7f\u544a\u6392\u5e8f\u7684\u5e94\u7528\u5b9e\u8df5\u662f\u600e\u4e48\u6837\u7684"},"content":{"rendered":"<p><img decoding=\"async\" src=\"https:\/\/www.fagao.me\/images\/uploads\/F031.png\" alt=\"\"><\/p>\n<div class=\"focusup\"><\/div>\n<p style=\"text-align: center;\"><span style=\"font-size: 16px;\">ITPUB<\/span><span style=\"font-size: 16px;\">\u201d <\/span><span style=\"font-size: 16px;\"><\/span><\/p>\n<p style=\"text-align: right;\"><strong><span style=\"font-size: 16px;\">\u4f5c\u8005 | \u859b\u6b22 \u7389\u6797 \u738b\u65b0<\/span><\/strong><\/p>\n<p style=\"text-align: right;\"><strong><span style=\"font-size: 16px;\">\u8f6c\u81ea | \u7f8e\u56e2\u6280\u672f\u56e2\u961f<\/span><\/strong><\/p>\n<p><span style=\"font-size: 16px;\">AI\uff08\u4eba\u5de5\u667a\u80fd\uff09\u6280\u672f\u5df2\u7ecf\u5e7f\u6cdb\u5e94\u7528\u4e8e\u7f8e\u56e2\u7684\u4f17\u591a\u4e1a\u52a1\uff0c\u4ece\u7f8e\u56e2App\u5230\u5927\u4f17\u70b9\u8bc4App\uff0c\u4ece\u5916\u5356\u5230\u6253\u8f66\u51fa\u884c\uff0c\u4ece\u65c5\u6e38\u5230\u5a5a\u5e86\u4eb2\u5b50\uff0c\u7f8e\u56e2\u6570\u767e\u540d\u6700\u4f18\u79c0\u7684\u7b97\u6cd5\u5de5\u7a0b\u5e08\u6b63\u81f4\u529b\u4e8e\u5c06AI\u6280\u672f\u5e94\u7528\u4e8e\u641c\u7d22\u3001\u63a8\u8350\u3001\u5e7f\u544a\u3001\u98ce\u63a7\u3001\u667a\u80fd\u8c03\u5ea6\u3001\u8bed\u97f3\u8bc6\u522b\u3001\u673a\u5668\u4eba\u3001\u65e0\u4eba\u914d\u9001\u7b49\u591a\u4e2a\u9886\u57df\uff0c\u5e2e\u52a9\u7f8e\u56e23.2\u4ebf\u6d88\u8d39\u8005\u548c400\u591a\u4e07\u5546\u6237\u6539\u5584\u670d\u52a1\u548c\u4f53\u9a8c\uff0c\u5e2e\u5927\u5bb6\u5403\u5f97\u66f4\u597d\uff0c\u751f\u6d3b\u66f4\u597d\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u57fa\u4e8eAI\u6280\u672f\uff0c\u7f8e\u56e2\u642d\u5efa\u4e86\u4e16\u754c\u4e0a\u89c4\u6a21\u6700\u5927\uff0c\u590d\u6742\u5ea6\u6700\u9ad8\u7684\u591a\u4eba\u3001\u591a\u70b9\u5b9e\u65f6\u667a\u80fd\u914d\u9001\u8c03\u5ea6\u7cfb\u7edf\uff1b\u57fa\u4e8eAI\u6280\u672f\uff0c\u7f8e\u56e2\u63a8\u51fa\u4e86\u4e1a\u5185\u7b2c\u4e00\u6b3e\u5927\u89c4\u6a21\u843d\u5730\u7684\u4f01\u4e1a\u5e94\u7528\u7ea7\u8bed\u97f3\u4ea4\u4e92\u4ea7\u54c1\uff0c\u4e3a50\u4e07\u9a91\u624b\u914d\u5907\u4e86\u667a\u80fd\u8bed\u97f3\u7cfb\u7edf\uff1b\u57fa\u4e8eAI\u6280\u672f\uff0c\u7f8e\u56e2\u6784\u5efa\u4e86\u4e16\u754c\u4e0a\u6700\u5927\u7684\u83dc\u54c1\u77e5\u8bc6\u5e93\uff0c\u4e3a200\u591a\u4e07\u5546\u5bb6\u30013\u4ebf\u591a\u4ef6\u5546\u54c1\u7ed8\u5236\u4e86\u77e5\u8bc6\u56fe\u8c31\uff0c\u4e3a2.5\u4ebf\u7528\u6237\u63d0\u4f9b\u4e86\u7cbe\u51c6\u7684\u7528\u6237\u753b\u50cf\uff0c\u5e76\u6784\u5efa\u4e86\u4e16\u754c\u4e0a\u7528\u6237\u89c4\u6a21\u6700\u5927\u3001\u590d\u6742\u5ea6\u6700\u9ad8\u7684O2O\u667a\u80fd\u63a8\u8350\u5e73\u53f0\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u7f8e\u56e2\u8fd9\u4e2a\u5168\u7403\u6700\u5927\u751f\u6d3b\u670d\u52a1\u4e92\u8054\u7f51\u5e73\u53f0\u7684\u201c\u5927\u8111\u201d\u662f\u600e\u4e48\u6784\u5efa\u7684\uff1f\u4ece\u672c\u5468\u8d77\uff0c\u6211\u4eec\u5c06\u8fde\u7eed\u53d1\u8868\u201cAI in \u7f8e\u56e2\u201d\u7cfb\u5217\u6587\u7ae0\uff0c\u7ed9\u5927\u5bb6\u5168\u9762\u63ed\u5f00\u5404\u9879\u6280\u672f\u7684\u5185\u5e55\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u53e6\u5916\uff0c\u4e1a\u754c\u7b2c\u4e00\u90e8\u5168\u9762\u8bb2\u8ff0\u4e92\u8054\u7f51\u673a\u5668\u5b66\u4e60\u5b9e\u8df5\u7684\u56fe\u4e66\u300a\u7f8e\u56e2\u673a\u5668\u5b66\u4e60\u5b9e\u8df5\u300b\u4e5f\u5373\u5c06\u4e0a\u5e02\uff0c\u656c\u8bf7\u671f\u5f85\u3002<\/span><\/p>\n<p><span><strong>\u4e00\u3001\u524d\u8a00<\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u5728\u8ba1\u7b97\u5e7f\u544a\u573a\u666f\u4e2d\uff0c\u9700\u8981\u5e73\u8861\u548c\u4f18\u5316\u4e09\u4e2a\u53c2\u4e0e\u65b9\u2014\u2014\u7528\u6237\u3001\u5e7f\u544a\u4e3b\u3001\u5e73\u53f0\u7684\u5173\u952e\u6307\u6807\uff0c\u800c\u9884\u4f30\u70b9\u51fb\u7387CTR\uff08<span>Click-through Rate<\/span>\uff09\u548c\u8f6c\u5316\u7387CVR\uff08<span>Conversion Rate<\/span>\uff09\u662f\u5176\u4e2d\u975e\u5e38\u91cd\u8981\u7684\u4e00\u73af\uff0c\u51c6\u786e\u5730\u9884\u4f30CTR\u548cCVR\u5bf9\u4e8e\u63d0\u9ad8\u6d41\u91cf\u53d8\u73b0\u6548\u7387\uff0c\u63d0\u5347\u5e7f\u544a\u4e3bROI\uff08<span>Return on Investment<\/span>\uff09\uff0c\u4fdd\u8bc1\u7528\u6237\u4f53\u9a8c\u7b49\u90fd\u6709\u91cd\u8981\u7684\u6307\u5bfc\u4f5c\u7528\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u4f20\u7edf\u7684CTR\/CVR\u9884\u4f30\uff0c\u5178\u578b\u7684\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u5305\u62ec\u4eba\u5de5\u7279\u5f81\u5de5\u7a0b + LR\uff08<span>Logistic Regression<\/span>\uff09[1]\u3001GBDT\uff08<span>Gradient Boosting Decision Tree<\/span>\uff09[2] + LR\u3001FM\uff08<span>Factorization Machine<\/span>\uff09[3]\u548cFFM\uff08<span>Field-aware Factorization Machine<\/span>\uff09[4]\u7b49\u6a21\u578b\u3002\u76f8\u6bd4\u4e8e\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\uff0c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8fd1\u51e0\u5e74\u5728\u591a\u9886\u57df\u591a\u4efb\u52a1\uff08\u56fe\u50cf\u8bc6\u522b\u3001\u7269\u4f53\u68c0\u6d4b\u3001\u7ffb\u8bd1\u7cfb\u7edf\u7b49\uff09\u7684\u7a81\u51fa\u8868\u73b0\uff0c\u5370\u8bc1\u4e86\u795e\u7ecf\u7f51\u7edc\u7684\u5f3a\u5927\u8868\u8fbe\u80fd\u529b\uff0c\u4ee5\u53ca\u7aef\u5230\u7aef\u6a21\u578b\u6709\u6548\u7684\u7279\u5f81\u6784\u9020\u80fd\u529b\u3002\u540c\u65f6\u5404\u79cd\u5f00\u6e90\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u5c42\u51fa\u4e0d\u7a77\uff0c\u7f8e\u56e2\u96c6\u56e2\u6570\u636e\u5e73\u53f0\u4e2d\u5fc3\u4e5f\u8fc5\u901f\u5730\u642d\u5efa\u4e86GPU\u8ba1\u7b97\u5e73\u53f0\uff0c\u63d0\u4f9bGPU\u96c6\u7fa4\uff0c\u652f\u6301TensorFlow\u3001MXNet\u3001Caffe\u7b49\u6846\u67b6\uff0c\u63d0\u4f9b\u6570\u636e\u9884\u5904\u7406\u3001\u6a21\u578b\u8bad\u7ec3\u3001\u79bb\u7ebf\u9884\u6d4b\u3001\u6a21\u578b\u90e8\u7f72\u7b49\u529f\u80fd\uff0c\u4e3a\u96c6\u56e2\u5404\u90e8\u95e8\u7684\u7b56\u7565\u7b97\u6cd5\u8fed\u4ee3\u63d0\u4f9b\u4e86\u5f3a\u6709\u529b\u7684\u652f\u6301\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u7f8e\u56e2\u6d77\u91cf\u7684\u7528\u6237\u4e0e\u5546\u5bb6\u6570\u636e\uff0c\u5e7f\u544a\u590d\u6742\u7684\u573a\u666f\u4e0b\u4f17\u591a\u7684\u5f71\u54cd\u56e0\u7d20\uff0c\u4e3a\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u7684\u5e94\u7528\u843d\u5730\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u573a\u666f\u3002\u672c\u6587\u5c06\u7ed3\u5408\u5e7f\u544a\u7279\u6b8a\u7684\u4e1a\u52a1\u573a\u666f\uff0c\u4ecb\u7ecd\u7f8e\u56e2\u641c\u7d22\u5e7f\u544a\u573a\u666f\u4e0b\u6df1\u5ea6\u5b66\u4e60\u7684\u5e94\u7528\u548c\u63a2\u7d22\u3002\u4e3b\u8981\u5305\u62ec\u4ee5\u4e0b\u4e24\u5927\u90e8\u5206\uff1a<\/span><\/p>\n<ul>\n<li>CTR\/CVR\u9884\u4f30\u7531\u673a\u5668\u5b66\u4e60\u5411\u6df1\u5ea6\u5b66\u4e60\u8fc1\u79fb\u7684\u6a21\u578b\u63a2\u7d22\u3002<\/li>\n<li>CTR\/CVR\u9884\u4f30\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u7ebf\u4e0b\u8bad\u7ec3\/\u7ebf\u4e0a\u9884\u4f30\u7684\u5de5\u7a0b\u4f18\u5316\u3002<\/li>\n<\/ul>\n<p><span style=\"font-size: 16px;\"><strong>\u4e8c\u3001\u4ece\u673a\u5668\u5b66\u4e60\u5230\u6df1\u5ea6\u5b66\u4e60\u7684\u6a21\u578b\u63a2\u7d22<\/strong><\/span><\/p>\n<p><strong><span style=\"font-size: 16px;\">2.1 \u573a\u666f\u4e0e\u7279\u5f81<\/span><\/strong><\/p>\n<p><span style=\"font-size: 16px;\">\u7f8e\u56e2\u641c\u7d22\u5e7f\u544a\u4e1a\u52a1\u56ca\u62ec\u4e86\u5173\u952e\u8bcd\u641c\u7d22\u3001\u9891\u9053\u7b5b\u9009\u7b49\u4e1a\u52a1\uff0c\u8986\u76d6\u4e86\u7f8e\u98df\u3001\u4f11\u5a31\u3001\u9152\u5e97\u3001\u4e3d\u4eba\u3001\u7ed3\u5a5a\u3001\u4eb2\u5b50\u7b49200\u591a\u79cd\u5e94\u7528\u573a\u666f\uff0c\u7528\u6237\u9700\u6c42\u5177\u6709\u591a\u6837\u6027\u3002\u540c\u65f6O2O\u6a21\u5f0f\u4e0b\u5b58\u5728\u5730\u7406\u4f4d\u7f6e\u3001\u65f6\u95f4\u7b49\u72ec\u7279\u7684\u9650\u5236\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u7ed3\u5408\u4e0a\u8ff0\u573a\u666f\uff0c\u6211\u4eec\u62bd\u53d6\u4e86\u4ee5\u4e0b\u51e0\u5927\u7c7b\u7279\u5f81\uff1a<\/span><\/p>\n<ul>\n<li>\u7528\u6237\u7279\u5f81<\/li>\n<ul>\n<li>\u4eba\u53e3\u5c5e\u6027\uff1a\u7528\u6237\u5e74\u9f84\uff0c\u6027\u522b\uff0c\u804c\u4e1a\u7b49\u3002<\/li>\n<li>\u884c\u4e3a\u7279\u5f81\uff1a\u5bf9\u5546\u6237\/\u5546\u5708\/\u54c1\u7c7b\u7684\u504f\u597d\uff08\u5b9e\u65f6\u3001\u5386\u53f2\uff09\uff0c\u5916\u5356\u504f\u597d\uff0c\u6d3b\u8dc3\u5ea6\u7b49\u3002<\/li>\n<li>\u5efa\u6a21\u7279\u5f81\uff1a\u57fa\u4e8e\u7528\u6237\u7684\u884c\u4e3a\u5e8f\u5217\u5efa\u6a21\u4ea7\u751f\u7684\u7279\u5f81\u7b49\u3002<\/li>\n<\/ul>\n<li>\u5546\u6237\u7279\u5f81<\/li>\n<ul>\n<li>\u5c5e\u6027\u7279\u5f81\uff1a\u54c1\u7c7b\uff0c\u57ce\u5e02\uff0c\u5546\u5708\uff0c\u54c1\u724c\uff0c\u4ef7\u683c\uff0c\u4fc3\u9500\uff0c\u661f\u7ea7\uff0c\u8bc4\u8bba\u7b49\u3002<\/li>\n<li>\u7edf\u8ba1\u7279\u5f81\uff1a\u4e0d\u540c\u7ef4\u5ea6\/\u65f6\u95f4\u7c92\u5ea6\u7684\u7edf\u8ba1\u7279\u5f81\u7b49\u3002<\/li>\n<li>\u56fe\u50cf\u7279\u5f81\uff1a\u7c7b\u522b\uff0c\u5efa\u6a21\u7279\u5f81\u7b49\u3002<\/li>\n<li>\u4e1a\u52a1\u7279\u5f81\uff1a\u9152\u5e97\u623f\u578b\u7b49\u3002<\/li>\n<\/ul>\n<li>Query\u7279\u5f81<\/li>\n<ul>\n<li>\u5206\u8bcd\uff0c\u610f\u56fe\uff0c\u4e0e\u5546\u6237\u76f8\u4f3c\u5ea6\uff0c\u4e1a\u52a1\u7279\u5f81\u7b49\u3002<\/li>\n<\/ul>\n<li>\u4e0a\u4e0b\u6587\u7279\u5f81<\/li>\n<ul>\n<li>\u65f6\u95f4\uff0c\u8ddd\u79bb\uff0c\u5730\u7406\u4f4d\u7f6e\uff0c\u8bf7\u6c42\u54c1\u7c7b\uff0c\u7ade\u4e89\u60c5\u51b5\u7b49\u3002<\/li>\n<li>\u5e7f\u544a\u66dd\u5149\u4f4d\u6b21\u3002<\/li>\n<\/ul>\n<\/ul>\n<p><span style=\"font-size: 16px;\">\u7ed3\u5408\u7f8e\u56e2\u591a\u54c1\u7c7b\u7684\u4e1a\u52a1\u7279\u70b9\u53caO2O\u6a21\u5f0f\u72ec\u7279\u7684\u9700\u6c42\uff0c\u7740\u91cd\u4ecb\u7ecd\u51e0\u4e2a\u4e1a\u52a1\u573a\u666f\u4ee5\u53ca\u5982\u4f55\u523b\u753b\uff1a<\/span><\/p>\n<ul>\n<li>\u7528\u6237\u7684\u6d88\u8d39\u573a\u666f<\/li>\n<ul>\n<li>\u201c\u9644\u8fd1\u201d\u8bf7\u6c42\uff1a\u7f8e\u56e2\u548c\u5927\u4f17\u70b9\u8bc4App\u4e2d\uff0c\u5927\u90e8\u5206\u7528\u6237\u53d1\u8d77\u8bf7\u6c42\u4e3a\u201c\u9644\u8fd1\u201d\u8bf7\u6c42\uff0c\u5373\u5bfb\u627e\u9644\u8fd1\u7684\u7f8e\u98df\u3001\u9152\u5e97\u3001\u4f11\u95f2\u5a31\u4e50\u573a\u6240\u7b49\u3002\u56e0\u6b64\u7ed9\u7528\u6237\u8fd4\u56de\u5c31\u8fd1\u7684\u5546\u6237\u53ef\u4ee5\u8d77\u5230\u4e8b\u534a\u529f\u500d\u7684\u6548\u679c\u3002\u201c\u8bf7\u6c42\u5230\u5546\u6237\u7684\u8ddd\u79bb\u201d\u7279\u5f81\u53ef\u4ee5\u5f88\u597d\u5730\u523b\u753b\u8fd9\u4e00\u9700\u6c42\u3002<\/li>\n<li>\u201c\u6307\u5b9a\u533a\u57df\uff08\u5546\u5708\uff09\u201d\u8bf7\u6c42\uff1a\u5bfb\u627e\u6307\u5b9a\u533a\u57df\u7684\u5546\u6237\uff0c\u8fd9\u4e2a\u533a\u57df\u7684\u5c5e\u6027\u53ef\u4f5c\u4e3a\u8be5\u6d41\u91cf\u7684\u4fe1\u606f\u8868\u5f81\u3002<\/li>\n<li>\u201c\u4f4d\u7f6e\u201d\u8bf7\u6c42\uff1a\u7528\u6237\u641c\u7d22\u8bcd\u4e3a\u67d0\u4e2a\u4f4d\u7f6e\uff0c\u6bd4\u5982\u201c\u4e94\u9053\u53e3\u201d\uff0c\u548c\u6307\u5b9a\u533a\u57df\u7c7b\u4f3c\uff0c\u8bc6\u522b\u4f4d\u7f6e\u5750\u6807\uff0c\u8ba1\u7b97\u5546\u6237\u5230\u8be5\u5750\u6807\u7684\u8ddd\u79bb\u3002<\/li>\n<li>\u201c\u5bb6\/\u516c\u53f8\u201d\uff1a \u7528\u6237\u90e8\u5206\u7684\u6d88\u8d39\u573a\u6240\u4e3a\u201c\u5bb6\u201d \u6216 \u201c\u516c\u53f8\u201d\uff0c\u6bd4\u5982\u5bfb\u627e\u201c\u5bb6\u201d\u9644\u8fd1\u7684\u7f8e\u98df\uff0c\u5728\u201c\u516c\u53f8\u201d\u9644\u8fd1\u70b9\u9910\u7b49\uff0c\u6839\u636e\u7528\u6237\u753b\u50cf\u5f97\u5230\u7684\u7528\u6237\u201c\u5bb6\u201d\u548c\u201c\u516c\u53f8\u201d\u7684\u4f4d\u7f6e\u6765\u8bc6\u522b\u8fd9\u79cd\u573a\u666f\u3002<\/li>\n<\/ul>\n<li>\u591a\u54c1\u7c7b<\/li>\n<ul>\n<li>\u9488\u5bf9\u7f8e\u98df\u3001\u9152\u5e97\u3001\u4f11\u5a31\u3001\u4e3d\u4eba\u3001\u7ed3\u5a5a\u3001\u4eb2\u5b50\u7b49\u4f17\u591a\u54c1\u7c7b\u7684\u6d88\u8d39\u4e60\u60ef\u4ee5\u53ca\u670d\u52a1\u65b9\u5f0f\uff0c\u5c06\u6570\u636e\u62c6\u5206\u6210\u4e09\u5927\u90e8\u5206\uff0c\u5305\u62ec\u7f8e\u98df\u3001\u9152\u5e97\u3001\u7efc\u5408\uff08\u4f11\u5a31\u3001\u4e3d\u4eba\u3001\u7ed3\u5a5a\u3001\u4eb2\u5b50\u7b49\uff09\u3002\u5176\u4e2d\u7f8e\u98df\u8868\u8fbe\u7528\u6237\u7684\u9910\u996e\u9700\u6c42\uff0c\u9152\u5e97\u8868\u8fbe\u7528\u6237\u7684\u65c5\u6e38\u53ca\u4f4f\u5bbf\u9700\u6c42\uff0c\u7efc\u5408\u8868\u8fbe\u7528\u6237\u7684\u5176\u4ed6\u751f\u6d3b\u9700\u6c42\u3002<\/li>\n<\/ul>\n<li>\u7528\u6237\u7684\u884c\u4e3a\u8f68\u8ff9<\/li>\n<ul>\n<li>\u5b9e\u9a8c\u4e2d\u53d1\u73b0\u7528\u6237\u7684\u5b9e\u65f6\u884c\u4e3a\u5bf9\u8868\u8fbe\u7528\u6237\u9700\u6c42\u8d77\u5230\u5f88\u91cd\u8981\u7684\u4f5c\u7528\u3002\u6bd4\u5982\u7528\u6237\u60f3\u627e\u4e2a\u9910\u9986\u805a\u9910\uff0c\u5148\u7b5b\u9009\u4e86\u7f8e\u98df\uff0c\u53d1\u73b0\u9644\u8fd1\u6709\u706b\u9505\u3001\u97e9\u9910\u3001\u65e5\u6599\u7b49\u5e97\uff0c\u5927\u5bb6\u5bf9\u706b\u9505\u6bd4\u8f83\u611f\u5174\u8da3\uff0c\u53c8\u53bb\u641c\u7d22\u7279\u5b9a\u706b\u9505\u7b49\u7b49\u3002\u7528\u6237\u70b9\u51fb\u8fc7\u7684\u5546\u6237\u3001\u54c1\u7c7b\u3001\u4f4d\u7f6e\uff0c\u4ee5\u53ca\u884c\u4e3a\u5e8f\u5217\u7b49\u90fd\u5bf9\u7528\u6237\u4e0b\u4e00\u523b\u7684\u51b3\u7b56\u8d77\u5230\u5f88\u5927\u4f5c\u7528\u3002<\/li>\n<\/ul>\n<\/ul>\n<p><strong><span style=\"font-size: 16px;\">2.2 \u6a21\u578b <\/span><\/strong><span style=\"font-size: 16px;\"><\/span><\/p>\n<p><span style=\"font-size: 16px;\"><span>\u641c\u7d22\u5e7f\u544aCTR\/CVR\u9884\u4f30\u7ecf\u5386\u4e86\u4ece\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u6a21\u578b\u5230\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u8fc7\u6e21\u3002\u4e0b\u9762\u5148\u7b80\u5355\u4ecb\u7ecd\u4e0b\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff08<\/span><span>GBDT\u3001LR\u3001FM &amp; FFM<\/span><span>\uff09\u53ca\u5e94\u7528\uff0c\u7136\u540e\u518d\u8be6\u7ec6\u4ecb\u7ecd\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u8fed\u4ee3\u3002<\/span><\/span><\/p>\n<p><span style=\"font-size: 16px;\"><strong>GBDT<\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\">GBDT\u53c8\u53ebMART\uff08<span>Multiple Additive Regression Tree<\/span>\uff09\uff0c\u662f\u4e00\u79cd\u8fed\u4ee3\u7684\u51b3\u7b56\u6811\u7b97\u6cd5\u3002\u5b83\u7531\u591a\u68f5\u51b3\u7b56\u6811\u7ec4\u6210\uff0c\u6240\u6709\u6811\u7684\u7ed3\u8bba\u7d2f\u52a0\u8d77\u6765\u4f5c\u4e3a\u6700\u7ec8\u7b54\u6848\u3002\u5b83\u80fd\u81ea\u52a8\u53d1\u73b0\u591a\u79cd\u6709\u533a\u5206\u6027\u7684\u7279\u5f81\u4ee5\u53ca\u7279\u5f81\u7ec4\u5408\uff0c\u5e76\u7701\u53bb\u4e86\u590d\u6742\u7684\u7279\u5f81\u9884\u5904\u7406\u903b\u8f91\u3002Facebook\u5b9e\u73b0GBDT \uff0b LR[5]\u7684\u65b9\u6848\uff0c\u5e76\u53d6\u5f97\u4e86\u4e00\u5b9a\u7684\u6210\u679c\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\"><strong>LR<\/strong><\/span><\/p>\n<p style=\"text-align: center;\">\n<\/p>\n<p><span style=\"font-size: 16px;\">LR\u53ef\u4ee5\u89c6\u4f5c\u5355\u5c42\u5355\u8282\u70b9\u7684\u201cDNN\u201d, \u662f\u4e00\u79cd\u5bbd\u800c\u4e0d\u6df1\u7684\u7ed3\u6784\uff0c\u6240\u6709\u7684\u7279\u5f81\u76f4\u63a5\u4f5c\u7528\u5728\u6700\u540e\u7684\u8f93\u51fa\u7ed3\u679c\u4e0a\u3002\u6a21\u578b\u4f18\u70b9\u662f\u7b80\u5355\u3001\u53ef\u63a7\u6027\u597d\uff0c\u4f46\u662f\u6548\u679c\u7684\u597d\u574f\u76f4\u63a5\u53d6\u51b3\u4e8e\u7279\u5f81\u5de5\u7a0b\u7684\u7a0b\u5ea6\uff0c\u9700\u8981\u975e\u5e38\u7cbe\u7ec6\u7684\u8fde\u7eed\u578b\u3001\u79bb\u6563\u578b\u3001\u65f6\u95f4\u578b\u7b49\u7279\u5f81\u5904\u7406\u53ca\u7279\u5f81\u7ec4\u5408\u3002\u901a\u5e38\u901a\u8fc7\u6b63\u5219\u5316\u7b49\u65b9\u5f0f\u63a7\u5236\u8fc7\u62df\u5408\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\"><strong>FM &amp; FFM<\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\">FM\u53ef\u4ee5\u770b\u505a\u5e26\u7279\u5f81\u4ea4\u53c9\u7684LR\uff0c\u5982\u4e0b\u56fe\u6240\u793a\uff1a<\/span><\/p>\n<\/p>\n<p><span style=\"font-size: 16px;\">\u4ece\u795e\u7ecf\u7f51\u7edc\u7684\u89d2\u5ea6\u8003\u8651\uff0c\u53ef\u4ee5\u770b\u505a\u4e0b\u56fe\u7684\u7b80\u5355\u7f51\u7edc\u642d\u5efa\u65b9\u5f0f\uff1a<\/span><\/p>\n<\/p>\n<p><span style=\"font-size: 16px;\">\u6a21\u578b\u8986\u76d6\u4e86LR\u7684\u5bbd\u6a21\u578b\u7ed3\u6784\uff0c\u540c\u65f6\u4e5f\u5f15\u5165\u4e86\u4ea4\u53c9\u7279\u5f81\uff0c\u589e\u52a0\u6a21\u578b\u7684\u975e\u7ebf\u6027\uff0c\u63d0\u5347\u6a21\u578b\u5bb9\u91cf\uff0c\u80fd\u6355\u6349\u66f4\u591a\u7684\u4fe1\u606f\uff0c\u5bf9\u4e8e\u5e7f\u544aCTR\u9884\u4f30\u7b49\u590d\u6742\u573a\u666f\u6709\u66f4\u597d\u7684\u6355\u6349\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u5728\u4f7f\u7528DNN\u6a21\u578b\u4e4b\u524d\uff0c\u641c\u7d22\u5e7f\u544aCTR\u9884\u4f30\u4f7f\u7528\u4e86FFM\u6a21\u578b\uff0cFFM\u6a21\u578b\u4e2d\u5f15\u5165field\u6982\u5ff5\uff0c\u628an\u4e2a\u7279\u5f81\u5f52\u5c5e\u5230f\u4e2afield\u91cc\uff0c\u5f97\u5230nf\u4e2a\u9690\u5411\u91cf\u7684\u4e8c\u6b21\u9879\uff0c\u62df\u5408\u516c\u5f0f\u5982\u4e0b\uff1a<\/span><\/p>\n<\/p>\n<p><span style=\"font-size: 16px;\">\u4e0a\u5f0f\u4e2d\uff0cfj \u8868\u793a\u7b2cj\u4e2a\u7279\u5f81\u6240\u5c5e\u7684field\u3002\u8bbe\u5b9a\u9690\u5411\u91cf\u957f\u5ea6\u4e3ak\uff0c\u90a3\u4e48\u76f8\u6bd4\u4e8eFM\u7684nk\u4e2a\u4e8c\u6b21\u9879\u53c2\u6570\uff0cFFM\u6709nkf\u4e2a\u4e8c\u6b21\u9879\u53c2\u6570\uff0c\u5b66\u4e60\u548c\u8868\u8fbe\u80fd\u529b\u4e5f\u66f4\u5f3a\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u4f8b\u5982\uff0c\u5728\u641c\u7d22\u5e7f\u544a\u573a\u666f\u4e2d\uff0c\u5047\u8bbe\u5c06\u7279\u5f81\u5212\u5206\u52308\u4e2aField\uff0c\u5206\u522b\u662f<strong>\u7528\u6237\u3001\u5e7f\u544a\u3001Query\u3001\u4e0a\u4e0b\u6587\u3001\u7528\u6237\uff0d\u5e7f\u544a\u3001\u4e0a\u4e0b\u6587\uff0d\u5e7f\u544a\u3001\u7528\u6237\uff0d\u4e0a\u4e0b\u6587\u53ca\u5176\u4ed6<\/strong>\uff0c\u76f8\u5bf9\u4e8eFM\u80fd\u66f4\u597d\u5730\u6355\u6349\u6bcf\u4e2aField\u7684\u4fe1\u606f\u4ee5\u53ca\u4ea4\u53c9\u4fe1\u606f\uff0c\u6bcf\u4e2a\u7279\u5f81\u6784\u5efa\u7684\u9690\u5411\u91cf\u957f\u5ea68*k, \u6574\u4e2a\u6a21\u578b\u53c2\u6570\u7a7a\u95f4\u4e3a8kn+n+1\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">Yu-Chin Juan\u5b9e\u73b0\u4e86\u4e00\u4e2aC++\u7248\u7684FFM\u6a21\u578b\u5de5\u5177\u5305\uff0c\u4f46\u662f\u8be5\u5de5\u5177\u5305\u53ea\u80fd\u5728\u5355\u673a\u8bad\u7ec3\uff0c\u96be\u4ee5\u652f\u6301\u5927\u89c4\u6a21\u7684\u8bad\u7ec3\u6570\u636e\u53ca\u7279\u5f81\u96c6\u5408\uff1b\u5e76\u4e14\u5b83\u7701\u7565\u4e86\u5e38\u6570\u9879\u548c\u4e00\u6b21\u9879\uff0c\u53ea\u5305\u542b\u4e86\u7279\u5f81\u4ea4\u53c9\u9879\uff0c\u5bf9\u4e8e\u67d0\u4e9b\u7279\u5f81\u7684\u4f18\u5316\u9700\u6c42\u96be\u4ee5\u6ee1\u8db3\uff0c\u56e0\u6b64\u6211\u4eec\u5f00\u53d1\u4e86<strong>\u57fa\u4e8ePS-Lite\u7684\u5206\u5e03\u5f0fFFM\u8bad\u7ec3\u5de5\u5177<\/strong>\uff08<span>\u652f\u6301\u4ebf\u7ea7\u522b\u6837\u672c\uff0c\u5343\u4e07\u7ea7\u522b\u7279\u5f81\uff0c\u5206\u949f\u7ea7\u5b8c\u6210\u8bad\u7ec3\uff0c\u76ee\u524d\u5df2\u7ecf\u5728\u516c\u53f8\u5185\u90e8\u666e\u904d\u4f7f\u7528<\/span>\uff09\uff0c\u4e3b\u8981\u6dfb\u52a0\u4e86\u4ee5\u4e0b\u65b0\u7684\u7279\u6027\uff1a<\/span><\/p>\n<ul>\n<li>\u652f\u6301FFM\u6a21\u578b\u7684\u5206\u5e03\u5f0f\u8bad\u7ec3\u3002<\/li>\n<li>\u652f\u6301\u4e00\u6b21\u9879\u548c\u5e38\u6570\u9879\u53c2\u6570\u5b66\u4e60\uff0c\u652f\u6301\u90e8\u5206\u7279\u5f81\u53ea\u5b66\u4e60\u4e00\u6b21\u9879\u53c2\u6570\uff08\u4e0d\u9700\u8981\u548c\u5176\u4ed6\u7279\u5f81\u505a\u4ea4\u53c9\u8fd0\u7b97\uff09\uff0c\u4f8b\u5982\u5e7f\u544a\u4f4d\u6b21\u7279\u5f81\u7b49\u3002\u62df\u5408\u516c\u5f0f\u5982\u4e0b\uff1a<\/li>\n<li>\u652f\u6301\u591a\u79cd\u4f18\u5316\u7b97\u6cd5\u3002<\/li>\n<\/ul>\n<p><span style=\"font-size: 16px;\">\u4eceGBDT\u6a21\u578b\u5207\u5230FFM\u6a21\u578b\uff0c\u79ef\u7d2f\u7684\u6548\u679c\u5982\u4e0b\u6240\u793a\uff0c\u4e3b\u8981\u7684\u63d0\u5347\u6765\u6e90\u4e8e\u5bf9\u5927\u89c4\u6a21\u79bb\u6563\u7279\u5f81\u7684\u523b\u753b\u53ca\u4f7f\u7528\u66f4\u5145\u5206\u7684\u8bad\u7ec3\u6570\u636e\uff1a<\/span><\/p>\n<\/p>\n<p><span style=\"font-size: 16px;\"><strong>DNN<\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u4ece\u4e0a\u9762\u7684\u4ecb\u7ecd\u5927\u5bb6\u53ef\u4ee5\u770b\u5230\uff0c\u7f8e\u56e2\u573a\u666f\u5177\u6709\u591a\u6837\u6027\u548c\u5f88\u9ad8\u7684\u590d\u6742\u5ea6\uff0c\u800c\u5b9e\u9a8c\u8868\u660e\u4ece\u7ebf\u6027\u7684LR\u5230\u5177\u5907\u975e\u7ebf\u6027\u4ea4\u53c9\u7684FM\uff0c\u5230\u5177\u5907Field\u4fe1\u606f\u4ea4\u53c9\u7684FFM\uff0c\u6a21\u578b\u590d\u6742\u5ea6\uff08\u6a21\u578b\u5bb9\u91cf\uff09\u7684\u63d0\u5347\uff0c\u5e26\u6765\u7684\u90fd\u662f\u7ed3\u679c\u7684\u63d0\u5347\u3002\u800cLR\u548cFM\/FFM\u53ef\u4ee5\u89c6\u4f5c\u7b80\u5355\u7684\u6d45\u5c42\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff0c\u57fa\u4e8e\u4e0b\u9762\u4e00\u4e9b\u8003\u8651\uff0c\u6211\u4eec\u5728\u641c\u7d22\u5e7f\u544a\u7684\u573a\u666f\u4e0b\u628aCTR\u6a21\u578b\u5207\u6362\u5230\u6df1\u5ea6\u5b66\u4e60\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff1a<\/span><\/p>\n<ul>\n<li>\u901a\u8fc7\u6539\u8fdb\u6a21\u578b\u7ed3\u6784\uff0c\u52a0\u5165\u6df1\u5ea6\u7ed3\u6784\uff0c\u5229\u7528\u7aef\u5230\u7aef\u7684\u7ed3\u6784\u6316\u6398\u9ad8\u9636\u975e\u7ebf\u6027\u7279\u5f81\uff0c\u4ee5\u53ca\u6d45\u5c42\u6a21\u578b\u65e0\u6cd5\u6355\u6349\u7684\u6f5c\u5728\u6a21\u5f0f\u3002<\/li>\n<li>\u5bf9\u4e8e\u67d0\u4e9bID\u7c7b\u7279\u522b\u7a00\u758f\u7684\u7279\u5f81\uff0c\u53ef\u4ee5\u5728\u6a21\u578b\u4e2d\u5b66\u4e60\u5230\u4fdd\u6301\u5206\u5e03\u5173\u7cfb\u7684\u7a20\u5bc6\u8868\u8fbe\uff08embedding\uff09\u3002<\/li>\n<li>\u5145\u5206\u5229\u7528\u56fe\u7247\u548c\u6587\u672c\u7b49\u5728\u7b80\u5355\u6a21\u578b\u4e2d\u4e0d\u597d\u5229\u7528\u7684\u4fe1\u606f\u3002<\/li>\n<\/ul>\n<p><span style=\"font-size: 16px;\">\u6211\u4eec\u4e3b\u8981\u5c1d\u8bd5\u4e86\u4ee5\u4e0b\u7f51\u7edc\u7ed3\u6784\u548c\u8d85\u53c2\u8c03\u4f18\u7684\u5b9e\u9a8c\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\"><strong>Wide &amp; Deep<\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u9996\u5148\u5c1d\u8bd5\u7684\u662fGoogle\u63d0\u51fa\u7684\u7ecf\u5178\u6a21\u578bWide &amp; Deep Model[6]\uff0c\u6a21\u578b\u5305\u542bWide\u548cDeep\u4e24\u4e2a\u90e8\u5206\uff0c\u5176\u4e2dWide\u90e8\u5206\u53ef\u4ee5\u5f88\u597d\u5730\u5b66\u4e60\u6837\u672c\u4e2d\u7684\u9ad8\u9891\u90e8\u5206\uff0c\u5728LR\u4e2d\u4f7f\u7528\u5230\u7684\u7279\u5f81\u53ef\u4ee5\u76f4\u63a5\u5728\u8fd9\u4e2a\u90e8\u5206\u4f7f\u7528\uff0c\u4f46\u5bf9\u4e8e\u6ca1\u6709\u89c1\u8fc7\u7684ID\u7c7b\u7279\u5f81\uff0c\u6a21\u578b\u5b66\u4e60\u80fd\u529b\u8f83\u5dee\uff0c\u540c\u65f6\u5408\u7406\u7684\u4eba\u5de5\u7279\u5f81\u5de5\u7a0b\u5bf9\u4e8e\u8fd9\u4e2a\u90e8\u5206\u7684\u8868\u8fbe\u6709\u5e2e\u52a9\u3002Deep\u90e8\u5206\u53ef\u4ee5\u8865\u5145\u5b66\u4e60\u6837\u672c\u4e2d\u7684\u957f\u5c3e\u90e8\u5206\uff0c\u540c\u65f6\u63d0\u9ad8\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002Wide\u548cDeep\u90e8\u5206\u5728\u8fd9\u4e2a\u7aef\u5230\u7aef\u7684\u6a21\u578b\u91cc\u4f1a\u8054\u5408\u8bad\u7ec3\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u5728\u5b8c\u6210<strong>\u573a\u666f\u4e0e\u7279\u5f81<\/strong>\u90e8\u5206\u4ecb\u7ecd\u7684\u7279\u5f81\u5de5\u7a0b\u540e\uff0c\u6211\u4eec\u57fa\u4e8eWide &amp; Deep\u6a21\u578b\u8fdb\u884c\u7ed3\u6784\u8c03\u6574\uff0c\u642d\u5efa\u4e86\u4ee5\u4e0b\u7f51\u7edc\uff1a<\/span><\/p>\n<\/p>\n<p><span style=\"font-size: 16px;\">\u5728\u641c\u7d22\u5e7f\u544a\u7684\u573a\u666f\u4e2d\uff0c\u4e0a\u56fe\u7684Part_1\u5305\u542b\u79bb\u6563\u578b\u7279\u5f81\u53ca\u90e8\u5206\u8fde\u7eed\u578b\u7279\u5f81\u79bb\u6563\u5316\u540e\u7684\u7ed3\u679c \uff08<span>\u4f8b\u5982<strong>\u7528\u6237ID\u3001\u5e7f\u544aID\u3001\u5546\u5708ID\u3001\u54c1\u7c7bID\u3001GEO\u3001\u5404\u79cd\u7edf\u8ba1\u7c7b\u7279\u5f81\u79bb\u6563\u5316\u7ed3\u679c<\/strong>\u7b49\u7b49\uff09<\/span>\u3002\u79bb\u6563\u5316\u65b9\u5f0f\u4e3b\u8981\u91c7\u7528\u7b49\u9891\u5212\u5206\u6216MDLP[7]\u3002\u6bcf\u4e2a\u57df\u6784\u5efa\u81ea\u5df1\u7684embedding\u5411\u91cf \uff08<span>\u7f3a\u5931\u7279\u5f81\u548c\u6309\u7167\u4e00\u5b9a\u9608\u503c\u8fc7\u6ee4\u540e\u7684\u4f4e\u9891\u7279\u5f81\u5728\u8fd9\u91cc\u7edf\u4e00\u89c6\u4f5cRare\u7279\u5f81<\/span>\uff09\uff0c\u5f97\u5230\u7279\u5f81\u7684Representation\uff0c\u7136\u540e\u901a\u8fc7Pooling\u5c42\u505a\u91c7\u6837\uff0c\u5e76\u62fc\u63a5\u5728\u4e00\u8d77\u8fdb\u884c\u4fe1\u606f\u878d\u5408\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\"><span>\u53f3\u4fa7\u7684Part_2\u90e8\u5206\u4e3b\u8981\u5305\u542b\u6211\u4eec\u573a\u666f\u4e0b\u7684\u7edf\u8ba1\u7c7b\u7279\u5f81\u53ca\u90e8\u5206\u5176\u4ed6\u9014\u5f84\u5efa\u6a21\u8868\u793a\u540e\u8f93\u5165\u7684\u7279\u5f81 \uff08<\/span><span><span>\u4f8b\u5982<\/span><strong>\u56fe\u7247\u7279\u5f81\u3001\u6587\u672c\u7279\u5f81<\/strong><span>\u7b49\uff09<\/span><\/span><span>\uff0c\u548cPart_1\u7684\u6700\u540e\u4e00\u5c42\u62fc\u63a5\u5728\u4e00\u8d77\u505a\u4fe1\u606f\u878d\u5408\u3002<\/span><\/span><\/p>\n<\/p>\n<p><span style=\"font-size: 16px;\">Part_3\u4e3a\u591a\u4e2a\u5168\u8fde\u63a5\u5c42\uff0c\u6bcf\u4e2aLayer\u540e\u9762\u8fde\u63a5\u6fc0\u6d3b\u51fd\u6570\uff0c\u4f8b\u5982ReLu, Tanh\u7b49\u3002<\/span><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.fagao.me\/images\/uploads\/2021_022.jpg\" alt=\"\"><\/p>\n<p><span style=\"font-size: 16px;\">\u53f3\u4e0a\u7684Part_4\u90e8\u5206\u4e3b\u8981\u5305\u542b<strong>\u5e7f\u544a\u66dd\u5149\u4f4d\u6b21<\/strong>\uff08<span>Position Bias<\/span>\uff09\u53ca\u90e8\u5206\u79bb\u6563\u7279\u5f81\uff0c\u4e3b\u8981\u4e3a\u4e86\u63d0\u9ad8\u6a21\u578b\u7684\u8bb0\u5fc6\u6027\uff0c\u5177\u6709\u66f4\u5f3a\u7684\u523b\u753b\u80fd\u529b\u3002Wide\u548cDeep\u90e8\u5206\u7ed3\u5408\uff0c\u5f97\u5230\u6700\u7ec8\u7684\u6a21\u578b\uff1a<\/span><\/p>\n<\/p>\n<p><span style=\"font-size: 16px;\">\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5728\u56fe\u50cf\u8bed\u97f3\u7b49\u6570\u636e\u4e0a\u6709\u663e\u8457\u4f5c\u7528\u7684\u539f\u56e0\u4e4b\u4e00\u662f\uff0c\u6211\u4eec\u5728\u8fd9\u7c7b\u6570\u636e\u4e0a\u4e0d\u592a\u65b9\u4fbf\u4ea7\u51fa\u80fd\u5f88\u597d\u523b\u753b\u573a\u666f\u7684\u7279\u5f81\uff0c\u4eba\u5de5\u7279\u5f81+\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u6a21\u578b\u5e76\u4e0d\u80fd\u5b66\u4e60\u51fa\u6765\u5168\u9762\u5408\u7406\u7684\u6570\u636e\u5206\u5e03\u8868\u793a\uff0c\u800c\u6df1\u5ea6\u5b66\u4e60end-to-end\u7684\u65b9\u5f0f\uff0c\u76f4\u63a5\u7ed3\u5408Label\u53bb\u5b66\u4e60\u5982\u4f55\u4ece\u539f\u59cb\u6570\u636e\u62bd\u53d6\u5408\u9002\u7684\u8868\u8fbe\uff08<span>representation<\/span>\uff09\u3002\u4f46\u662f\u5728\u7f8e\u56e2\u7b49\u7535\u5546\u7684\u4e1a\u52a1\u573a\u666f\u4e0b\uff0c\u8f93\u5165\u7684\u6570\u636e\u5f62\u6001\u975e\u5e38\u4e30\u5bcc\uff0c\u6709\u5f88\u591a\u4e1a\u52a1\u6570\u636e\u6709\u660e\u786e\u7684\u7269\u7406\u542b\u4e49\uff0c\u56e0\u6b64\u4e00\u90e8\u5206\u4eba\u5de5\u7279\u5f81\u5de5\u7a0b\u4e5f\u662f\u5fc5\u8981\u7684\uff0c\u63d0\u524d\u5bf9\u4fe1\u606f\u505a\u4e00\u4e2a\u5408\u7406\u7684\u62bd\u53d6\u8868\u793a\uff0c\u518d\u901a\u8fc7\u795e\u7ecf\u7f51\u7edc\u5b66\u4e60\u8fdb\u884c\u66f4\u597d\u7684\u4fe1\u606f\u878d\u5408\u548c\u8868\u8fbe\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u5728\u7f8e\u56e2\u641c\u7d22\u5e7f\u544a\u7684\u573a\u666f\u4e0b\uff0c\u7528\u6237\u7684\u5b9e\u65f6\u884c\u4e3a\u6709\u975e\u5e38\u5f3a\u7684\u6307\u4ee3\u6027\uff0c\u4f46\u662f\u4ee5\u539f\u59cb\u5f62\u6001\u76f4\u63a5\u9001\u5165\u795e\u7ecf\u7f51\u7edc\uff0c\u4f1a\u635f\u5931\u6389\u5f88\u591a\u4fe1\u606f\uff0c\u56e0\u6b64\u6211\u4eec\u5bf9\u5b83\u8fdb\u884c\u4e86\u4e0d\u540c\u65b9\u5f0f\u63cf\u8ff0\u548c\u8868\u793a\uff0c\u518d\u9001\u5165\u795e\u7ecf\u7f51\u7edc\u4e4b\u4e2d\u8fdb\u884c\u4fe1\u606f\u878d\u5408\u548c\u5b66\u4e60\u3002\u53e6\u4e00\u7c7b\u5f88\u6709\u4f5c\u7528\u7684\u4fe1\u606f\u662f\u56fe\u50cf\u4fe1\u606f\uff0c\u8fd9\u90e8\u5206\u4fe1\u606f\u7684\u4e00\u79cd\u5904\u7406\u65b9\u5f0f\u662f\uff0c\u53ef\u4ee5\u901a\u8fc7end-to-end\u7684\u65b9\u5f0f\uff0c\u7528\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u548cDNN\u8fdb\u884c\u62fc\u63a5\u505a\u4fe1\u606f\u878d\u5408\uff0c\u4f46\u662f\u53ef\u80fd\u4f1a\u6709\u7f51\u7edc\u7684\u590d\u6742\u5ea6\u8fc7\u9ad8\uff0c\u4ee5\u53ca\u8bad\u7ec3\u7684\u6536\u655b\u901f\u5ea6\u7b49\u95ee\u9898\uff0c\u4e5f\u53ef\u4ee5\u9009\u62e9\u7528CNN\u9884\u5148\u62bd\u53d6\u7279\u5f81\uff0c\u518d\u8fdb\u884c\u4fe1\u606f\u878d\u5408\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u4e0b\u9762\u4ee5\u8fd9\u4e24\u7c7b\u6570\u636e\u7279\u5f81\u4e3a\u4f8b\uff0c\u4ecb\u7ecd\u5728Wide &amp; Deep\u6a21\u578b\u4e2d\u7684\u4f7f\u7528\u65b9\u5f0f\u3002<\/span><\/p>\n<ul>\n<li>\u7528\u6237\u5b9e\u65f6\u884c\u4e3a<\/li>\n<ul>\n<li>\u884c\u4e3a\u5b9e\u4f53 \u7528\u6237\u7684\u5b9e\u65f6\u884c\u4e3a\u5305\u62ec\u70b9\u51fb\u5546\u6237\uff08C_P\uff09\u3001\u4e0b\u5355\u5546\u6237\uff08O_P\uff09\u3001\u641c\u7d22\uff08Q\uff09\u3001\u7b5b\u9009\u54c1\u7c7b\uff08S\uff09\u7b49\u3002\u5546\u6237\u7684\u4e0a\u5c42\u5c5e\u6027\u5305\u62ec\u54c1\u7c7b\uff08Type: C_Type, O_Type\uff09\u3001\u4f4d\u7f6e\uff08Loc: C_Loc, O_Loc\uff09\u7b49\u3002<\/li>\n<li>Item Embedding \u5bf9\u7528\u6237\u7684\u884c\u4e3a\u5b9e\u4f53\u6784\u5efaembedding\u5411\u91cf\uff0c\u7136\u540e\u8fdb\u884cSum\/Average\/Weighted Pooling\uff0c\u548c\u5176\u4ed6\u7279\u5f81\u62fc\u63a5\u5728\u4e00\u8d77\u3002\u5b9e\u9a8c\u53d1\u73b0\uff0c\u4e0a\u5c42\u5c5e\u6027\u5b9e\u4f53\uff08C_Type, O_Type, C_Loc, O_Loc\uff09\u7684\u8868\u73b0\u5f88\u6b63\u5411\uff0c\u79bb\u7ebf\u6548\u679c\u6709\u4e86\u5f88\u660e\u663e\u7684\u63d0\u5347\u3002\u4f46\u662fC_P, O_P, Q, S\u8fd9\u4e9b\u5b9e\u4f53\u56e0\u4e3a\u8fc7\u4e8e\u7a00\u758f\uff0c\u5bfc\u81f4\u6a21\u578b\u8fc7\u62df\u5408\u4e25\u91cd\uff0c\u79bb\u7ebf\u6548\u679c\u53d8\u5dee\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u505a\u4e86\u4e24\u65b9\u9762\u7684\u6539\u8fdb\uff1a 1. \u4f7f\u7528\u66f4\u5145\u5206\u7684\u6570\u636e\uff0c\u5355\u72ec\u5bf9\u7528\u6237\u884c\u4e3a\u5e8f\u5217\u5efa\u6a21\u3002\u4f8b\u5982LSTM\u6a21\u578b\uff0c\u57fa\u4e8e\u7528\u6237\u5f53\u524d\u7684\u884c\u4e3a\u5e8f\u5217\uff0c\u6765\u9884\u6d4b\u7528\u6237\u4e0b\u4e00\u65f6\u523b\u7684\u884c\u4e3a\uff0c\u4ece\u4e2d\u5f97\u5230\u5f53\u524d\u65f6\u523b\u7684\u201cMemory\u4fe1\u606f\u201d\uff0c\u4f5c\u4e3a\u5bf9\u7528\u6237\u7684embedding\u8868\u793a\uff1b\u6216Word2Vec\u6a21\u578b\uff0c\u751f\u6210\u884c\u4e3a\u5b9e\u4f53\u7684embedding\u8868\u793a\uff0cDoc2Vec\u6a21\u578b\uff0c\u5f97\u5230\u7528\u6237\u7684embedding\u8868\u793a\u3002\u5b9e\u9a8c\u53d1\u73b0\uff0c\u5c06\u7528\u6237\u7684embedding\u8868\u793a\u52a0\u5165\u5230\u6a21\u578bPart_2\u90e8\u5206\uff0c\u7279\u5f81\u8986\u76d6\u7387\u589e\u52a0\uff0c\u79bb\u7ebf\u6548\u679c\u6709\u4e86\u660e\u663e\u63d0\u5347\uff0c\u800c\u4e14\u7531\u4e8e\u6a21\u578b\u53c2\u6570\u7a7a\u95f4\u589e\u52a0\u5f88\u5c0f\uff0c\u6a21\u578b\u8bad\u7ec3\u7684\u65f6\u95f4\u57fa\u672c\u4e0d\u53d8\u3002 2. \u4f7f\u7528\u4ee5\u4e0a\u65b9\u6cd5\u4ea7\u751f\u7684\u884c\u4e3a\u5b9e\u4f53embedding\u4f5c\u4e3a\u6a21\u578b\u53c2\u6570\u521d\u59cb\u503c\uff0c\u5e76\u5728\u6a21\u578b\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u8fdb\u884cfine tuning\u3002\u540c\u65f6\u4e3a\u4e86\u89e3\u51b3\u8fc7\u62df\u5408\u95ee\u9898\uff0c\u5bf9\u4e0d\u540c\u57df\u7684\u7279\u5f81\u8bbe\u7f6e\u4e0d\u540c\u7684\u9608\u503c\u8fc7\u6ee4\u3002<\/li>\n<\/ul>\n<\/ul>\n<ul>\n<ul>\n<li>\u8ba1\u6570\u7279\u5f81 \u5373\u5bf9\u4e0d\u540c\u884c\u4e3a\u5b9e\u4f53\u53d1\u751f\u7684\u9891\u6b21\uff0c\u5b83\u662f\u5bf9\u884c\u4e3a\u5b9e\u4f53\u66f4\u4e0a\u4e00\u5c42\u7684\u62bd\u8c61\u3002<\/li>\n<li>Pattern\u7279\u5f81 \u7528\u6237\u6700\u8fd1\u671f\u7684\u51e0\u4e2a\u884c\u4e3a\u5b9e\u4f53\u5e8f\u5217\uff08\u4f8b\u5982A-B-C\uff09\u4f5c\u4e3aPattern\u7279\u5f81\uff0c\u5b83\u8868\u793a\u4e86\u884c\u4e3a\u5b9e\u4f53\u4e4b\u95f4\u7684\u987a\u5e8f\u5173\u7cfb\uff0c\u4e5f\u66f4\u7ec6\u7c92\u5ea6\u5730\u63cf\u8ff0\u4e86\u7528\u6237\u7684\u884c\u4e3a\u8f68\u8ff9\u3002<\/li>\n<\/ul>\n<li>\u56fe\u7247<\/li>\n<ul>\n<li>\u63cf\u8ff0 \u5546\u6237\u7684\u5934\u56fe\u5728App\u5546\u54c1\u5c55\u793a\u4e2d\u5360\u636e\u7740\u5f88\u91cd\u8981\u7684\u4f4d\u7f6e\uff0c\u800c\u56fe\u7247\u4e5f\u975e\u5e38\u5438\u5f15\u7528\u6237\u7684\u6ce8\u610f\u529b\u3002<\/li>\n<li>\u56fe\u7247\u5206\u7c7b\u7279\u5f81 \u4f7f\u7528VGG16\u3001Inception V4\u7b49\u8bad\u7ec3\u56fe\u7247\u5206\u7c7b\u6a21\u578b\uff0c\u63d0\u53d6\u56fe\u7247\u7279\u5f81\uff0c\u7136\u540e\u52a0\u5165\u5230CTR\u6a21\u578b\u4e2d\u3002<\/li>\n<li>E2E model \u5c06Wide &amp; Deep\u6a21\u578b\u548c\u56fe\u7247\u5206\u7c7b\u6a21\u578b\u7ed3\u5408\u8d77\u6765\uff0c\u8bad\u7ec3\u7aef\u5230\u7aef\u7684\u7f51\u7edc\u3002<\/li>\n<\/ul>\n<\/ul>\n<p><span style=\"font-size: 16px;\">\u4eceFFM\u6a21\u578b\u5207\u5230Wide &amp; Deep\u6a21\u578b\uff0c\u79ef\u7d2f\u5230\u76ee\u524d\u7684\u6548\u679c\u5982\u4e0b\u6240\u793a\uff0c\u4e3b\u8981\u7684\u63d0\u5347\u6765\u6e90\u4e8e\u6a21\u578b\u7684\u975e\u7ebf\u6027\u8868\u8fbe\u53ca\u5bf9\u66f4\u591a\u7279\u5f81\u7684\u66f4\u5145\u5206\u523b\u753b\u3002<\/span><\/p>\n<\/p>\n<p><span style=\"font-size: 16px;\">DeepFM<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u534e\u4e3a\u8bfa\u4e9a\u65b9\u821f\u56e2\u961f\u7ed3\u5408FM\u76f8\u6bd4LR\u7684\u7279\u5f81\u4ea4\u53c9\u7684\u529f\u80fd\uff0c\u5c06Wide &amp; Deep\u90e8\u5206\u7684LR\u90e8\u5206\u66ff\u6362\u6210FM\u6765\u907f\u514d\u4eba\u5de5\u7279\u5f81\u5de5\u7a0b\uff0c\u4e8e\u662f\u6709\u4e86DeepFM[8]\uff0c\u7f51\u7edc\u7ed3\u6784\u5982\u4e0b\u56fe\u6240\u793a\uff1a<\/span><\/p>\n<\/p>\n<p><span style=\"font-size: 16px;\">\u6bd4\u8d77Wide &amp; Deep\u7684LR\u90e8\u5206\uff0cDeepFM\u91c7\u7528FM\u4f5c\u4e3aWide\u90e8\u5206\u7684\u8f93\u51fa\uff0c\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u5171\u4eab\u4e86\u5bf9\u4e0d\u540cField\u7279\u5f81\u7684embedding\u4fe1\u606f\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u6211\u4eec\u5728\u90e8\u5206\u4e1a\u52a1\u4e0a\u5c1d\u8bd5\u4e86DeepFM\u6a21\u578b\uff0c\u5e76\u8fdb\u884c\u4e86\u8d85\u53c2\u7684\u91cd\u65b0\u8c03\u4f18\uff0c\u53d6\u5f97\u4e86\u4e00\u5b9a\u7684\u6548\u679c\u3002\u5176\u4ed6\u4e1a\u52a1\u4e5f\u5728\u5c1d\u8bd5\u4e2d\u3002\u5177\u4f53\u6548\u679c\u5982\u4e0b\uff1a<\/span><\/p>\n<\/p>\n<p><span style=\"font-size: 16px;\"><strong>Multi-Task<\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u5e7f\u544a\u9884\u4f30\u573a\u666f\u4e2d\u5b58\u5728\u591a\u4e2a\u8bad\u7ec3\u4efb\u52a1\uff0c\u6bd4\u5982CTR\u3001CVR\u3001\u4ea4\u6613\u989d\u7b49\u3002\u65e2\u8003\u8651\u5230\u591a\u4e2a\u4efb\u52a1\u4e4b\u95f4\u7684\u8054\u7cfb\uff0c\u53c8\u8003\u8651\u5230\u4efb\u52a1\u4e4b\u95f4\u7684\u5dee\u522b\uff0c\u6211\u4eec\u5229\u7528Multi-Task Learning\u7684\u601d\u60f3\uff0c\u540c\u65f6\u9884\u4f30\u70b9\u51fb\u7387\u3001\u4e0b\u5355\u7387\uff0c\u6a21\u578b\u7ed3\u6784\u5982\u4e0b\u56fe\u6240\u793a\uff1a<\/span><\/p>\n<\/p>\n<ul>\n<li>\u7531\u4e8eCTR\u3001CVR\u4e24\u4e2a\u4efb\u52a1\u975e\u5e38\u7c7b\u4f3c\uff0c\u6240\u4ee5\u91c7\u7528\u201cHard Parameter Sharing\u201d\u7684\u7ed3\u6784\uff0c\u5b8c\u5168\u5171\u4eab\u7f51\u7edc\u5c42\u7684\u53c2\u6570\uff0c\u53ea\u5728\u8f93\u51fa\u5c42\u533a\u5206\u4e0d\u540c\u7684\u4efb\u52a1\u3002<\/li>\n<li>\u7531\u4e8e\u4e0b\u5355\u884c\u4e3a\u53d7\u5c55\u73b0\u4f4d\u6b21\u7684\u5f71\u54cd\u975e\u5e38\u5c0f\uff0c\u6240\u4ee5\u4e0b\u5355\u7387\u7684\u8f93\u51fa\u5c42\u4e0d\u8003\u8651\u4f4d\u6b21\u504f\u5dee\u7684\u56e0\u7d20\u3002<\/li>\n<li>\u8f93\u51fa\u5c42\u5728\u4e0d\u540c\u4efb\u52a1\u4e0a\u5355\u72ec\u589e\u52a0\u6240\u9700\u7279\u5f81\u3002<\/li>\n<li>\u79bb\u7ebf\u8bad\u7ec3\u548c\u7ebf\u4e0a\u9884\u4f30\u6d41\u7a0b\u51cf\u534a\uff0c\u6027\u80fd\u63d0\u5347\uff1b\u6548\u679c\u4e0a\u76f8\u5bf9\u4e8e\u5355\u6a21\u578b\uff0c\u6548\u679c\u57fa\u672c\u6301\u5e73\uff1a<\/li>\n<\/ul>\n<p><span style=\"font-size: 16px;\">\u8fd1\u671f\uff0c\u963f\u91cc\u53d1\u8868\u8bba\u6587\u201cEntire Space Multi-Task Model\u201d[9]\uff0c\u63d0\u51fa\u76ee\u524dCVR\u9884\u4f30\u4e3b\u8981\u5b58\u5728Sample Selection Bias\uff08<span>SSB<\/span>\uff09\u548cData Sparsity\uff08<span>DS<\/span>\uff09\u4e24\u4e2a\u95ee\u9898\uff0c\u5e76\u63d0\u51fa\u5728\u5168\u5c40\u7a7a\u95f4\u5efa\u6a21\uff08<span>\u4ee5pCTCVR\u548cpCTR\u6765\u4f18\u5316CVR<\/span>\uff09\u548c\u7279\u5f81Transform\u7684\u65b9\u6cd5\u6765\u89e3\u51b3\u3002\u5177\u4f53\u7684Loss Function\u662f\uff1a<\/span><\/p>\n<p style=\"text-align: center;\">\n<p><span style=\"font-size: 16px;\">\u7f51\u7edc\u7ed3\u6784\u662f\uff1a<\/span><\/p>\n<p style=\"text-align: center;\">\n<p><span style=\"font-size: 16px;\">\u8d85\u53c2\u8c03\u4f18<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u9664\u4e86\u4ee5\u4e0a\u5bf9\u7f51\u7edc\u7ed3\u6784\u7684\u5c1d\u8bd5\uff0c\u6211\u4eec\u4e5f\u8fdb\u884c\u4e86\u591a\u7ec4\u8d85\u53c2\u7684\u8c03\u4f18\u3002\u795e\u7ecf\u7f51\u7edc\u6700\u5e38\u7528\u7684\u8d85\u53c2\u8bbe\u7f6e\u6709\uff1a\u9690\u5c42\u5c42\u6570\u53ca\u8282\u70b9\u6570\u3001\u5b66\u4e60\u7387\u3001\u6b63\u5219\u5316\u3001Dropout Ratio\u3001\u4f18\u5316\u5668\u3001\u6fc0\u6d3b\u51fd\u6570\u3001Batch Normalization\u3001Batch Size\u7b49\u3002\u4e0d\u540c\u7684\u53c2\u6570\u5bf9\u795e\u7ecf\u7f51\u7edc\u7684\u5f71\u54cd\u4e0d\u540c\uff0c\u795e\u7ecf\u7f51\u7edc\u5e38\u89c1\u7684\u4e00\u4e9b\u95ee\u9898\u4e5f\u53ef\u4ee5\u901a\u8fc7\u8d85\u53c2\u7684\u8bbe\u7f6e\u6765\u89e3\u51b3\uff1a<\/span><\/p>\n<ul>\n<li>\u8fc7\u62df\u5408<\/li>\n<ul>\n<li>\u7f51\u7edc\u5bbd\u5ea6\u6df1\u5ea6\u9002\u5f53\u8c03\u5c0f\uff0c\u6b63\u5219\u5316\u53c2\u6570\u9002\u5f53\u8c03\u5927\uff0cDropout Ratio\u9002\u5f53\u8c03\u5927\u7b49\u3002<\/li>\n<\/ul>\n<li>\u6b20\u62df\u5408<\/li>\n<ul>\n<li>\u7f51\u7edc\u5bbd\u5ea6\u6df1\u5ea6\u9002\u5f53\u8c03\u5927\uff0c\u6b63\u5219\u5316\u53c2\u6570\u8c03\u5c0f\uff0c\u5b66\u4e60\u7387\u51cf\u5c0f\u7b49\u3002<\/li>\n<\/ul>\n<li>\u68af\u5ea6\u6d88\u5931\/\u7206\u70b8\u95ee\u9898<\/li>\n<ul>\n<li>\u5408\u9002\u7684\u6fc0\u6d3b\u51fd\u6570\uff0c\u6dfb\u52a0Batch Normalization\uff0c\u7f51\u7edc\u5bbd\u5ea6\u6df1\u5ea6\u53d8\u5c0f\u7b49\u3002<\/li>\n<\/ul>\n<li>\u5c40\u90e8\u6700\u4f18\u89e3<\/li>\n<ul>\n<li>\u8c03\u5927Learning Rate\uff0c\u5408\u9002\u7684\u4f18\u5316\u5668\uff0c\u51cf\u5c0fBatch Size\u7b49\u3002<\/li>\n<\/ul>\n<li>Covariate Shift<\/li>\n<ul>\n<li>\u589e\u52a0Batch Normalization\uff0c\u7f51\u7edc\u5bbd\u5ea6\u6df1\u5ea6\u53d8\u5c0f\u7b49\u3002<\/li>\n<\/ul>\n<\/ul>\n<p><span style=\"font-size: 16px;\">\u5f71\u54cd\u795e\u7ecf\u7f51\u7edc\u7684\u8d85\u53c2\u6570\u975e\u5e38\u591a\uff0c\u795e\u7ecf\u7f51\u7edc\u8c03\u53c2\u4e5f\u662f\u4e00\u4ef6\u975e\u5e38\u91cd\u8981\u7684\u4e8b\u60c5\u3002\u5de5\u4e1a\u754c\u6bd4\u8f83\u5b9e\u7528\u7684\u8c03\u53c2\u65b9\u6cd5\u5305\u62ec\uff1a<\/span><\/p>\n<ul>\n<li>\u7f51\u683c\u641c\u7d22\/Grid Search\uff1a\u8fd9\u662f\u5728\u673a\u5668\u5b66\u4e60\u6a21\u578b\u8c03\u53c2\u65f6\u6700\u5e38\u7528\u5230\u7684\u65b9\u6cd5\uff0c\u5bf9\u6bcf\u4e2a\u8d85\u53c2\u6570\u90fd\u6572\u5b9a\u51e0\u4e2a\u8981\u5c1d\u8bd5\u7684\u5019\u9009\u503c\uff0c\u5f62\u6210\u4e00\u4e2a\u7f51\u683c\uff0c\u628a\u6240\u6709\u8d85\u53c2\u6570\u7f51\u683c\u4e2d\u7684\u7ec4\u5408\u904d\u5386\u4e00\u4e0b\u5c1d\u8bd5\u6548\u679c\u3002\u7b80\u5355\u66b4\u529b\uff0c\u5982\u679c\u80fd\u5168\u90e8\u904d\u5386\u7684\u8bdd\uff0c\u7ed3\u679c\u6bd4\u8f83\u53ef\u9760\u3002\u4f46\u662f\u65f6\u95f4\u5f00\u9500\u6bd4\u8f83\u5927\uff0c\u795e\u7ecf\u7f51\u7edc\u7684\u573a\u666f\u4e0b\u4e00\u822c\u5c1d\u8bd5\u4e0d\u4e86\u592a\u591a\u7684\u53c2\u6570\u7ec4\u5408\u3002<\/li>\n<li>\u968f\u673a\u641c\u7d22\/Random Search\uff1aBengio\u5728\u201cRandom Search for Hyper-Parameter Optimization\u201d[10]\u4e2d\u6307\u51fa\uff0cRandom Search\u6bd4Grid Search\u66f4\u6709\u6548\u3002\u5b9e\u9645\u64cd\u4f5c\u7684\u65f6\u5019\uff0c\u53ef\u4ee5\u5148\u7528Grid Search\u7684\u65b9\u6cd5\uff0c\u5f97\u5230\u6240\u6709\u5019\u9009\u53c2\u6570\uff0c\u7136\u540e\u6bcf\u6b21\u4ece\u4e2d\u968f\u673a\u9009\u62e9\u8fdb\u884c\u8bad\u7ec3\u3002\u8fd9\u79cd\u65b9\u5f0f\u7684\u4f18\u70b9\u662f\u56e0\u4e3a\u91c7\u6837\uff0c\u65f6\u95f4\u5f00\u9500\u53d8\u5c0f\uff0c\u4f46\u53e6\u4e00\u65b9\u9762\uff0c\u4e5f\u6709\u53ef\u80fd\u4f1a\u9519\u8fc7\u8f83\u4f18\u7684\u8d85\u53c2\u6570\u7ec4\u5408\u3002<\/li>\n<li>\u5206\u9636\u6bb5\u8c03\u53c2\uff1a\u5148\u8fdb\u884c\u521d\u6b65\u8303\u56f4\u641c\u7d22\uff0c\u7136\u540e\u6839\u636e\u597d\u7ed3\u679c\u51fa\u73b0\u7684\u5730\u65b9\uff0c\u518d\u7f29\u5c0f\u8303\u56f4\u8fdb\u884c\u66f4\u7cbe\u7ec6\u7684\u641c\u7d22\u3002\u6216\u8005\u6839\u636e\u7ecf\u9a8c\u503c\u56fa\u5b9a\u4f4f\u5176\u4ed6\u7684\u8d85\u53c2\u6570\uff0c\u6709\u9488\u5bf9\u5730\u5b9e\u9a8c\u5176\u4e2d\u4e00\u4e2a\u8d85\u53c2\u6570\uff0c\u9010\u6b21\u8fed\u4ee3\u76f4\u81f3\u5b8c\u6210\u6240\u6709\u8d85\u53c2\u6570\u7684\u9009\u62e9\u3002\u8fd9\u4e2a\u65b9\u5f0f\u7684\u4f18\u70b9\u662f\u53ef\u4ee5\u5728\u4f18\u5148\u5c1d\u8bd5\u6b21\u6570\u4e2d\uff0c\u62ff\u5230\u6548\u679c\u8f83\u597d\u7684\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<p><span style=\"font-size: 16px;\">\u6211\u4eec\u5728\u5b9e\u9645\u8c03\u53c2\u8fc7\u7a0b\u4e2d\uff0c\u4f7f\u7528\u7684\u662f\u7b2c3\u79cd\u65b9\u5f0f\uff0c\u5728\u6839\u636e\u7ecf\u9a8c\u53c2\u6570\u521d\u59cb\u5316\u8d85\u53c2\u6570\u4e4b\u540e\uff0c\u6309\u7167\u9690\u5c42\u5927\u5c0f-&gt;\u5b66\u4e60\u7387-&gt;Batch Size-&gt;Drop out\/L1\/L2\u7684\u987a\u5e8f\u8fdb\u884c\u53c2\u6570\u8c03\u4f18\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u5728\u641c\u7d22\u5e7f\u544a\u6570\u636e\u96c6\u4e0a\uff0c\u4e0d\u540c\u8d85\u53c2\u7684\u5b9e\u9a8c\u7ed3\u679c\u5982\u4e0b\uff1a<\/span><\/p>\n<p style=\"text-align: center;\">\n<p><span style=\"font-size: 16px;\"><strong>2.3 \u5c0f\u7ed3<\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u641c\u7d22\u5e7f\u544a\u6392\u5e8f\u6a21\u578b\u7ecf\u5386\u4e86\u4eceGBDT &#8211;&gt; FFM &#8211;&gt; DNN\u7684\u8fed\u4ee3\uff0c\u540c\u65f6\u6784\u5efa\u4e86\u66f4\u52a0\u5b8c\u5584\u7684\u7279\u5f81\u4f53\u7cfb\uff0c\u7ebf\u4e0bAUC\u7d2f\u79ef\u63d0\u534713%\uff0b\uff0c\u7ebf\u4e0aCTR\u7d2f\u79ef\u63d0\u534715%\uff0b\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\"><strong>\u4e09\u3001\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u5de5\u7a0b\u4f18\u5316<\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\"><strong>3.1 \u7ebf\u4e0b\u8bad\u7ec3<\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\">TensorFlow\u7a0b\u5e8f\u5982\u679c\u5355\u673a\u8fd0\u884c\u4e2d\u51fa\u73b0\u6027\u80fd\u95ee\u9898\uff0c\u4e00\u822c\u4f1a\u6709\u4ee5\u4e0b\u51e0\u79cd\u95ee\u9898\uff1a<\/span><\/p>\n<ol>\n<li>\u590d\u6742\u7684\u9884\u5904\u7406\u903b\u8f91\u8026\u5408\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u3002<\/li>\n<li>\u9009\u62e9\u6b63\u786e\u7684IO\u65b9\u5f0f\u3002<\/li>\n<\/ol>\n<p><span style=\"font-size: 16px;\"><strong>\u5265\u79bb\u9884\u5904\u7406\u6d41\u7a0b<\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u5728\u6a21\u578b\u7684\u8bd5\u9a8c\u9636\u6bb5\uff0c\u4e3a\u4e86\u5feb\u901f\u8bd5\u9a8c\uff0c\u6570\u636e\u9884\u5904\u7406\u903b\u8f91\u4e0e\u6a21\u578b\u8bad\u7ec3\u90e8\u5206\u90fd\u8026\u5408\u5728\u4e00\u8d77\uff0c\u800c\u6570\u636e\u9884\u5904\u7406\u5305\u542b\u5927\u91cfIO\u7c7b\u578b\u64cd\u4f5c\uff0c\u6240\u4ee5\u5f88\u9002\u5408\u7528HadoopMR\u6216\u8005Spark\u5904\u7406\u3002\u5177\u4f53\u6d41\u7a0b\u5982\u4e0b\uff1a<\/span><\/p>\n<ol>\n<li>\u5728\u9884\u5904\u7406\u9636\u6bb5\u5c06\u67e5\u8868\u3001join\u5b57\u5178\u7b49\u64cd\u4f5c\u90fd\u505a\u5b8c\uff0c\u5e76\u4e14\u5c06\u67e5\u8be2\u7ed3\u679c\u4e0e\u539f\u59cb\u6570\u636emerge\u5728\u4e00\u8d77\u3002<\/li>\n<li>\u5c06libfm\u683c\u5f0f\u7684\u6570\u636e\u8f6c\u4e3a\u6613\u4e8eTensorFlow\u64cd\u4f5c\u7684SparseTensor\u65b9\u5f0f\uff1a<\/li>\n<li>\u5c06\u539f\u59cb\u6570\u636e\u8f6c\u6362\u4e3aTensorFlow Record\u3002<\/li>\n<\/ol>\n<p><span style=\"font-size: 16px;\"><strong>\u9009\u62e9\u6b63\u786e\u7684IO\u65b9\u5f0f<\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\">TensorFlow\u8bfb\u53d6\u6570\u636e\u7684\u65b9\u5f0f\u4e3b\u8981\u67092\u79cd\uff0c\u4e00\u822c\u9009\u62e9\u9519\u8bef\u4f1a\u9020\u6210\u6027\u80fd\u95ee\u9898\uff0c\u4e24\u79cd\u65b9\u5f0f\u4e3a\uff1a<\/span><\/p>\n<ol>\n<li>Feed_dict \u901a\u8fc7feed_dict\u5c06\u6570\u636e\u5582\u7ed9session.run\u51fd\u6570\uff0c\u8fd9\u79cd\u65b9\u5f0f\u7684\u597d\u5904\u662f\u601d\u8def\u5f88\u6e05\u6670\uff0c\u6613\u4e8e\u7406\u89e3\u3002\u7f3a\u70b9\u662f\u6027\u80fd\u5dee\uff0c\u6027\u80fd\u5dee\u7684\u539f\u56e0\u662ffeed\u7ed9session\u7684\u6570\u636e\u9700\u8981\u5728session.run\u4e4b\u524d\u51c6\u5907\u597d\uff0c\u5982\u679c\u4e4b\u524d\u8fd9\u4e2a\u6570\u636e\u6ca1\u6709\u8fdb\u5165\u5185\u5b58\uff0c\u90a3\u4e48\u5c31\u9700\u8981\u7b49\u5f85\u6570\u636e\u8fdb\u5165\u5185\u5b58\uff0c\u800c\u5728\u5b9e\u9645\u573a\u666f\u4e2d\uff0c\u8fd9\u4e0d\u4ec5\u4ec5\u662f\u7b49\u5f85\u6570\u636e\u4ece\u78c1\u76d8\u6216\u8005\u7f51\u7edc\u8fdb\u5165\u5185\u5b58\u7684\u4e8b\u60c5\uff0c\u8fd8\u53ef\u80fd\u5305\u62ec\u5f88\u591a\u524d\u671f\u9884\u5904\u7406\u7684\u5de5\u4f5c\u4e5f\u5728\u8fd9\u91cc\u505a\uff0c\u6240\u4ee5\u76f8\u5f53\u4e8e\u4e00\u4e2a\u4e32\u884c\u8fc7\u7a0b\u3002\u800c\u6570\u636e\u8fdb\u5165\u5185\u5b58\u540e\uff0c\u8fd8\u8981\u4e32\u884c\u7684\u8c03\u7528PyArrayToTF_Tensor\uff0c\u5c06\u5176copy\u6210tensorflow\u7684tensorValue\u3002\u6b64\u65f6\uff0cGPU\u663e\u5b58\u5904\u4e8e\u7b49\u5f85\u72b6\u6001\uff0c\u540c\u65f6\uff0c\u7531\u4e8etf\u7684Graph\u4e2d\u7684input\u4e3a\u7a7a\uff0c\u6240\u4ee5CPU\u4e5f\u5904\u4e8e\u7b49\u5f85\u72b6\u6001\uff0c\u65e0\u6cd5\u8fd0\u7b97\u3002<\/li>\n<li>RecordReader \u8fd9\u79cd\u65b9\u5f0f\u662ftf\u5728Graph\u4e2d\u5c06\u8bfb\u53d6\u6570\u636e\u8fd9\u4e2a\u64cd\u4f5c\u770b\u505a\u56fe\u4e2d\u4e00\u4e2aoperation\u8282\u70b9\uff0c\u51cf\u5c11\u4e86\u4e00\u4e2acopy\u7684\u8fc7\u7a0b\u3002\u540c\u65f6\uff0c\u5728tf\u4e2d\u8fd8\u6709batch\u4e0ethreads\u7684\u6982\u5ff5\uff0c\u53ef\u4ee5\u5f02\u6b65\u7684\u8bfb\u53d6\u6570\u636e\uff0c\u4fdd\u8bc1\u5728GPU\u6216\u8005CPU\u8fdb\u884c\u8ba1\u7b97\u7684\u65f6\u5019\uff0c\u8bfb\u53d6\u6570\u636e\u8fd9\u4e2a\u64cd\u4f5c\u4e5f\u53ef\u4ee5\u591a\u7ebf\u7a0b\u5f02\u6b65\u6267\u884c\u3002\u9759\u6001\u56fe\u4e2d\u5404\u4e2a\u8282\u70b9\u95f4\u7684\u963b\u585e\uff1a\u5728\u4e00\u4e2a\u590d\u6742\u7684DAG\u8ba1\u7b97\u56fe\u4e2d\uff0c\u5982\u679c\u6709\u4e00\u4e2a\u70b9\u8ba1\u7b97\u6bd4\u8f83\u6162\u65f6\uff0c\u4f1a\u9020\u6210\u963b\u585e\uff0c\u4e0b\u6e38\u8282\u70b9\u4e0d\u5f97\u4e0d\u7b49\u5f85\u3002\u6b64\u65f6\uff0c\u9996\u5148\u8981\u8003\u8651\u7684\u95ee\u9898\u662f\u56fe\u4e2d\u8282\u70b9\u53c2\u6570\u6240\u5b58\u50a8\u7684\u4f4d\u7f6e\u662f\u5426\u6b63\u786e\u3002\u6bd4\u5982\u5982\u679c\u67d0\u4e2a\u8ba1\u7b97\u8282\u70b9\u662f\u5728GPU\u4e0a\u8fd0\u7b97\uff0c\u90a3\u4e48\u5982\u679c\u8fd9\u4e2a\u8282\u70b9\u6240\u6709\u4f9d\u8d56\u7684variable\u5bf9\u8c61\u58f0\u660e\u5728CPU\u4e0a\uff0c\u90a3\u4e48\u5c31\u8981\u505a\u4e00\u6b21memcpy\uff0c\u5c06\u5176\u4ece\u5185\u5b58\u4e2dcopy\u5230GPU\u4e0a\u3002\u56e0\u4e3aGPU\u8ba1\u7b97\u7684\u5f88\u5feb\uff0c\u6240\u4ee5\u5927\u90e8\u5206\u65f6\u95f4\u82b1\u5728\u62f7\u8d1d\u4e0a\u4e86\u3002\u603b\u4e4b\uff0c\u5982\u679c\u7f51\u7edc\u6a21\u578b\u6bd4\u8f83\u7b80\u5355\uff0c\u90a3\u4e48\u8fd9\u79cd\u64cd\u4f5c\u5c31\u4f1a\u975e\u5e38\u81f4\u547d\uff1b\u5982\u679c\u7f51\u7edc\u7ed3\u6784\u590d\u6742\uff0c\u6bd4\u5982\u7f51\u7edc\u5c42\u6b21\u975e\u5e38\u6df1\uff0c\u90a3\u4e48\u8fd9\u4e2a\u95ee\u9898\u5012\u4e0d\u662f\u592a\u5927\u7684\u95ee\u9898\u4e86\u3002<\/li>\n<\/ol>\n<p><span style=\"font-size: 16px;\">\u5728\u8fd9\u4e2aCase\u4e2d\uff0c\u56e0\u4e3a\u9700\u8981\u63d0\u5347\u541e\u5410\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u5728\u8bd5\u9a8c\u9636\u6bb5\u3002\u6240\u4ee5\u9700\u8981\u7528RecordReader\u65b9\u5f0f\u5904\u7406\u6570\u636e\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\"><strong><span>\u4f18\u5316\u8fc7\u7a0b<\/span><\/strong><\/span><\/p>\n<ol>\n<li>\u5c06\u6574\u4f53\u7a0b\u5e8f\u4e2d\u7684\u9884\u5904\u7406\u90e8\u5206\u4ece\u4ee3\u7801\u4e2d\u53bb\u9664\uff0c\u76f4\u63a5\u7528Map-Reduce\u6279\u5904\u7406\u53bb\u505a\uff08\u56e0\u4e3a\u6279\u5904\u7406\u53ef\u4ee5\u5c06\u6570\u636e\u5206\u6563\u53bb\u505a\uff0c\u6240\u4ee5\u6027\u80fd\u975e\u5e38\u597d\uff0c2\u4ebf\u7684\u6570\u636e\u5206\u6563\u52304900\u591a\u4e2amap\u4e2d\uff0c\u5927\u6982\u5904\u7406\u4e8615\u5206\u949f\u5de6\u53f3\uff09\u3002<\/li>\n<li>MR\u8f93\u51fa\u4e3aTensorFlow Record\u683c\u5f0f\uff0c\u907f\u514d\u4f7f\u7528Feed_dict\u3002<\/li>\n<li>\u6570\u636e\u9884\u8bfb\uff0c\u4e5f\u5c31\u662f\u7528\u591a\u8fdb\u7a0b\u7684\u65b9\u5f0f\uff0c\u5c06HDFS\u4e0a\u9884\u5904\u7406\u597d\u7684\u6570\u636e\u62c9\u53d6\u5230\u672c\u5730\u78c1\u76d8\uff08\u4f7f\u7528joblib\u5e93+shell\u5c06HDFS\u6570\u636e\u7528\u591a\u8fdb\u7a0b\u7684\u65b9\u5f0f\u62c9\u53d6\u5230\u672c\u5730\uff0c\u57fa\u672c\u53ef\u4ee5\u6253\u6ee1\u8282\u70b9\u5e26\u5bbd2.4GB\/s\uff0c\u6240\u4ee5\uff0c\u62c9\u53d6\u6570\u636e\u4e5f\u53ef\u4ee5\u572810\u5206\u949f\u5185\u5b8c\u6210\uff09\u3002<\/li>\n<li>\u7a0b\u5e8f\u901a\u8fc7TensorFlow\u63d0\u4f9b\u7684TFrecordReader\u7684\u65b9\u5f0f\u8bfb\u53d6\u672c\u5730\u78c1\u76d8\u4e0a\u7684\u6570\u636e\uff0c\u8fd9\u90e8\u5206\u7684\u6027\u80fd\u63d0\u5347\u662f\u6700\u4e3a\u660e\u663e\u7684\u3002\u539f\u6709\u7684\u7a0b\u5e8f\u5904\u7406\u6570\u636e\u7684\u6027\u80fd\u5927\u6982\u662f1000\u6761\/\u79d2\uff0c\u800c\u901a\u8fc7TFrecordReader\u8bfb\u53d6\u6570\u636e\u5e76\u4e14\u5904\u7406\uff0c\u6027\u80fd\u5927\u6982\u662f18000\u6761\/\u79d2\uff0c\u6027\u80fd\u5927\u6982\u63d0\u5347\u4e8618\u500d\u3002<\/li>\n<li>\u7531\u4e8e\u6bcf\u6b21run\u7684\u65f6\u5019\u8ba1\u7b97\u90fd\u8981\u7b49\u5f85TFrecordReader\u8bfb\u51fa\u6570\u636e\uff0c\u800c\u6ca1\u7528\u5229\u7528batch\u7684\u65b9\u5f0f\u3002\u5982\u679c\u7528\u591a\u7ebf\u7a0bbatch\u53ef\u4ee5\u5728\u8ba1\u7b97\u671f\u95f4\u5f02\u6b65\u8bfb\u53d6\u6570\u636e\u3002\u5728TensorFlow\u6240\u6709\u4f8b\u5b50\u4e2d\u90fd\u662f\u4f7f\u7528TFRecordReader\u7684read\u63a5\u53e3\u53bb\u8bfb\u53d6\u6570\u636e\uff0c\u518d\u7528batch\u5c06\u6570\u636e\u591a\u7ebf\u7a0b\u6293\u8fc7\u6765\u3002\u4f46\u662f\uff0c\u5176\u5b9e\u8fd9\u6837\u505a\u52a0\u901f\u5f88\u6162\u3002\u9700\u8981\u4f7f\u7528TFRecordReader\u7684read_up_to\u7684\u65b9\u6cd5\u914d\u5408batch\u7684equeue_many=True\u7684\u53c2\u6570\uff0c\u624d\u53ef\u4ee5\u505a\u5230\u6700\u5927\u7684\u52a0\u901f\u6bd4\u3002\u4f7f\u7528tf.train.batch\u7684API\u540e\uff0c\u6027\u80fd\u63d0\u5347\u4e8638\u500d\u3002<\/li>\n<\/ol>\n<p><span style=\"font-size: 16px;\">\u6b64\u65f6\uff0c\u6027\u80fd\u5df2\u7ecf\u57fa\u672c\u8fbe\u5230\u6211\u4eec\u7684\u9884\u671f\u4e86\u3002\u4f8b\u5982\u6574\u4f53\u6570\u636e\u91cf\u662f2\u4ebf\uff0c\u6309\u7167\u4ee5\u524d\u7684\u6027\u80fd\u8ba1\u7b971000\u6761\/\u79d2\uff0c\u5927\u6982\u9700\u8981\u8fd0\u884c55\u4e2a\u5c0f\u65f6\u3002\u800c\u73b0\u5728\u5927\u6982\u9700\u8981\u8fd0\u884c87\u5206\u949f\uff0c\u518d\u52a0\u4e0a\u9884\u5904\u7406\uff08<span>15\u5206\u949f<\/span>\uff09\u4e0e\u9884\u62c9\u53d6\u6570\u636e\uff08<span>10\u5206\u949f<\/span>\uff09\u7684\u65f6\u95f4\uff0c\u5728\u4e0d\u589e\u52a0\u4efb\u4f55\u8ba1\u7b97\u8d44\u6e90\u7684\u60c5\u51b5\u4e0b\u5927\u6982\u9700\u89812\u4e2a\u5c0f\u65f6\u4ee5\u5185\u3002\u800c\u5982\u679c\u662f\u5e76\u884c\u5904\u7406\uff0c\u5219\u53ef\u4ee5\u5728\u5206\u949f\u7ea7\u5b8c\u6210\u8bad\u7ec3\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\"><strong>3.2 \u7ebf\u4e0a\u9884\u4f30<\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u7ebf\u4e0a\u6d41\u91cf\u662f\u6a21\u578b\u6548\u679c\u7684\u8bd5\u91d1\u77f3\u3002\u79bb\u7ebf\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u53ea\u6709\u53c2\u4e0e\u5230\u7ebf\u4e0a\u771f\u5b9e\u6d41\u91cf\u9884\u4f30\uff0c\u624d\u80fd\u53d1\u6325\u5176\u4ef7\u503c\u3002\u5728\u6f14\u5316\u7684\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u5957\u7a33\u5b9a\u53ef\u9760\u7684\u7ebf\u4e0a\u9884\u4f30\u4f53\u7cfb\uff0c\u63d0\u9ad8\u4e86\u6a21\u578b\u8fed\u4ee3\u7684\u6548\u7387\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u6a21\u578b\u540c\u6b65<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u4e2a\u9ad8\u53ef\u7528\u7684\u540c\u6b65\u7ec4\u4ef6\uff1a\u7528\u6237\u53ea\u9700\u8981\u63d0\u4f9b\u7ebf\u4e0b\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u7684HDFS\u8def\u5f84\uff0c\u8be5\u7ec4\u4ef6\u4f1a\u81ea\u52a8\u540c\u6b65\u5230\u7ebf\u4e0a\u670d\u52a1\u673a\u5668\u4e0a\u3002\u8be5\u7ec4\u4ef6\u57fa\u4e8eHTTPFS\u5b9e\u73b0\uff0c\u5b83\u662f\u7f8e\u56e2\u79bb\u7ebf\u8ba1\u7b97\u7ec4\u63d0\u4f9b\u7684HDFS\u7684HTTP\u65b9\u5f0f\u8bbf\u95ee\u63a5\u53e3\u3002\u540c\u6b65\u8fc7\u7a0b\u5982\u4e0b\uff1a<\/span><\/p>\n<ol>\n<li>\u540c\u6b65\u524d\uff0c\u68c0\u67e5\u6a21\u578bmd5\u6587\u4ef6\uff0c\u53ea\u6709\u8be5\u6587\u4ef6\u66f4\u65b0\u4e86\uff0c\u624d\u9700\u8981\u540c\u6b65\u3002<\/li>\n<li>\u540c\u6b65\u65f6\uff0c\u968f\u673a\u94fe\u63a5HTTPFS\u673a\u5668\u5e76\u9650\u5236\u4e0b\u8f7d\u901f\u5ea6\u3002<\/li>\n<li>\u540c\u6b65\u540e\uff0c\u6821\u9a8c\u6a21\u578b\u6587\u4ef6md5\u503c\u5e76\u5907\u4efd\u65e7\u6a21\u578b\u3002<\/li>\n<\/ol>\n<p><span style=\"font-size: 16px;\">\u540c\u6b65\u8fc7\u7a0b\u4e2d\uff0c\u5982\u679c\u53d1\u751f\u9519\u8bef\u6216\u8005\u8d85\u65f6\uff0c\u90fd\u4f1a\u89e6\u53d1\u62a5\u8b66\u5e76\u91cd\u8bd5\u3002\u4f9d\u8d56\u8fd9\u4e00\u7ec4\u4ef6\uff0c\u6211\u4eec\u5b9e\u73b0\u4e86\u57282min\u5185\u53ef\u9760\u7684\u5c06\u6a21\u578b\u6587\u4ef6\u540c\u6b65\u5230\u7ebf\u4e0a\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u6a21\u578b\u8ba1\u7b97<\/span><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.fagao.me\/images\/uploads\/F030.png\" alt=\"\"><\/p>\n<p><span style=\"font-size: 16px;\">\u5f53\u524d\u6211\u4eec\u7ebf\u4e0a\u6709\u4e24\u5957\u5e76\u884c\u7684\u9884\u4f30\u8ba1\u7b97\u670d\u52a1\u3002<\/span><\/p>\n<ul>\n<li>\u57fa\u4e8eTF Serving\u7684\u6a21\u578b\u670d\u52a1<\/li>\n<\/ul>\n<p><span style=\"font-size: 16px;\">TF Serving\u662fTensorFlow\u5b98\u65b9\u63d0\u4f9b\u7684\u4e00\u5957\u7528\u4e8e\u5728\u7ebf\u5b9e\u65f6\u9884\u4f30\u7684\u6846\u67b6\u3002\u5b83\u7684\u7a81\u51fa\u4f18\u70b9\u662f\uff1a\u548cTensorFlow\u65e0\u7f1d\u94fe\u63a5\uff0c\u5177\u6709\u5f88\u597d\u7684\u6269\u5c55\u6027\u3002\u4f7f\u7528TF serving\u53ef\u4ee5\u5feb\u901f\u652f\u6301RNN\u3001LSTM\u3001GAN\u7b49\u591a\u79cd\u7f51\u7edc\u7ed3\u6784\uff0c\u800c\u4e0d\u9700\u8981\u989d\u5916\u5f00\u53d1\u4ee3\u7801\u3002\u8fd9\u975e\u5e38\u6709\u5229\u4e8e\u6211\u4eec\u6a21\u578b\u5feb\u901f\u5b9e\u9a8c\u548c\u8fed\u4ee3\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u4f7f\u7528\u8fd9\u79cd\u65b9\u5f0f\uff0c\u7ebf\u4e0a\u670d\u52a1\u9700\u8981\u5c06\u7279\u5f81\u53d1\u9001\u7ed9TF Serving\uff0c\u8fd9\u4e0d\u53ef\u907f\u514d\u5f15\u5165\u4e86\u7f51\u7edcIO\uff0c\u7ed9\u5e26\u5bbd\u548c\u9884\u4f30\u65f6\u5ef6\u5e26\u6765\u538b\u529b\u3002\u6211\u4eec\u5c1d\u8bd5\u4e86\u4ee5\u4e0b\u4f18\u5316\uff0c\u6548\u679c\u663e\u8457\u3002<\/span><\/p>\n<ol>\n<li>\u5e76\u53d1\u8bf7\u6c42\u3002\u4e00\u4e2a\u8bf7\u6c42\u4f1a\u53ec\u56de\u5f88\u591a\u7b26\u5408\u6761\u4ef6\u7684\u5e7f\u544a\u3002\u5728\u5ba2\u6237\u7aef\u591a\u4e2a\u5e7f\u544a\u5e76\u53d1\u8bf7\u6c42TF Serving\uff0c\u53ef\u4ee5\u6709\u6548\u964d\u4f4e\u6574\u4f53\u9884\u4f30\u65f6\u5ef6\u3002<\/li>\n<li>\u7279\u5f81ID\u5316\u3002\u901a\u8fc7\u5c06\u5b57\u7b26\u4e32\u7c7b\u578b\u7684\u7279\u5f81\u540d\u54c8\u5e0c\u523064\u4f4d\u6574\u578b\u7a7a\u95f4\uff0c\u53ef\u4ee5\u6709\u6548\u51cf\u5c11\u4f20\u8f93\u7684\u6570\u636e\u91cf\uff0c\u964d\u4f4e\u4f7f\u7528\u7684\u5e26\u5bbd\u3002<\/li>\n<\/ol>\n<p><span style=\"font-size: 16px;\">TF Serving\u670d\u52a1\u7aef\u7684\u6027\u80fd\u5dee\u5f3a\u4eba\u610f\u3002\u5728\u5178\u578b\u7684\u4e94\u5c42\u7f51\u7edc\uff08<span>512*256*256*256*128<\/span>\uff09\u4e0b\uff0c\u5355\u4e2a\u5e7f\u544a\u7684\u9884\u4f30\u65f6\u5ef6\u7ea64800<span>\u03bc<\/span><span>s\uff0c\u5177\u4f53\u89c1\u4e0b\u56fe\uff1a<\/span><\/span><\/p>\n<\/p>\n<ul>\n<li>\u5b9a\u5236\u7684\u6a21\u578b\u8ba1\u7b97\u5b9e\u73b0<\/li>\n<\/ul>\n<p><span style=\"font-size: 16px;\">\u7531\u4e8e\u5e7f\u544a\u7ebf\u4e0a\u670d\u52a1\u9700\u8981\u6781\u9ad8\u7684\u6027\u80fd\uff0c\u5bf9\u4e8e\u4e3b\u6d41\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u6211\u4eec\u4e5f\u5b9a\u5236\u5f00\u53d1\u4e86\u5177\u4f53\u8ba1\u7b97\u5b9e\u73b0\u3002\u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u9488\u5bf9\u6027\u7684\u4f18\u5316\uff0c\u5e76\u907f\u514dTF Serving\u4e0d\u5fc5\u8981\u7684\u7279\u5f81\u8f6c\u6362\u548c\u7ebf\u7a0b\u540c\u6b65\uff0c\u4ece\u800c\u63d0\u9ad8\u670d\u52a1\u6027\u80fd\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u4f8b\u5982\u5168\u8fde\u63a5DNN\u6a21\u578b\u4e2d\u4f7f\u7528Relu\u4f5c\u4e3a\u6fc0\u6d3b\u51fd\u6570\u65f6\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u6eda\u52a8\u6570\u7ec4\u3001\u526a\u679d\u3001\u5bc4\u5b58\u5668\u548cCPU Cache\u7b49\u4f18\u5316\u6280\u5de7\uff0c\u5177\u4f53\u5982\u4e0b\uff1a<\/span><\/p>\n<p><span style=\"font-size: 16px;\"><\/span><span style=\"font-size: 16px;\"><span>\/\/ \u6eda\u52a8\u6570\u7ec4<\/span><\/span><\/p>\n<p><span>int<\/span>nextLayerIndex = currentLayerIndex ^ <span>1<\/span>;<\/p>\n<p>System.arraycopy(bias, bOff, data[nextLayerIndex], <span>0<\/span>, nextLayerSize);<\/p>\n<p><span>for<\/span>(<span>int<\/span>i = <span>0<\/span>; i &lt; currentLayerSize; i ++) {<\/p>\n<p><span>float<\/span><span>value<\/span>= data[currentLayerIndex][i];<\/p>\n<p><span>\/\/ \u526a\u679d<\/span><\/p>\n<p><span>if<\/span>(<span>value<\/span>&gt; <span>0.0<\/span>) {<\/p>\n<p><span>\/\/ \u5bc4\u5b58\u5668<\/span><\/p>\n<p><span>int<\/span>index = wOff + i * nextLayerSize;<\/p>\n<p><span>\/\/ CPU \u7f13\u5b58\u53cb\u597d<\/span><\/p>\n<p><span>for<\/span>(<span>int<\/span>j = <span>0<\/span>; j &lt; nextLayerSize; j++) {<\/p>\n<p>data[nextLayerIndex][j] += <span>value<\/span>* weights[index + j];<\/p>\n<p>}<\/p>\n<p>}<\/p>\n<p>}<\/p>\n<p><span>for<\/span>(<span>int<\/span>i = <span>0<\/span>; i &lt; nextLayerSize; k++) {<\/p>\n<p>data[nextArrayIndex][i] = ReLu(data[nextArrayIndex][i]);<\/p>\n<p>}<\/p>\n<p>arrayIndex = nextArrayIndex;<\/p>\n<p><span style=\"font-size: 16px;\">\u4f18\u5316\u540e\u7684\u5355\u4e2a\u5e7f\u544a\u9884\u4f30\u65f6\u5ef6\u7ea6650<span>\u03bc<\/span><span>s<\/span>\uff0c\u89c1\u4e0b\u56fe\uff1a<\/span><\/p>\n<\/p>\n<p><span style=\"font-size: 16px;\">\u7efc\u4e0a\uff0c\u5f53\u524d\u7ebf\u4e0a\u9884\u4f30\u91c7\u53d6\u201c\u4e24\u6761\u817f\u8d70\u8def\u201d\u7684\u7b56\u7565\u3002\u5229\u7528TF Serving\u5feb\u901f\u5b9e\u9a8c\u65b0\u7684\u6a21\u578b\u7ed3\u6784\uff0c\u4ee5\u4fdd\u8bc1\u8fed\u4ee3\u6548\u7387\uff1b\u4e00\u65e6\u6a21\u578b\u6210\u719f\u5207\u6362\u4e3b\u6d41\u91cf\uff0c\u6211\u4eec\u4f1a\u5f00\u53d1\u5b9a\u5236\u5b9e\u73b0\uff0c\u4ee5\u4fdd\u8bc1\u7ebf\u4e0a\u6027\u80fd\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\"><strong>\u6a21\u578b\u6548\u679c<\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u501f\u52a9\u4e8e\u6211\u4eec\u7684\u5206\u5c42\u5b9e\u9a8c\u5e73\u53f0\uff0c\u6211\u4eec\u53ef\u4ee5\u65b9\u4fbf\u7684\u5206\u914d\u6d41\u91cf\uff0c\u5b8c\u6210\u6a21\u578b\u7684\u5c0f\u6d41\u91cf\u5b9e\u9a8c\u4e0a\u7ebf\u3002\u8be5\u5206\u5c42\u5b9e\u9a8c\u5e73\u53f0\u540c\u65f6\u63d0\u4f9b\u4e86\u5206\u949f\u7c92\u5ea6\u7684\u5c0f\u6d41\u91cf\u5b9e\u65f6\u6548\u679c\u6570\u636e\uff0c\u4fbf\u4e8e\u6a21\u578b\u8bc4\u4f30\u548c\u6548\u679c\u76d1\u63a7\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\"><strong>\u56db\u3001\u603b\u7ed3\u4e0e\u5c55\u671b<\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u7ecf\u8fc7\u4e00\u6bb5\u65f6\u95f4\u7684\u6478\u7d22\u4e0e\u5b9e\u8df5\uff0c\u641c\u7d22\u5e7f\u544a\u4e1a\u52a1\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u6392\u5e8f\u4e0a\u6709\u4e86\u4e00\u5b9a\u7684\u6210\u679c\u4e0e\u79ef\u7d2f\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u7ee7\u7eed\u5728\u7279\u5f81\u3001\u6a21\u578b\u3001\u5de5\u7a0b\u89d2\u5ea6\u8fed\u4ee3\u4f18\u5316\u3002\u7279\u5f81\u4e0a\uff0c\u66f4\u6df1\u5ea6\u6316\u6398\u7528\u6237\u610f\u56fe\uff0c\u523b\u753b\u4e0a\u4e0b\u6587\u573a\u666f\uff0c\u5e76\u7ed3\u5408DNN\u6a21\u578b\u5f3a\u5927\u7684\u8868\u8fbe\u80fd\u529b\u5145\u5206\u53d1\u6325\u7279\u5f81\u7684\u4f5c\u7528\u3002\u6a21\u578b\u4e0a\uff0c\u63a2\u7d22\u65b0\u7684\u7f51\u7edc\u7ed3\u6784\uff0c\u5e76\u7ed3\u5408CNN\u3001RNN\u3001Attention\u673a\u5236\u7b49\u53d1\u6325\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u4f18\u52bf\u3002\u6301\u7eed\u8ddf\u8fdb\u4e1a\u754c\u52a8\u6001\uff0c\u5e76\u7ed3\u5408\u5b9e\u9645\u573a\u666f\uff0c\u5e94\u7528\u5230\u4e1a\u52a1\u4e2d\u3002\u5de5\u7a0b\u4e0a\uff0c\u8ddf\u8fdbTensorFlow\u7684\u65b0\u7279\u6027\uff0c\u5e76\u5bf9\u76ee\u524d\u5b9e\u9645\u5e94\u7528\u4e2d\u9047\u5230\u7684\u95ee\u9898\u9488\u5bf9\u6027\u4f18\u5316\uff0c\u4ee5\u8fbe\u5230\u6027\u80fd\u4e0e\u6548\u679c\u7684\u63d0\u5347\u3002\u6211\u4eec\u5728\u6301\u7eed\u63a2\u7d22\u4e2d\u3002<\/span><\/p>\n<p><span style=\"font-size: 16px;\"><strong><span style=\"font-size: 16px;\">\u53c2\u8003\u6587\u732e<\/span><\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\">[1] Chapelle, O., Manavoglu, E., &amp; Rosales, R. (2015). Simple and scalable response prediction for display advertising. ACM Transactions on Intelligent Systems and Technology (TIST), 5(4), 61.<\/span><\/p>\n<p>[2] Friedman, J. H. (2001). Greedy function approximation: a gradient boosting machine. Annals of statistics, 1189-1232.<\/p>\n<p>[3] Rendle, S. (2010, December). Factorization machines. In Data Mining (ICDM), 2010 IEEE 10th International Conference on (pp. 995-1000). IEEE.<\/p>\n<p>[4] Juan, Y., Zhuang, Y., Chin, W. S., &amp; Lin, C. J. (2016, September). Field-aware factorization machines for CTR prediction. In Proceedings of the 10th ACM Conference on Recommender Systems (pp. 43-50). ACM.<\/p>\n<p>[5] He, X., Pan, J., Jin, O., Xu, T., Liu, B., Xu, T., \u2026 &amp; Candela, J. Q. (2014, August). Practical lessons from predicting clicks on ads at facebook. In Proceedings of the Eighth International Workshop on Data Mining for Online Advertising (pp. 1-9). ACM.<\/p>\n<p>[6] Cheng, H. T., Koc, L., Harmsen, J., Shaked, T., Chandra, T., Aradhye, H., \u2026 &amp; Anil, R. (2016, September). Wide &amp; deep learning for recommender systems. In Proceedings of the 1st Workshop on Deep Learning for Recommender Systems (pp. 7-10). ACM.<\/p>\n<p>[7] Dougherty, J., Kohavi, R., &amp; Sahami, M. (1995). Supervised and unsupervised discretization of continuous features. In Machine Learning Proceedings 1995 (pp. 194-202).<\/p>\n<p>[8] Guo, H., Tang, R., Ye, Y., Li, Z., &amp; He, X. (2017). Deepfm: A factorization-machine based neural network for CTR prediction. arXiv preprint arXiv:1703.04247.<\/p>\n<p>[9] Ma, X., Zhao, L., Huang, G., Wang, Z., Hu, Z., Zhu, X., &amp; Gai, K. (2018). Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate. arXiv preprint arXiv:1804.07931.<\/p>\n<p>[10] Bergstra, J., &amp; Bengio, Y. (2012). Random search for hyper-parameter optimization. Journal of Machine Learning Research, 13(Feb), 281-305.<\/p>\n<p><span style=\"font-size: 16px;\"><strong><span>\u4f5c\u8005\u7b80\u4ecb<\/span><\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px;\">\u859b\u6b22\uff0c2016\u5e743\u6708\u52a0\u5165\u7f8e\u56e2\uff0c\u4e3b\u8981\u4ece\u4e8b\u641c\u7d22\u5e7f\u544a\u6392\u5e8f\u6a21\u578b\u76f8\u5173\u7684\u5de5\u4f5c\u3002<\/span><\/p>\n<p>\u59da\u5f3a\uff0c2016\u5e744\u6708\u52a0\u5165\u7f8e\u56e2\uff0c\u4e3b\u8981\u4ece\u4e8b\u641c\u7d22\u5e7f\u544a\u53ec\u56de\u3001\u673a\u5236\u4e0e\u6392\u5e8f\u7b49\u76f8\u5173\u7b97\u6cd5\u7814\u7a76\u5e94\u7528\u5de5\u4f5c\u3002<\/p>\n<p>\u7389\u6797\uff0c2015\u5e745\u6708\u52a0\u5165\u7f8e\u56e2\uff0c\u4e3b\u8981\u4ece\u4e8b\u641c\u7d22\u5e7f\u544a\u6392\u5e8f\u76f8\u5173\u7684\u5de5\u7a0b\u4f18\u5316\u5de5\u4f5c\u3002<\/p>\n<p>\u738b\u65b0\uff0c2017\u5e744\u6708\u52a0\u5165\u7f8e\u56e2\uff0c\u4e3b\u8981\u4ece\u4e8bGPU\u96c6\u7fa4\u7ba1\u7406\u4e0e\u6df1\u5ea6\u5b66\u4e60\u5de5\u7a0b\u4f18\u5316\u7684\u5de5\u4f5c\u3002<\/p>\n<\/p>\n<div class=\"articleend\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>ITPUB\u201d \u4f5c\u8005 | \u859b\u6b22 \u7389\u6797 \u738b\u65b0 \u8f6c\u81ea | \u7f8e\u56e2\u6280\u672f\u56e2\u961f AI\uff08\u4eba\u5de5\u667a\u80fd\uff09\u6280\u672f\u5df2\u7ecf\u5e7f\u6cdb\u5e94\u7528\u4e8e\u7f8e\u56e2\u7684\u4f17\u591a [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[183],"class_list":["post-113463","post","type-post","status-publish","format-standard","hentry","category-news","tag-183"],"_links":{"self":[{"href":"https:\/\/www.fagao.me\/p\/wp-json\/wp\/v2\/posts\/113463","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.fagao.me\/p\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fagao.me\/p\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fagao.me\/p\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fagao.me\/p\/wp-json\/wp\/v2\/comments?post=113463"}],"version-history":[{"count":0,"href":"https:\/\/www.fagao.me\/p\/wp-json\/wp\/v2\/posts\/113463\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.fagao.me\/p\/wp-json\/wp\/v2\/media?parent=113463"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fagao.me\/p\/wp-json\/wp\/v2\/categories?post=113463"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fagao.me\/p\/wp-json\/wp\/v2\/tags?post=113463"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}