\u63a8\u8350\u7cfb\u7edf\u81ea\u8bde\u751f\u4ee5\u6765\u5e7f\u53d7\u5173\u6ce8\uff0c\u5c24\u5176\u662f\u4e92\u8054\u7f51\u9886\u57df\uff0c\u63a8\u8350\u7cfb\u7edf\u5df2\u7ecf\u6210\u4e3a\u4e86\u7ed9\u4f01\u4e1a\u4e0b\u91d1\u86cb\u7684\u767d\u9e45\u3002\u6211\u4eec\u6765\u7b97\u4e00\u7b14\u8d26\uff0c\u5047\u8bbe\u6211\u4eec\u516c\u53f8\u63a8\u8350\u4ea7\u54c1\u7684\u65e5 PV \u662f500 \u4e07\uff0c\u63a8\u8350\u7cfb\u7edf\u8ba9\u7528\u6237\u70b9\u51fb\u7387\u63d0\u5347\u4e861%, \u4e5f\u5c31\u662f\u4e00\u5929\u589e\u52a0\u4e865 \u4e07 PV\u3002Google Ads \u7684CPC \u5747\u4ef7\u662f2 \u7f8e\u5143\u3002\u8fd9\u6837\u7b97\u6765\uff0c\u63a8\u8350\u7cfb\u7edf\u6bcf\u5929\u7ed9\u8be5\u7f51\u7ad9\u8282\u7701\u4e8610 \u4e07\u7f8e\u5143\u7684\u83b7\u5ba2\u8d39\u7528\uff0c\u4e00\u5e74\u4e0b\u6765\u5c31\u662f3650 \u4e07\u7f8e\u5143\u3002\u8fd9\u771f\u7684\u662f\u4e00\u7b14\u975e\u5e38\u5e9e\u5927\u7684\u6570\u5b57\uff0c\u53ef\u89c1\u5927\u578b\u7f51\u7ad9\/ App \u5bf9\u63a8\u8350\u7cfb\u7edf\u8d8b\u4e4b\u82e5\u9e5c\u662f\u6709\u539f\u56e0\u7684\u3002<\/p>\n
\u63a8\u8350\u7cfb\u7edf\u81ea\u5f15\u5165\u56fd\u5185\u4e4b\u540e\uff0c\u8bb8\u591a\u5de5\u7a0b\u5e08\u559c\u6b22\u628a\u63a8\u8350\u7cfb\u7edf\u5212\u5206\u4e3a\u53ec\u56de-\u6392\u5e8f\u7b49\u9636\u6bb5\u3002\u5176\u5b9e\u6240\u8c13\u7684\u53ec\u56de\uff0c\u6307\u7684\u5c31\u662f\u5229\u7528\u7b97\u6cd5\u6216\u89c4\u5219\u5148\u7ed9\u6267\u884c\u63a8\u8350\u7b97\u6cd5\u7684\u6570\u636e\u7b5b\u9009\u51fa\u4e00\u4e2a\u5b50\u96c6\u5408\uff0c\u7136\u540e\u518d\u8fdb\u5165\u7b97\u6cd5\u6267\u884c\u7684\u4e0b\u4e00\u4e2a\u9636\u6bb5\u3002\u4f5c\u8005\u5728\u4e92\u8054\u7f51\u5927\u5382\u7684\u65f6\u5019\uff0c\u66fe\u7ecf\u5148\u7528\u534f\u540c\u8fc7\u6ee4\u505a\u53ec\u56de\uff0c\u7136\u540e\u7528\u6392\u5e8f\u5b66\u4e60\uff08Bayesian Personalized Ranking \/ Collaborative Less is More Filtering\uff09\u505a\u6392\u5e8f\uff0c\u53d6\u5f97\u4e86\u4e0d\u9519\u7684\u7ed3\u679c\u3002<\/p>\n
\u53ec\u56de\u7684\u7b56\u7565\u5343\u5343\u4e07\uff0c\u4e5f\u8bb8\u6709\u4eba\u8981\u95ee\uff1a\u6709\u6ca1\u6709\u4ec0\u4e48\u53ec\u56de\u7b56\u7565\u662f\u6700\u4f18\u7684\uff1f\u6211\u4eec\u6709\u6ca1\u6709\u529e\u6cd5\u901a\u8fc7\u6700\u4f18\u5316\u7406\u8bba\u8ba1\u7b97\u51fa\u6700\u4f18\u7684\u53ec\u56de\u7b56\u7565\uff1f\u7b54\u6848\u662f\u80af\u5b9a\u7684\u3002Ratidar Technologies LLC \u5728\u56fd\u9645\u5b66\u672f\u4f1a\u8bae CAIBDA 2022 \u4e0a\u5ba3\u8bfb\u4e86\u4e00\u7bc7\u9898\u4e3aKernel-CF: Collaborative filtering done right with social network analysis and kernel smoothing \u7684\u8bba\u6587\uff0c\u4ecb\u7ecd\u4e86\u5982\u4f55\u5229\u7528\u6570\u636e\u53ef\u89c6\u5316\u7b97\u6cd5\u548c\u975e\u53c2\u6570\u7edf\u8ba1\u65b9\u6cd5\u8ba1\u7b97\u63a8\u8350\u7cfb\u7edf\u6700\u4f18\u53ec\u56de\u7b56\u7565\u3002\u6211\u4eec\u4e0b\u9762\u8be6\u7ec6\u7684\u4ecb\u7ecd\u76f8\u5173\u5185\u5bb9\uff1a<\/p>\n
\u9996\u5148\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e00\u4e0b\u4ec0\u4e48\u662f ForceAtlas-2 \u7b97\u6cd5\u3002ForceAtlas-2 \u53d1\u8868\u4e8e PLoS \u76842014 \u5e74\u7684\u8bba\u6587\u3002\u8bba\u6587\u9898\u76ee\u662fForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software. \u8fd9\u7bc7\u8bba\u6587\u8bb2\u8ff0\u4e86\u5982\u4f55\u501f\u7528\u7269\u7406\u5b66\u4e2d\u7684\u6982\u5ff5\uff0c\u5b9e\u73b0\u5bf9\u4e8e\u590d\u6742\u7f51\u7edc\u7684\u53ef\u89c6\u5316\u3002\u76f8\u5173\u7b97\u6cd5\u5df2\u7ecf\u96c6\u6210\u5728\u4e86\u5e38\u7528\u7684\u793e\u4ea4\u7f51\u7edc\u5206\u6790\u8f6f\u4ef6Gephi \u4e2d\u3002<\/p>\n
ForceAtlas-2 \u8ba4\u4e3a\u4e00\u4e2a\u793e\u4ea4\u7f51\u7edc\u4e2d\uff0c\u70b9\u4e0e\u70b9\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\u6709\u4e24\u79cd\uff1a\u5438\u5f15\u529b\u548c\u6392\u65a5\u529b\u3002\u5176\u4e2d\u5438\u5f15\u529b\u5b9a\u4e49\u5982\u4e0b\uff1a<\/p>\n
\u800c\u6392\u65a5\u529b\u5b9a\u4e49\u5982\u4e0b\uff1a<\/p>\n
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\u4e0b\u9762\u6211\u4eec\u8fdb\u5165\u6b63\u9898\u3002\u6211\u4eec\u6765\u8ba8\u8bba\u600e\u6837\u7ed9\u534f\u540c\u8fc7\u6ee4\u7b97\u6cd5\u8bbe\u8ba1\u6700\u4f18\u53ec\u56de\u7b56\u7565\u3002\u6211\u4eec\u8fd9\u91cc\u62ff\u57fa\u4e8e\u7528\u6237\u7684\u534f\u540c\u8fc7\u6ee4\u505a\u4f8b\u5b50\u3002\u57fa\u4e8e\u7269\u54c1\u7684\u534f\u540c\u8fc7\u6ee4\u7b97\u6cd5\u6a21\u578b\u7684\u5206\u6790\u4e0e\u6b64\u7c7b\u4f3c\u3002\u57fa\u4e8e\u7528\u6237\u7684\u534f\u540c\u8fc7\u6ee4\u7b97\u6cd5\u7684\u516c\u5f0f\u5982\u4e0b\uff1a<\/p>\n
\u57fa\u4e8e\u7528\u6237\u7684\u534f\u540c\u8fc7\u6ee4\u7684\u57fa\u672c\u601d\u60f3\u662f\u6839\u636e\u4e0e\u7528\u6237\u76f8\u4f3c\u7684\u7528\u6237\u7684\u559c\u597d\u5217\u8868\u7ed9\u5f53\u524d\u7528\u6237\u63a8\u8350\u4ed6\u6240\u6ca1\u6709\u89c1\u8fc7\u7684\u7269\u54c1\u3002\u8fd9\u91cc\u9762\u5b58\u5728\u4e00\u4e2a\u95ee\u9898\uff1a\u6211\u4eec\u8be5\u9009\u62e9\u54ea\u4e9b\u4e0e\u7528\u6237\u76f8\u4f3c\u7684\u7528\u6237\u8fdb\u884c\u8ba1\u7b97\uff1f\u662f\u6240\u6709\u7528\u6237\u5417\uff1f\u8fd8\u662f\u6709\u4e2a\u6700\u4f18\u7684\u53ec\u56de\u7b56\u7565\uff1f\u8fd9\u5c31\u662f Kernel-CF \u7b97\u6cd5\u5c06\u8981\u8ba8\u8bba\u7684\u95ee\u9898\u3002Kernel-CF \u7b97\u6cd5\u7684\u8bba\u6587\u4e0b\u8f7d\u5730\u5740\u5728\u8fd9\u91cc\uff1ahttps:\/\/arxiv.org\/ftp\/arxiv\/papers\/2303\/2303.04561.pdf\u00a0\u3002\u4e0b\u9762\u6211\u4eec\u9488\u5bf9\u8fd9\u4e2a\u7b97\u6cd5\u5c55\u5f00\u4ecb\u7ecd\u3002<\/p>\n
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\u73b0\u5728\u6211\u4eec\u8003\u8651\u4e8c\u7ef4\u7684\u60c5\u51b5\uff08\u6211\u4eec\u6709X \u8f74\u548c Y \u8f74\u4e24\u4e2a\u65b9\u5411\u4e0a\u7684\u53d8\u91cf\uff09\uff1a<\/p>\n
\u5176\u4e2d\uff1a<\/p>\n
\u6211\u4eec\u770b\u5230\uff0c\u6211\u4eec\u5229\u7528 plug-in \u65b9\u6cd5\uff0c\u5b8c\u7f8e\u7684\u89e3\u51b3\u4e86\u534f\u540c\u8fc7\u6ee4\u4e2d\u7684\u6700\u4f18\u53ec\u56de\u95ee\u9898\u3002\u4e0b\u56fe\u662f\u4e00\u5f20\u57fa\u4e8e ForceAtlas-2 \u964d\u7ef4\u4e4b\u540e\u7684\u534f\u540c\u8fc7\u6ee4\u8f93\u5165\u6570\u636e\uff08LDOS-CoMoDa \u6570\u636e\u96c6\uff09\u7684\u90e8\u5206\u5c55\u793a\uff0c\u53ef\u4ee5\u770b\u5230\u6700\u4f18\u53ec\u56de\u7b56\u7565\u53ef\u4ee5\u8282\u7701\u5927\u91cf\u7684\u8ba1\u7b97\u8d44\u6e90\uff1a<\/p>\n
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\u672c\u6587\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5982\u4f55\u5229\u7528\u4fe1\u606f\u53ef\u89c6\u5316\u548c\u975e\u53c2\u6570\u7edf\u8ba1\u65b9\u6cd5\u8ba1\u7b97\u534f\u540c\u8fc7\u6ee4\u4e2d\u6700\u4f18\u53ec\u56de\u7684\u95ee\u9898\u3002\u7b97\u6cd5\u4e2d\u867d\u7136\u516c\u5f0f\u63a8\u5bfc\u590d\u6742\uff0c\u4f46\u662f\u6574\u4f53\u6d41\u7a0b\u53ef\u5b9e\u73b0\u6027\u8f83\u5f3a\u3002\u4e00\u65e6\u8bfb\u8005\u719f\u6089\u4e86\u6587\u7ae0\u4e2d\u7b97\u6cd5\u7684\u7ec6\u8282\uff0c\u5c31\u80fd\u5f88\u597d\u7684\u5b8c\u6210\u7b97\u6cd5\u7684\u5b9e\u73b0\u5de5\u4f5c\u3002\u8fd9\u4e2a\u7b97\u6cd5\u7684\u540d\u5b57\u53eb\u505a Kernel-CF\uff0c\u4e00\u65b9\u9762\u662f\u56e0\u4e3a\u5229\u7528\u4e86\u6838\u56de\u5f52\u7684\u77e5\u8bc6\uff0c\u53e6\u5916\u4e00\u65b9\u9762\u662f\u56e0\u4e3a\u95ee\u9898\u89e3\u51b3\u5bf9\u8c61\u662f\u534f\u540c\u8fc7\u6ee4\u3002<\/p>\n
Kernel-CF \u7b97\u6cd5\u544a\u8bc9\u6211\u4eec\u5728\u89e3\u51b3\u5b9e\u9645\u7684\u673a\u5668\u5b66\u4e60\u95ee\u9898\u4e2d\uff0c\u5e94\u8be5\u96c6\u601d\u5e7f\u76ca\uff0c\u535a\u89c8\u7fa4\u4e66\uff0c\u5145\u5206\u5229\u7528\u5176\u4ed6\u9886\u57df\u7684\u5b66\u79d1\u77e5\u8bc6\uff0c\u5c31\u53ef\u4ee5\u7efc\u5408\u8d77\u6765\u89e3\u51b3\u63a8\u8350\u7cfb\u7edf\u4e2d\u7684\u8001\u5927\u96be\u95ee\u9898\u3002\u975e\u53c2\u6570\u7edf\u8ba1\u662f\u7edf\u8ba1\u5b66\u4e13\u4e1a\u9ad8\u5e74\u7ea7\u5b66\u751f\u6216\u8005\u7edf\u8ba1\u5b66\u7814\u7a76\u751f\u6240\u5b66\u7684\u5185\u5bb9\u3002\u4f5c\u4e3a\u7b97\u6cd5\u5de5\u7a0b\u5e08\uff0c\u76f8\u5173\u7684\u77e5\u8bc6\u5e73\u65e5\u91cc\u53ef\u80fd\u63a5\u89e6\u4e0d\u5230\uff0c\u4f46\u662f\u8fd9\u4e0d\u59a8\u788d\u6211\u4eec\u7ecf\u5e38\u53bb\u56fe\u4e66\u9986\u501f\u9605\uff08\u4e2d\u56fd\u56fd\u5bb6\u56fe\u4e66\u9986\u6709\u6570\u767e\u4e07\u6301\u5361\u7528\u6237\uff09\u6216\u8005\u8d2d\u4e70\u4e66\u7c4d\u9605\u8bfb\u3002\u624e\u5b9e\u7684\u6570\u5b66\u529f\u5e95\uff0c\u80fd\u591f\u7ed9\u6211\u4eec\u7684\u7b97\u6cd5\u5de5\u4f5c\u63d2\u4e0a\u817e\u98de\u7684\u7fc5\u8180\uff0c\u7ffb\u8d8a\u4e00\u5ea7\u53c8\u4e00\u5ea7\u7684\u9ad8\u5c71\u5cfb\u5cad\u3002<\/p>\n
\u6c6a\u660a\uff0c\u524d Funplus \u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4\u8d1f\u8d23\u4eba\/\u521b\u4e1a\u516c\u53f8CTO\u3002\u66fe\u5728 ThoughtWorks\u3001\u8c46\u74e3\u3001\u767e\u5ea6\u3001\u65b0\u6d6a\u7b49\u516c\u53f8\u62c5\u4efb\u6280\u672f\u548c\u6280\u672f\u9ad8\u7ba1\u804c\u52a1\u3002\u5728\u4e92\u8054\u7f51\u516c\u53f8\u548c\u91d1\u878d\u79d1\u6280\u3001\u6e38\u620f\u7b49\u516c\u53f8\u4efb\u804c 13 \u5e74\uff0c\u5bf9\u4e8e\u4eba\u5de5\u667a\u80fd\u3001\u8ba1\u7b97\u673a\u56fe\u5f62\u5b66\u548c\u533a\u5757\u94fe\u7b49\u9886\u57df\u6709\u7740\u6df1\u523b\u7684\u89c1\u89e3\u548c\u4e30\u5bcc\u7684\u7ecf\u9a8c\u3002\u5728\u56fd\u9645\u5b66\u672f\u4f1a\u8bae\u548c\u671f\u520a\u53d1\u8868\u8bba\u6587 42 \u7bc7\uff0c\u83b7\u5f97IEEE SMI 2008 \u6700\u4f73\u8bba\u6587\u5956\u3001ICBDT 2020 \/ IEEE ICISCAE 2021 \/ AIBT 2023 \/ ICSIM 2024\u6700\u4f73\u8bba\u6587\u62a5\u544a\u5956\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
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