{"id":108624,"date":"2019-05-21T22:58:19","date_gmt":"2019-05-21T14:58:19","guid":{"rendered":"http:\/\/www.fagao.me\/?p=108624"},"modified":"2019-05-21T22:58:19","modified_gmt":"2019-05-21T14:58:19","slug":"%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e8%a6%81%e5%a4%9a%e6%b7%b1-%e6%89%8d%e8%83%bd%e4%ba%86%e8%a7%a3%e4%bd%a0%e7%9a%84%e5%bf%83-dnn%e5%9c%a8%e6%90%9c%e7%b4%a2%e5%9c%ba%e6%99%af","status":"publish","type":"post","link":"https:\/\/www.fagao.me\/p\/108624.htm","title":{"rendered":"\u6df1\u5ea6\u5b66\u4e60\u8981\u591a\u6df1 \u624d\u80fd\u4e86\u89e3\u4f60\u7684\u5fc3 \u2014\u2014DNN\u5728\u641c\u7d22\u573a\u666f\u4e2d\u7684\u5e94\u7528"},"content":{"rendered":"

\"\"<\/p>\n

<\/div>\n

DNN\u5728\u641c\u7d22\u573a\u666f\u4e2d\u7684\u5e94\u7528\u6f5c\u529b\uff0c\u4e5f\u8bb8\u4f1a\u6bd4\u4f60\u60f3\u8c61\u7684\u66f4\u5927\u3002<\/p>\n

1.\u80cc \u666f<\/strong><\/p>\n

\u641c\u7d22\u6392\u5e8f\u7684\u7279\u5f81\u5728\u4e8e\u5927\u91cf\u7684\u4f7f\u7528\u4e86LR\uff0cGBDT\uff0cSVM\u7b49\u6a21\u578b\u53ca\u5176\u53d8\u79cd\u3002\u6211\u4eec\u4e3b\u8981\u5728\u7279\u5f81\u5de5\u7a0b\uff0c\u5efa\u6a21\u7684\u573a\u666f\uff0c\u76ee\u6807\u91c7\u6837\u7b49\u65b9\u9762\u505a\u4e86\u5f88\u7ec6\u81f4\u7684\u5de5\u4f5c\u3002\u4f46\u8fd9\u4e9b\u6a21\u578b\u7684\u74f6\u9888\u4e5f\u975e\u5e38\u7684\u660e\u663e\uff0c\u5c3d\u7ba1\u73b0\u5728\u963f\u91cc\u96c6\u56e2\u5185\u90e8\u7684PS\u7248\u672cLR\u53ef\u4ee5\u652f\u6301\u523050\u4ebf\u7279\u5f81\u89c4\u6a21\uff0c400\u4ebf\u7684\u6837\u672c\uff0c\u4f46\u8fd9\u5bf9\u4e8e\u6211\u4eec\u6765\u8bf4\uff0c\u770b\u8d77\u6765\u4f9d\u7136\u662f\u4e0d\u592a\u591f\u7684\uff0c\u73b0\u5728\u4e0a\u4ebf\u7684item\u6570\u636e\uff0c\u5982\u679c\u76f4\u63a5\u4f7f\u7528id\u7279\u5f81\u7684\u8bdd\uff0c\u548c\u4efb\u610f\u7279\u5f81\u8fdb\u884c\u7ec4\u5408\u540e\uff0c\u90fd\u4f1a\u8d85\u51faLR\u6a21\u578b\u7684\u6781\u9650\u89c4\u6a21\uff0c\u5bf9\u4e8eGBDT\uff0cSVM\u7b49\u6a21\u578b\u7684\u80fd\u529b\u5219\u66f4\u5f31\uff0c\u800c\u6211\u4eec\u4e00\u76f4\u5728\u601d\u8003\u600e\u4e48\u53ef\u4ee5\u7a81\u7834\u8fd9\u79cd\u6a21\u578b\u7684\u9650\u5236\uff0c\u627e\u5230\u66f4\u597d\u7684\u7279\u5f81\uff1b\u53e6\u5916\uff0c\u53ca\u65f6LR\u6a21\u578b\u80fd\u652f\u6301\u5230\u4e0a\u4ebf\u89c4\u6a21\u7684\u7279\u5f81\uff0c\u5728\u5b9e\u65f6\u9884\u6d4b\u9636\u6bb5\u4e5f\u662f\u6709\u6781\u5927\u7684\u5de5\u7a0b\u6311\u6218\uff0c\u6027\u80fd\u4e0e\u5185\u5b58\u4f1a\u6709\u975e\u5e38\u5927\u7684\u74f6\u9888\u3002<\/p>\n

\u6240\u4ee5\u6211\u4eec\u7b2c\u4e00\u8003\u8651\u5230\u7684\u662f\u964d\u7ef4\uff0c\u5728\u964d\u7ef4\u7684\u57fa\u7840\u4e0a\uff0c\u8fdb\u4e00\u6b65\u8003\u8651\u7279\u5f81\u7684\u7ec4\u5408\u3002\u6240\u4ee5DNN\uff08\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\uff09\u5f88\u81ea\u7136\u8fdb\u5165\u4e86\u6211\u4eec\u7684\u8003\u8651\u8303\u56f4\u3002\u518d\u8003\u8651\u7684\u662f\u5982\u679c\u628a\u7528\u6237\u884c\u4e3a\u5e8f\u5217\u5efa\u6a21\u8d77\u6765\uff0c\u6211\u4eec\u5e0c\u671b\u662f\u7528\u6237\u6253\u5f00\u624b\u6dd8\u540e\uff0c\u5148\u5728\u6709\u597d\u8d27\u70b9\u4e86\u4e00\u4e2a\u5546\u54c1\uff0c\u518d\u5728\u731c\u4f60\u5e0c\u671b\u70b9\u4e86\u4e00\u4e2a\u5546\u54c1\uff0c\u6700\u540e\u8fdb\u5165\u641c\u7d22\u540e\u4f1a\u53d7\u5230\u4e4b\u524d\u7684\u884c\u4e3a\u7684\u5f71\u54cd\uff0c\u5f53\u7136\u6709\u5f88\u591a\u7c7b\u4f3c\u7684\u65b9\u6cd5\u53ef\u4ee5\u95f4\u63a5\u5b9e\u73b0\u8fd9\u6837\u7684\u60f3\u6cd5\u3002\u4f46\u76f4\u63a5\u5efa\u6a21\u7684\u8bdd\uff0cLR\u8fd9\u7c7b\u7684\u6a21\u578b\uff0c\u5f88\u96be\u6709\u80fd\u529b\u6765\u652f\u6301\u8fd9\u7c7b\u7279\u5f81\uff0c\u6240\u4ee5\u5f88\u5bb9\u6613\u5c31\u60f3\u5230\u4e86RNN\u6a21\u578b\u3002<\/p>\n

2.\u76f8 \u5173 \u5de5 \u4f5c<\/strong><\/p>\n

\u540c\u65f6\u524d\u4eba\u6709\u5f88\u591a\u5de5\u4f5c\u7ed9\u4e88\u4e86\u6211\u4eec\u63d0\u793a\u3002Deep Learning over Multi-field Categorical Data\u8fd9\u7bc7paper\u5f00\u59cb\u4f7f\u7528id\u7c7b\u7684\u7279\u5f81\u8fdb\u884cCTR\u9884\u4f30\u3002<\/p>\n

Google\u4e5f\u63a8\u51faWide Deep Learning for Recommender Systems\u7684WideDeep\u6a21\u578b\u7528\u4e8e\u63a8\u8350\u573a\u666f\u3002\u5728FNN\u7684\u57fa\u7840\u4e0a\uff0c\u53c8\u52a0\u4e0a\u4e86\u4eba\u5de5\u7684\u4e00\u4e9b\u7279\u5f81\uff0c\u8ba9\u6a21\u578b\u53ef\u4ee5\u4e3b\u52a8\u6293\u4f4f\u7ecf\u9a8c\u4e2d\u66f4\u6709\u7528\u7684\u7279\u5f81\u3002<\/p>\n<\/p>\n

3. \u6211\u4eec\u7684Deep Learning\u6a21\u578b<\/strong><\/p>\n

\u5728\u641c\u7d22\u4e2d\uff0c\u4f7f\u7528\u4e86DNN\u8fdb\u884c\u4e86\u5c1d\u8bd5\u4e86\u8f6c\u5316\u7387\u9884\u4f30\u6a21\u578b\u3002\u8f6c\u5316\u7387\u9884\u4f30\u662f\u641c\u7d22\u5e94\u7528\u573a\u666f\u7684\u4e00\u4e2a\u91cd\u8981\u95ee\u9898\uff0c\u8f6c\u5316\u7387\u9884\u4f30\u5bf9\u5e94\u7684\u8f93\u5165\u7279\u5f81\u5305\u542b\u5404\u4e2a\u4e0d\u540c\u57df\u7684\u7279\u5f81\uff0c\u5982\u7528\u6237\u57df\uff0c\u5b9d\u8d1d\u57df\uff0cquery\u57df\u7b49\uff0c\u5404\u79cd\u7279\u5f81\u7684\u7ef4\u5ea6\u90fd\u80fd\u9ad8\u8fbe\u5343\u4e07\uff0c\u751a\u81f3\u4e0a\u4ebf\u7ea7\u522b\uff0c\u5982\u4f55\u5728\u6a21\u578b\u4e2d\u5904\u7406\u8d85\u9ad8\u7ef4\u5ea6\u7684\u7279\u5f81\uff0c\u6210\u4e3a\u4e86\u4e00\u4e2a\u4e9f\u5f85\u89e3\u51b3\u7684\u95ee\u9898\uff0c\u7b80\u5355\u7684\u7ebf\u6027\u6a21\u578b\u5728\u5904\u7406\u9ad8\u7ef4\u7a00\u758f\u7279\u5f81\u5b58\u5728\u6bd4\u8f83\u597d\u7684\u4f18\u52bf\uff0c\u4f46\u662f\u5355\u4e00\u7684\u7ebf\u6027\u6a21\u578b\u65e0\u6cd5\u5904\u7406\u7279\u5f81\u4ea4\u53c9\u7684\u95ee\u9898\uff0c\u6bd4\u5982\uff0c\u6211\u4eec\u5728\u8f6c\u5316\u7387\u9884\u4f30\u65f6\u5e76\u4e0d\u80fd\u5355\u72ec\u53ea\u8003\u8651\u5b9d\u8d1d\u7ef4\u5ea6\u7684\u8f6c\u5316\u7387\uff0c\u800c\u66f4\u9700\u8981\u8003\u8651\u7528\u6237\u5230\u5b9d\u8d1d\u7684\u8f6c\u5316\u7387\u6216\u8005query\u5230\u5b9d\u8d1d\u7684\u8f6c\u5316\u7387\uff0c\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u4f7f\u7528\u5355\u4e00\u7ef4\u5ea6\u7684\u7ebf\u6027\u6a21\u578b\u5c31\u65e0\u6cd5\u89e3\u51b3\u73b0\u6709\u95ee\u9898\uff0c\u800c\u9700\u8981\u4eba\u5de5\u6784\u9020\u9ad8\u9636\u7684\u7ec4\u5408\u7279\u5f81\u6765\u5b8c\u6210\uff0c\u4f1a\u6d88\u8017\u5de8\u5927\u7684\u8ba1\u7b97\u91cf\u3002<\/p>\n

\u5927\u89c4\u6a21id\u7279\u5f81\u5b9e\u65f6\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff0c\u53ef\u4ee5\u5904\u7406\u4e0a\u4ebf\u7ef4\u5ea6\u7684id\u7c7b\u8f93\u5165\u7279\u5f81\uff0c\u5e76\u901a\u8fc7\u590d\u6742\u795e\u7ecf\u7f51\u7edc\u7ed3\u6784\u5bf9\u4e0d\u540c\u57df\u7684\u7279\u5f81(\u7528\u6237\uff0c\u5b9d\u8d1d\uff0cquery)\u8fdb\u884c\u7279\u5f81\u7ec4\u5408\uff0c\u89e3\u51b3\u4e86\u5355\u4e00\u7ebf\u6027\u6a21\u578b\u65e0\u6cd5\u5904\u7406\u7279\u5f81\u4ea4\u53c9\u7684\u95ee\u9898\uff0c\u540c\u65f6\u4e5f\u907f\u514d\u4e86\u4eba\u5de5\u6784\u9020\u9ad8\u9636\u7ec4\u5408\u7279\u5f81\u7684\u5de8\u5927\u8ba1\u7b97\u91cf\u3002<\/p>\n

\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u901a\u8fc7\u6784\u9020\u7a00\u758fid\u7279\u5f81\u7684\u7a20\u5bc6\u5411\u91cf\u8868\u793a\uff0c\u4f7f\u5f97\u6a21\u578b\u80fd\u6709\u66f4\u597d\u7684\u6cdb\u5316\u6027\uff0c\u540c\u65f6\uff0c\u4e3a\u4e86\u8ba9\u6a21\u578b\u80fd\u66f4\u597d\u7684\u62df\u5408\u5927\u4fc3\u671f\u95f4\u5546\u54c1\u7279\u5f81\u6570\u636e\u7684\u5267\u70c8\u53d8\u5316\uff0c\u5728\u6df1\u5ea6\u7f51\u7edc\u7684\u6700\u540e\u4e00\u5c42\u589e\u52a0\u5546\u54c1id\u7c7b\u7279\u5f81\uff0cid\u7ec4\u5408\u7279\u5f81\u548c\u5b9e\u65f6\u7684\u7edf\u8ba1\u91cf\u7279\u5f81\uff0c\u4f7f\u5f97\u6574\u4e2a\u7f51\u7edc\u540c\u65f6\u517c\u987e\u6cdb\u5316\u6027\u548c\u5b9e\u65f6\u6027\u7684\u7279\u70b9\u3002<\/p>\n<\/p>\n

wide model<\/p>\n

a. id feature: item_id, seller_id\uff0c\u5b66\u4e60\u5df2\u7ecf\u51fa\u73b0\u8fc7\u7684\u5546\u54c1\uff0c\u5356\u5bb6\u5728\u8bad\u7ec3\u6570\u636e\u4e0a\u7684\u8868\u73b0\u3002<\/p>\n

b. id cross feature: user_id x item_id , user_id x seller_id<\/p>\n

\u8fde\u7eed\u503c\u7edf\u8ba1\u7279\u5f81\u662f\u975e\u5e38\u6709\u7528\u7684\u7279\u5f81\uff0cGoogle\u7684\u6a21\u578b\u662f\u628aembedding\u5411\u91cf\u548c\u7edf\u8ba1\u7279\u5f81\u653e\u5230\u540c\u4e00\u4e2aDNN\u7f51\u7edc\u4e2d\u5b66\u4e60\uff0c\u4f46\u5b9e\u9a8c\u53d1\u73b0\u8fd9\u6837\u4f1a\u524a\u5f31\u7edf\u8ba1\u7279\u5f81\u7684\u4f5c\u7528\u3002\u6211\u4eec\u4e3a\u7edf\u8ba1\u7279\u5f81\u4e13\u95e8\u53c8\u7ec4\u5efa\u4e86\u4e00\u4e2a\u5305\u542b2\u4e2a\u9690\u5c42\u7684\u7f51\u8def\uff0c\u5e76\u4e14\u4e3a\u4e86\u589e\u5f3a\u975e\u7ebf\u6027\u6548\u679c\uff0c\u6fc0\u6d3b\u51fd\u6570\u4eceRELU\u6539\u4e3aTanH\/Sigmiod\u3002<\/p>\n

Deep Model<\/strong><\/p>\n

a. \u9996\u5148\u9700\u8981\u628a\u79bb\u6563\u7279\u5f81\uff08item_id\uff0citem_tag, user_id\uff0cuser_tag\uff0cquery_tag\uff09embeding\u6210\u8fde\u7eed\u7279\u5f81\u3002<\/p>\n

b. \u5c06embedding\u540e\u7684\u5411\u91cf\u4f5c\u4e3aDNN\u7684\u8f93\u5165\u3002\u8003\u8651\u5230\u6700\u7ec8\u7ebf\u4e0a\u9884\u6d4b\u6027\u80fd\u7684\u95ee\u9898\uff0c\u76ee\u524d\u6211\u4eec\u7684DNN\u7f51\u7edc\u8fd8\u6bd4\u8f83\u7b80\u5355\uff0c\u53ea\u67091\u52302\u4e2a\u9690\u5c42\u3002<\/p>\n

\u6574\u4f53\u6a21\u578b\u4f7f\u7528\u4e09\u5c42\u5168\u8fde\u63a5\u5c42\u7528\u4e8esparse+dense\u7279\u5f81\u8868\u5f81\u5b66\u4e60\uff0c\u518d\u7528\u4e24\u5c42\u5168\u8fde\u63a5\u5c42\u7528\u4e8e\u70b9\u51fb\/\u8d2d\u4e70\u4e0e\u5426\u5206\u7c7b\u7684\u7edf\u4e00\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u89e3\u51b3\u65b9\u6848\uff1a<\/p>\n

\u7b2c\u4e00\u5c42\u4e3a\u7f16\u7801\u5c42\uff0c\u5305\u542b\u5546\u54c1\u7f16\u7801\uff0c\u5e97\u5bb6\u7f16\u7801\uff0c\u7c7b\u76ee\u7f16\u7801\uff0c\u54c1\u724c\u7f16\u7801\uff0c\u641c\u7d22\u8bcd\u7f16\u7801\u548c\u7528\u6237\u7f16\u7801\u3002<\/p>\n

\u5728\u666e\u9002\u7684CTR\u573a\u666f\u4e2d\uff0c\u7528\u6237\u3001\u5546\u54c1\u3001\u67e5\u8be2\u7b49\u82e5\u5e72\u4e2a\u57df\u7684\u7279\u5f81\u7ef4\u5ea6\u5408\u8ba1\u9ad8\u8fbe\u51e0\u5341\u4ebf\uff0c\u5047\u8bbe\u5728\u8f93\u5165\u5c42\u540e\u76f4\u63a5\u8fde\u63a5100\u4e2a\u8f93\u51fa\u795e\u7ecf\u5143\u7684\u5168\u8fde\u63a5\u5c42\uff0c\u90a3\u4e48\u8fd9\u4e2a\u6a21\u578b\u7684\u53c2\u6570\u89c4\u6a21\u5c06\u8fbe\u5230\u5343\u4ebf\u89c4\u6a21\u3002\u76f4\u63a5\u63a5\u5165\u5168\u8fde\u63a5\u5c42\u5c06\u5bfc\u81f4\u4ee5\u4e0b\u51e0\u4e2a\u95ee\u9898\uff1a1. \u5404\u4e2a\u57df\u90fd\u5b58\u5728\u51b7\u95e8\u7684\u7279\u5f81\uff0c\u8fd9\u4e9b\u51b7\u95e8\u7684\u7279\u5f81\u5c06\u4f1a\u88ab\u70ed\u95e8\u7684\u7279\u5f81\u6df9\u6ca1\uff0c\u57fa\u672c\u4e0d\u8d77\u4f5c\u7528\uff0c\u8ddf\u5168\u8fde\u63a5\u5c42\u7684\u8fde\u63a5\u8fb9\u6743\u503c\u4f1a\u8d8b\u5411\u4e8e0\uff0c\u51b7\u95e8\u7684\u5546\u54c1\u53ea\u4f1a\u66f4\u51b7\u95e8\u30022. \u6a21\u578b\u7684\u5927\u5c0f\u5c06\u4f1a\u975e\u5e38\u5e9e\u5927\uff0c\u8d85\u8fc7\u767eG\uff0c\u5728\u8bad\u7ec3\u4ee5\u53ca\u9884\u6d4b\u4e2d\u90fd\u4f1a\u51fa\u73b0\u5f88\u591a\u5de5\u7a0b\u4e0a\u7684\u95ee\u9898\u3002\u4e3a\u4e86\u89e3\u51b3\u4e0a\u8ff0\u4e24\u4e2a\u95ee\u9898\uff0c\u672c\u6587\u5f15\u5165\u4e86\u7d2b\u8272\u7f16\u7801\u5c42\uff0c\u5177\u4f53\u5206\u4e3a\u4ee5\u4e0b\u4e24\u79cd\u7f16\u7801\u65b9\u5f0f\uff1a1. \u968f\u673a\u7f16\u7801 2. \u6302\u9760\u7f16\u7801\uff0c\u4e0b\u9762\u5c06\u5bf9\u4ee5\u4e0a\u4e24\u79cd\u7f16\u7801\u65b9\u5f0f\u8fdb\u884c\u8be6\u7ec6\u7684\u63cf\u8ff0\u3002<\/p>\n

\u968f\u673a\u7f16\u7801<\/strong><\/p>\n

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\"\"<\/p>\n

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\u5018\u82e5\u6253\u7834\u4ee5\u4e0a\u4e24\u4e2a\u89c4\u5219\uff0c\u8ba9one-hot\u53d8\u6210six-hot\uff0c\u5e76\u4e14\u8ba9\u4e24\u4e24six-hot\u4e2d\u6700\u591a\u5141\u8bb8\u6709\u4e09\u4e2a\u4e3a1\u7684\u5143\u7d20\u662f\u91cd\u53e0\u7684\uff0c\u90a3\u4e48\u5bf91w\u7ef4\u7684\u6bcf\u4e2aone-hot\u7279\u5f81\u90fd\u53ef\u4ee5\u627e\u5230\u4e00\u4e2a\u968f\u673a\u7684six-hot\u7279\u5f81\u4e0e\u5176\u5bf9\u5e94\uff0c\u5e76\u4e14\u53ef\u4ee5\u5c06\u8fd9six-hot\u7684\u6700\u9ad8\u7ef4\u8bbe\u7f6e\u4e3a500\uff0c\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\u53ef\u4ee5\u5c061w\u7ef4\u7684one-hot\u7279\u5f81\u538b\u7f29\u5230500\u7ef4\uff0c\u5b9e\u73b020\u500d\u7684\u7279\u5f81\u538b\u7f29\uff0c\u5982\u679c\u8f93\u5165\u7279\u5f81\u662fN\u4e07\u7ef4\uff0c\u5219\u53ef\u4ee5\u5c06\u5176\u5206\u6210N\u6bb5\uff0c\u5e76\u4e14\u5728\u6bcf\u4e00\u6bb5\u91cc\u6839\u636e\u4e0a\u8ff0\u5bfb\u627e\u5230\u7684\u968f\u673a\u7801\u672c\u8fdb\u884c\u7279\u5f81\u538b\u7f29\uff0c\u6700\u540eN\u4e07\u7ef4\u7684one-hot\u7279\u5f81\u53ef\u4ee5\u91c7\u7528\u4ee5\u4e0asix-hot\u5f62\u5f0f\u5c06\u5176\u538b\u7f29\u5230N\/20\u4e07\u7ef4\uff0c\u5e76\u4e14\u4fdd\u8bc1\u4e24\u4e24\u7279\u5f81\u6700\u591a\u53ea\u6709\u4e09\u4e2a\u4e3a1\u7684\u5143\u7d20\u662f\u91cd\u53e0\u7684\uff0c\u793a\u610f\u56fe\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n<\/p>\n

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\u6302\u9760\u7f16\u7801<\/strong><\/p>\n

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\u5206\u8bcd\u7f16\u7801<\/strong><\/p>\n

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\u5728\u4ee5\u4e0a\u7684\u6d41\u7a0b\u4e2d\uff0c\u65e0\u6cd5\u5904\u7406\u6709\u91cd\u53e0\u8bcd\u8bed\u7684\u4e24\u4e2a\u67e5\u8be2\u77ed\u8bed\u7684\u5173\u7cfb\uff0c\u6bd4\u5982\u201c\u7ea2\u8272\u8fde\u8863\u88d9\u201d\uff0c\u201c\u7ea2\u8272\u978b\u5b50\u201d\uff0c\u8fd9\u4e24\u4e2a\u67e5\u8be2\u77ed\u8bed\u90fd\u6709\u201c\u7ea2\u8272\u201d\u8fd9\u4e2a\u8bcd\u8bed\uff0c\u4f46\u662f\u5728\u5f80\u5e38\u7684\u5904\u7406\u4e2d\uff0c\u8fd9\u4e24\u8005\u5e76\u6ca1\u6709\u4efb\u4f55\u5173\u7cfb\uff0c\u662f\u72ec\u7acb\u7684\u4e24\u4e2a\u67e5\u8be2ID\uff0c\u5982\u6b64\u4e00\u6765\u53ef\u80fd\u4f1a\u4e22\u6389\u4e00\u4e9b\u7528\u6237\u5bf9\u67d0\u4e9b\u8bcd\u8bed\u504f\u597d\u7684pattern\u3002<\/p>\n

\u57fa\u4e8e\u4ee5\u4e0a\u89c2\u5bdf\uff0c\u53ef\u4ee5\u5bf9\u67e5\u8be2\u77ed\u8bed\u9996\u5148\u8fdb\u884c\u5206\u8bcd\uff0c\u7136\u540e\u5bf9\u6bcf\u4e2a\u8bcd\u8bed\u8fdb\u884cone-hot\u7f16\u7801\uff0c\u6700\u540e\u9488\u5bf9\u6bcf\u4e2a\u67e5\u8be2\u77ed\u8bed\u8fdb\u884c\u5408\u5e76\u8bcd\u8bed\u7f16\u7801\uff0c\u4e5f\u5c31\u662f\u6bcf\u4e2a\u67e5\u8be2\u77ed\u8bed\u5143\u7d20\u4e3a1\u7684\u4e2a\u6570\u662f\u4e0d\u5b9a\u957f\u7684\uff0c\u5b83\u5143\u7d201\u7684\u4e2a\u6570\u662f\u7531\u81ea\u8eab\u80fd\u5206\u6210\u591a\u5c11\u4e2a\u8bcd\u8bed\u6765\u51b3\u5b9a\u7684\u3002\u5206\u8bcd\u7f16\u7801\u7684\u793a\u610f\u56fe\u5982\u4e0b\uff1a<\/p>\n<\/p>\n

\u4ece\u7b2c\u4e8c\u5c42\u5230\u7b2c\u56db\u5c42\u7ec4\u6210\u4e86\u201c\u57df\u95f4\u72ec\u7acb\u201d\u7684\u201c\u884c\u4e3a\u7f16\u7801\u7f51\u7edc\u201d\uff0c\u5176\u4e2d\u7b2c\u4e8c\u5c42\u4e3a\u9488\u5bf9\u7a00\u758f\u7f16\u7801\u7279\u522b\u4f18\u5316\u8fc7\u7684\u5168\u8fde\u63a5\u5c42( Sparse Inner Product Layer )\uff0c\u901a\u8fc7\u8be5\u5c42\u5c06\u538b\u7f29\u540e\u7684\u7f16\u7801\u4fe1\u606f\u6295\u5f71\u523016\u7ef4\u7684\u4f4e\u7ef4\u5411\u91cf\u7a7a\u95f4\u4e2d\uff0c\u7b2c\u4e09\u5c42\u548c\u7b2c\u56db\u5c42\u5747\u4e3a\u666e\u901a\u5168\u8fde\u63a5\u5c42\uff0c\u5176\u8f93\u51fa\u7ef4\u5ea6\u5206\u522b\u4e3a16\u548c32\u3002\u201c\u884c\u4e3a\u7f16\u7801\u7f51\u7edc\u201d\u4e5f\u53ef\u4ee5\u88ab\u770b\u505a\u662f\u9488\u5bf9\u57df\u4fe1\u606f\u7684\u4e8c\u6b21\u7f16\u7801\uff0c\u4f46\u662f\u4e0e\u7b2c\u4e00\u5c42\u4e0d\u540c\uff0c\u8fd9\u90e8\u5206\u7684\u6700\u7ec8\u8f93\u51fa\u662f\u57fa\u4e8e\u884c\u4e3a\u6570\u636e\u6240\u8bad\u7ec3\u51fa\u6765\u7684\u7ed3\u679c\uff0c\u5177\u6709\u884c\u4e3a\u4e0a\u76f8\u4f3c\u7684\u5546\u54c1\u6216\u8005\u7528\u6237\u7684\u6700\u7ec8\u7f16\u7801\u66f4\u76f8\u8fd1\u7684\u7279\u6027\u3002<\/p>\n

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\u6700\u540e\uff0cSoftmax\u4f5c\u4e3a\u635f\u5931\u51fd\u6570\u88ab\u7528\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d; \u975e\u7ebf\u6027\u54cd\u5e94\u51fd\u6570\u88ab\u7528\u5728\u6bcf\u4e00\u4e2a\u5168\u8fde\u63a5\u4e4b\u540e\u3002<\/p>\n

Online Update<\/strong><\/p>\n

\u53cc11\u5f53\u5929\u6570\u636e\u5206\u5e03\u4f1a\u53d1\u751f\u5de8\u5927\u53d8\u5316\uff0c\u4e3a\u4e86\u80fd\u66f4\u597d\u7684fit\u5b9e\u65f6\u6570\u636e\uff0c\u6211\u4eec\u5c06WDL\u7684\u4e00\u90e8\u5206\u53c2\u6570\u505a\u4e86\u5728\u7ebf\u5b9e\u65f6\u8bad\u7ec3\u3002embeding\u5c42\u7531\u4e8e\u53c2\u6570\u8fc7\u591a\uff0c\u5e76\u6ca1\u6709\u5728\u7ebf\u8bad\u7ec3\uff0c\u5176\u4ed6\u6a21\u578b\u53c2\u6570\u90fd\u4f1a\u5728\u7ebf\u5b66\u4e60\u66f4\u65b0\u3002<\/p>\n

deep\u7aef\u7f51\u7edc\u53c2\u6570\u548cwide\u7aef\u53c2\u6570\u66f4\u65b0\u7684\u7b56\u7565\u6709\u6240\u4e0d\u540c\uff0cwide\u7aef\u662f\u5927\u89c4\u6a21\u7a00\u758f\u7279\u5f81\uff0c\u4e3a\u4e86\u4f7f\u8bad\u7ec3\u7ed3\u679c\u6709\u7a00\u758f\u6027\uff0c\u6700\u597d\u7528FTRL\u6765\u505a\u66f4\u65b0\u3002deep\u7aef\u90fd\u662f\u7a20\u5bc6\u8fde\u7eed\u7279\u5f81\uff0c\u4f7f\u7528\u7684\u666e\u901a\u7684SGD\u6765\u505a\u66f4\u65b0\uff0c\u5b66\u4e60\u7387\u6700\u597d\u8bbe\u7f6e\u5c0f\u4e00\u70b9\u3002<\/p>\n

\u548c\u79bb\u7ebfBatch training\u4e0d\u540c\uff0cOnline learning\u4f1a\u9047\u5230\u4e00\u4e9b\u7279\u6709\u7684\u95ee\u9898\uff1a<\/p>\n

a. \u5b9e\u65f6streaming\u6837\u672c\u5206\u5e03\u4e0d\u5747\u5300<\/strong><\/p>\n

\u73b0\u8c61\uff1a\u7ebf\u4e0a\u73af\u5883\u6bd4\u8f83\u590d\u6742\uff0c\u4e0d\u540c\u6765\u6e90\u7684\u65e5\u5fd7qps\u548c\u5ef6\u8fdf\u90fd\u4e0d\u540c\uff0c\u9020\u6210\u4e0d\u540c\u65f6\u95f4\u6bb5\u6837\u672c\u5206\u5e03\u4e0d\u4e00\u6837\uff0c\u751a\u81f3\u5728\u77ed\u65f6\u95f4\u6bb5\u5185\u6837\u672c\u5206\u5e03\u5f02\u5e38\u3002\u6bd4\u5982\u6574\u4f53\u4e00\u5929\u4e0b\u6765\u6b63\u8d1f\u4f8b1:9\uff0c\u5982\u679c\u67d0\u7c7b\u65e5\u5fd7\u5ef6\u8fdf\u4e86\uff0c\u77ed\u65f6\u95f4\u53ef\u80fd\u5168\u662f\u8d1f\u4f8b\uff0c\u6216\u8005\u5168\u662f\u6b63\u4f8b\u3002 \u89e3\u51b3\uff1aPairwise sampling\u3002Pv\u65e5\u5fd7\u5230\u4e86\u540e\u4e0d\u7acb\u5373\u4ea7\u51fa\u8d1f\u6837\u672c\uff0c\u800c\u662f\u7b49\u70b9\u51fb\u5230\u4e86\u540e\u627e\u5230\u5173\u8054\u7684pv\uff0c\u7136\u540e\u628a\u6b63\u8d1f\u6837\u672c\u4e00\u8d77\u4ea7\u51fa\uff0c\u8fd9\u6837\u7684\u8bdd\u5c31\u80fd\u4fdd\u8bc1\u6b63\u8d1f\u6837\u672c\u603b\u662f1:9<\/p>\n

b. \u5f02\u6b65SGD\u66f4\u65b0\u9020\u6210\u6a21\u578b\u4e0d\u7a33\u5b9a<\/strong><\/p>\n

\u73b0\u8c61\uff1a\u6743\u91cd\u5b66\u98d8\u6389(\u975e\u5e38\u5927\u6216\u8005\u975e\u5e38\u5c0f)\uff0c\u6743\u91cd\u53d8\u5316\u592a\u5927\u3002\u89e3\u51b3\uff1amini batch\uff0c\u4e00\u6279\u6837\u672c\u68af\u5ea6\u7d2f\u52a0\u5230\u4e00\u8d77\uff0c\u66f4\u65b0\u4e00\u6b21\u3002<\/p>\n

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