{"id":2444,"date":"2019-10-23T12:42:59","date_gmt":"2019-10-23T12:42:59","guid":{"rendered":"http:\/\/skimai.com\/?p=2444"},"modified":"2024-05-20T07:38:38","modified_gmt":"2024-05-20T12:38:38","slug":"%e3%83%8b%e3%83%a5%e3%83%bc%e3%83%a9%e3%83%ab%e3%83%bb%e3%83%ac%e3%82%b3%e3%83%a1%e3%83%b3%e3%83%87%e3%83%bc%e3%82%b7%e3%83%a7%e3%83%b3%e3%83%bb%e3%82%a2%e3%83%ab%e3%82%b4%e3%83%aa%e3%82%ba%e3%83%a0","status":"publish","type":"post","link":"https:\/\/skimai.com\/ja\/neural-recommendation-algorithms\/","title":{"rendered":"\u795e\u7d4c\u63a8\u85a6\u30a2\u30d7\u30ed\u30fc\u30c1\u306f\u672c\u5f53\u306b\u9032\u6b69\u3057\u3066\u3044\u308b\u306e\u304b\uff1f"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_1 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u76ee\u6b21<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"\u30c8\u30b0\u30eb\u76ee\u6b21\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">\u30c8\u30b0\u30eb<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/skimai.com\/ja\/neural-recommendation-algorithms\/#Are_We_Really_Making_Progress_on_Neural_Recommendation_Approaches\" >\u30cb\u30e5\u30fc\u30e9\u30eb\u30fb\u30a2\u30d7\u30ed\u30fc\u30c1\u306f\u672c\u5f53\u306b\u9032\u6b69\u3057\u3066\u3044\u308b\u306e\u304b\uff1f\n\u63a8\u85a6\u30a2\u30d7\u30ed\u30fc\u30c1\uff1f<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/skimai.com\/ja\/neural-recommendation-algorithms\/#A_summary_of_Maurizio_Ferrari_Dacrema_et_als_Recent_Article_at_RecSys_2019%E2%80%8B\" >RecSys 2019\u306b\u304a\u3051\u308b\u30de\u30a6\u30ea\u30c4\u30a3\u30aa\u30fb\u30d5\u30a7\u30e9\u30fc\u30ea\u30fb\u30c0\u30af\u30ec\u30de\u3089\u306e\u6700\u65b0\u8ad6\u6587\u306e\u8981\u7d04<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/skimai.com\/ja\/neural-recommendation-algorithms\/#Neural_Recommendation_Algorithms\" >\u30cb\u30e5\u30fc\u30e9\u30eb\u63a8\u85a6\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/skimai.com\/ja\/neural-recommendation-algorithms\/#How_Progress_is_Measured\" >\u9032\u6b69\u306e\u6e2c\u5b9a\u65b9\u6cd5<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/skimai.com\/ja\/neural-recommendation-algorithms\/#Why_Are_These_Methods_Failing\" >\u306a\u305c\u3053\u308c\u3089\u306e\u65b9\u6cd5\u306f\u5931\u6557\u3059\u308b\u306e\u304b\uff1f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/skimai.com\/ja\/neural-recommendation-algorithms\/#Neural_Recommendation_Have_We_Improved\" >\u795e\u7d4c\u63a8\u85a6\uff1a\u6211\u3005\u306f\u9032\u6b69\u3057\u305f\u304b\uff1f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/skimai.com\/ja\/neural-recommendation-algorithms\/#Summary\" >\u6982\u8981<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1><span class=\"ez-toc-section\" id=\"Are_We_Really_Making_Progress_on_Neural_Recommendation_Approaches\"><\/span>\u795e\u7d4c\u7814\u7a76\u306f\u672c\u5f53\u306b\u9032\u3093\u3067\u3044\u308b\u306e\u304b\uff1f<br \/>\n\u63a8\u85a6\u30a2\u30d7\u30ed\u30fc\u30c1\uff1f<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<pre><code>        <h4><span class=\"ez-toc-section\" id=\"A_summary_of_Maurizio_Ferrari_Dacrema_et_als_Recent_Article_at_RecSys_2019%E2%80%8B\"><\/span>RecSys 2019\u306b\u304a\u3051\u308b\u30de\u30a6\u30ea\u30c4\u30a3\u30aa\u30fb\u30d5\u30a7\u30e9\u30fc\u30ea\u30fb\u30c0\u30af\u30ec\u30de\u3089\u306e\u6700\u65b0\u8ad6\u6587\u306e\u8981\u7d04<span class=\"ez-toc-section-end\"><\/span><\/h4>     \n    <h2><span class=\"ez-toc-section\" id=\"Neural_Recommendation_Algorithms\"><\/span><strong>\u30cb\u30e5\u30fc\u30e9\u30eb\u63a8\u85a6\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\u30ec\u30b3\u30e1\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3\u30fb\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u30a2\u30de\u30be\u30f3\u306e \"yourstore \"\u30b9\u30d7\u30e9\u30c3\u30b7\u30e5\u30fb\u30da\u30fc\u30b8\u304b\u3089Netflix\u306e\u30de\u30c3\u30c1\u30f3\u30b0%\u30b9\u30b3\u30a2\u306b\u81f3\u308b\u307e\u3067\u3001\u5546\u696d\u5206\u91ce\u3067\u306f\u3044\u305f\u308b\u3068\u3053\u308d\u3067\u898b\u3089\u308c\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u3002\u30ec\u30b3\u30e1\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3\u30fb\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u8981\u3059\u308b\u306b\u3001\u30e6\u30fc\u30b6\u30fc\u306b\u3068\u3063\u3066\u6700\u3082\u95a2\u9023\u6027\u306e\u9ad8\u3044\u30a2\u30a4\u30c6\u30e0\u3092\u63a2\u3057\u51fa\u3059\u305f\u3081\u306b\u3001\u69d8\u3005\u306a\u65b9\u6cd5\u3092\u7528\u3044\u3066\u3001\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3001\u3059\u306a\u308f\u3061\u697d\u66f2\u3084\u6620\u753b\u306e\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u3059\u308b\u3002\u3053\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u904e\u53bb\u306e\u884c\u52d5\u3092\u89b3\u5bdf\u3057\u3001\u3053\u308c\u3089\u306e\u89b3\u5bdf\u304b\u3089\u5f97\u3089\u308c\u305f\u77e5\u8b58\u3092\u4f7f\u7528\u3057\u3066\u3001\u30e6\u30fc\u30b6\u30fc\u304c\u6700\u3082\u8cfc\u5165\u3001\u8996\u8074\u3001\u8074\u53d6\u3059\u308b\u53ef\u80fd\u6027\u306e\u9ad8\u3044\u88fd\u54c1\u3084\u30e1\u30c7\u30a3\u30a2\u3092\u63a8\u85a6\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u3001\u3053\u308c\u3092\u884c\u3046\u3002\u6a5f\u68b0\u5b66\u7fd2\u3001\u7279\u306b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u63a8\u85a6\u30b7\u30b9\u30c6\u30e0\u306b\u6d3b\u7528\u3059\u308b\u8a66\u307f\u306f\u6570\u591a\u304f\u306a\u3055\u308c\u3066\u304d\u305f\u3002\u69d8\u3005\u306a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u30ec\u30b3\u30e1\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3\u306e\u6539\u5584\u3092\u4e3b\u5f35\u3059\u308b\u7814\u7a76\u306f\u8c4a\u5bcc\u306b\u3042\u308b\u304c\u3001Dacrema\u3089\u306f\u3001\u5f93\u6765\u306e\u624b\u6cd5\u3088\u308a\u3082\u672c\u5f53\u306b\u6539\u5584\u3057\u3066\u3044\u308b\u306e\u304b\u3001\u3068\u554f\u3046\u5553\u767a\u7684\u306a\u8a18\u4e8b\u3092\u66f8\u3044\u3066\u3044\u308b\u3002\u5f7c\u3089\u306e\u8ad6\u6587\u306b\u3088\u308c\u3070\u3001\"......\u9054\u6210\u3055\u308c\u305f\u9032\u6b69-\u65e2\u5b58\u306e\u30e2\u30c7\u30eb\u306b\u5bfe\u3059\u308b\u7cbe\u5ea6\u306e\u5411\u4e0a\u3068\u3044\u3046\u89b3\u70b9\u304b\u3089\u6e2c\u5b9a-\u306f\u3001\u5fc5\u305a\u3057\u3082\u671f\u5f85\u3055\u308c\u305f\u307b\u3069\u5f37\u304f\u306a\u3044\u3068\u3044\u3046\u5146\u5019\u304c\u5b58\u5728\u3059\u308b\"......\u3002\u3067\u306f\u3001\u9032\u6b69\u304c\u6b63\u78ba\u306b\u6349\u3048\u3089\u308c\u3066\u3044\u306a\u3044\u306e\u3060\u3068\u3057\u305f\u3089\u3001\u7814\u7a76\u8005\u305f\u3061\u306f\u73fe\u5728\u3069\u306e\u3088\u3046\u306b\u9032\u6b69\u3092\u6e2c\u5b9a\u3057\u3066\u3044\u308b\u306e\u304b\u3001\u3053\u308c\u3089\u306e\u624b\u6cd5\u306e\u6b20\u70b9\u306f\u4f55\u306a\u306e\u304b\u3001\u305d\u3057\u3066\u6a5f\u68b0\u5b66\u7fd2\u6280\u8853\u3092\u8ffd\u52a0\u3059\u308b\u3053\u3068\u3067\u63a8\u85a6\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u5b9f\u969b\u306b\u6539\u5584\u3055\u308c\u305f\u306e\u3060\u308d\u3046\u304b\uff1f<\/p><h2><span class=\"ez-toc-section\" id=\"How_Progress_is_Measured\"><\/span><strong>\u9032\u6b69\u306e\u6e2c\u5b9a\u65b9\u6cd5<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2><p>\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u6027\u80fd\u306e\u9032\u6b69\u306f\u3001\u65b0\u3057\u3044\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u6027\u80fd\u3092\u3001\u4ed6\u306e\u7a0b\u5ea6\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u30d9\u30fc\u30b9\u30e9\u30a4\u30f3\u6027\u80fd\u3068\u6bd4\u8f03\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u6e2c\u5b9a\u3055\u308c\u308b\u3002\u7279\u306b\u3001\u6700\u3082\u4e00\u822c\u7684\u306b\u4f7f\u7528\u3055\u308c\u308b\u30e1\u30c8\u30ea\u30af\u30b9\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3042\u308b\uff1a<\/p><ul><li>\u7cbe\u5ea6\uff1a\u5206\u985e\u30e2\u30c7\u30eb\u304c\u95a2\u9023\u3059\u308b\u30c7\u30fc\u30bf\u30dd\u30a4\u30f3\u30c8\u306e\u307f\u3092\u8b58\u5225\u3059\u308b\u80fd\u529b\u3002<\/li><li>\u518d\u73fe\u6027\uff1a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u3059\u3079\u3066\u306e\u95a2\u9023\u30c7\u30fc\u30bf\u70b9\u3092\u898b\u3064\u3051\u308b\u30e2\u30c7\u30eb\u306e\u80fd\u529b\u3002<\/li><li>\u6b63\u898f\u5316\u5272\u5f15\u7d2f\u7a4d\u5229\u5f97\uff08NDCG\uff09\uff1a\u30d9\u30fc\u30b9\u30e9\u30a4\u30f3\u306e\u30e9\u30f3\u30af\u4ed8\u3051\u30ea\u30b9\u30c8\uff08\u901a\u5e38\u306f\u4eba\u9593\u304c\u5224\u65ad\uff09\u3068\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u30e9\u30f3\u30af\u4ed8\u3051\u30ea\u30b9\u30c8\u306e\u6bd4\u8f03\u3002<\/li><\/ul><h2><span class=\"ez-toc-section\" id=\"Why_Are_These_Methods_Failing\"><\/span><strong>\u306a\u305c\u3053\u308c\u3089\u306e\u65b9\u6cd5\u306f\u5931\u6557\u3059\u308b\u306e\u304b\uff1f<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2><p>\u73fe\u5728\u306e\u9032\u6b69\u8a55\u4fa1\u65b9\u6cd5\u306e\u5931\u6557\u306b\u306f\u3044\u304f\u3064\u304b\u306e\u8981\u56e0\u304c\u3042\u308b\u304c\u3001\u30c7\u30af\u30ec\u30de\u3089\u306f3\u3064\u306e\u91cd\u8981\u306a\u8981\u56e0\u3092\u6307\u6458\u3057\u3066\u3044\u308b\uff1a<\/p><ol><li>\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3068\u8a55\u4fa1\u306e\u305f\u3081\u306e\u5f31\u3044\u30d9\u30fc\u30b9\u30e9\u30a4\u30f3\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8<\/li><li>\u65b0\u3057\u3044\u30d9\u30fc\u30b9\u30e9\u30a4\u30f3\u306b\u4f7f\u7528\u3055\u308c\u308b\u5f31\u3044\u624b\u6cd5\uff08\u6027\u80fd\u6bd4\u8f03\u306e\u305f\u3081\u306b\u3001\u904e\u53bb\u306b\u767a\u8868\u3055\u308c\u305f\u304c\u691c\u8a3c\u3055\u308c\u3066\u3044\u306a\u3044\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u4f7f\u7528\u3059\u308b\uff09<\/li><li>\u6bd4\u8f03\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u306a\u3044 <em>\u8907\u88fd<\/em> \u5404\u8ad6\u6587\u306e\u7d50\u679c<\/li><\/ol><p>\u7279\u306b\u8457\u8005\u306f\u3001\u516c\u8868\u3055\u308c\u3066\u3044\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u518d\u73fe\u6027\u304c\u6975\u7aef\u306b\u6b20\u3051\u3066\u3044\u308b\u3053\u3068\u3092\u6307\u6458\u3057\u3066\u3044\u308b\u3002\u8457\u8005\u3089\u306f\u3001\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u3084\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u5bb9\u6613\u306b\u5165\u624b\u3067\u304d\u308b\u73fe\u4ee3\u306e\u7814\u7a76\u74b0\u5883\u3067\u306f\u3001\u516c\u8868\u3055\u308c\u305f\u7d50\u679c\u3092\u518d\u73fe\u3059\u308b\u3053\u3068\u306f\u4e9b\u7d30\u306a\u3053\u3068\u3067\u3042\u308b\u306f\u305a\u3060\u3068\u6307\u6458\u3059\u308b\u3002\u3057\u304b\u3057\u3001\"\u73fe\u5b9f\u306b\u306f\u3001\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u5b9f\u88c5\u3084\u8a55\u4fa1\u624b\u9806\u306b\u95a2\u3059\u308b......\u5b9f\u9a13\u7d50\u679c\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b......\u5c0f\u3055\u306a\u8a73\u7d30\u304c\u5b58\u5728\u3059\u308b\"\u3002\u5b9f\u969b\u3001\u8457\u8005\u3089\u306f\u3001\u6570\u5341\u4ef6\u8abf\u67fb\u3057\u305f\u4e2d\u3067\u3001\u518d\u73fe\u53ef\u80fd\u306a\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u3068\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u6301\u3064\u8ad6\u6587\u306f\u5408\u8a087\u4ef6\u3057\u304b\u898b\u3064\u304b\u3089\u306a\u304b\u3063\u305f\u3002<\/p><h2><span class=\"ez-toc-section\" id=\"Neural_Recommendation_Have_We_Improved\"><\/span><strong>\u795e\u7d4c\u63a8\u85a6\uff1a\u6211\u3005\u306f\u9032\u6b69\u3057\u305f\u304b\uff1f<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2><p>Dacrema\u3089\u306f\u8ad6\u6587\u306e\u4e2d\u3067\u3001\u516c\u8868\u3055\u308c\u3066\u3044\u308b7\u3064\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u30c6\u30b9\u30c8\u3057\u305f\u3002\u305d\u308c\u305e\u308c\u306e\u7814\u7a76\u3067\u4f7f\u308f\u308c\u305f\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u3001\u3053\u308c\u3089\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u7d50\u679c\u3092\u3001\u5f93\u6765\u306e\u3082\u3063\u3068\u5358\u7d14\u306a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u7d50\u679c\u3068\u6bd4\u8f03\u3057\u305f\u3002\u5f7c\u3089\u306e\u7814\u7a76\u3067\u306f\u3001\u4f1d\u7d71\u7684\u306a\u624b\u6cd5\u3092\u51cc\u99d5\u3059\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u30921\u3064\u3060\u3051\u767a\u898b\u3057\u305f\uff1a2018\u5e74\u306bLiang\u3089\u306b\u3088\u3063\u3066\u767a\u8868\u3055\u308c\u305fVariational Autoencoders for Collaborative Filtering\uff08Mult-VAE\uff09\u3067\u3042\u308b\u3002Decrema\u3089\u306f\u3001Mult-VAE\u304c\u4ee5\u4e0b\u306e\u6027\u80fd\u5411\u4e0a\u3092\u3082\u305f\u3089\u3059\u3068\u4e3b\u5f35\u3057\u3066\u3044\u308b\uff1a<\/p><ul><li>\u5f97\u3089\u308c\u305f\u7cbe\u5ea6\u7d50\u679c\u306f\u30012011\u5e74\u306eIDCM11\u3067Xia Ning\u3068George Karypis\u306b\u3088\u3063\u3066\u767a\u8868\u3055\u308c\u305f\u5358\u7d14\u7dda\u5f62\u6cd5\uff08SLIM\uff09\u3088\u308a\u308210%\u304b\u308920%\u306e\u9593\u3067\u512a\u308c\u3066\u304a\u308a\u3001\u3053\u308c\u306f\u30d9\u30fc\u30b9\u30e9\u30a4\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u6027\u80fd\u3068\u3057\u3066\u306f\u6700\u9ad8\u3067\u3042\u3063\u305f\u3002<\/li><li>\u7d50\u679c\u306f\u3001\u3059\u3079\u3066\u306e\u6027\u80fd\u6307\u6a19\u306b\u304a\u3044\u3066\u3001SLIM\u3088\u308a\u6700\u59275%\u5411\u4e0a\u3057\u3001\u518d\u73fe\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u305f\u3002<\/li><li>SLIM\u306b\u5bfe\u3059\u308bMult-VAE\u306e\u30ea\u30b3\u30fc\u30eb\u6539\u5584\u306f \"\u78ba\u304b\u306a\u3088\u3046\u3060\"\u3002<\/li><\/ul><p>Decrema\u3089\u306f\u3001\"\u3053\u306e\u3088\u3046\u306b\u3001Mult-VAE\u3067\u306f\u3001\u3088\u308a\u8907\u96d1\u306a\u624b\u6cd5\u304c\u3001\u3059\u3079\u3066\u306e\u69cb\u6210\u306b\u304a\u3044\u3066\u3001\u6211\u3005\u306e\u30d9\u30fc\u30b9\u30e9\u30a4\u30f3\u624b\u6cd5\u306e\u3069\u308c\u3088\u308a\u3082......\u512a\u308c\u3066\u3044\u308b\u4f8b\u3092\u3001\u8abf\u67fb\u3055\u308c\u305f\u6587\u732e\u306e\u4e2d\u30671\u3064\u898b\u3064\u3051\u305f \"\u3068\u7d50\u3093\u3067\u3044\u308b\u3002<\/p><h2><span class=\"ez-toc-section\" id=\"Summary\"><\/span><strong>\u6982\u8981<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2><p>\u6210\u529f\u3092\u5ba3\u8a00\u3057\u3001\u65ac\u65b0\u306a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3084\u7d50\u679c\u3092\u767a\u8868\u3057\u305f\u3044\u306e\u306f\u3084\u307e\u3084\u307e\u3060\u304c\u3001\u30c0\u30af\u30ec\u30de\u306e\u7814\u7a76\u30c1\u30fc\u30e0\u306f\u3001\u6211\u3005\u306f\u5b9f\u969b\u306b\u306f\u9032\u6b69\u3057\u3066\u3044\u306a\u3044\u3001\u5c11\u306a\u304f\u3068\u3082\u305d\u308c\u307b\u3069\u9032\u6b69\u3057\u3066\u3044\u306a\u3044\u3053\u3068\u3092\u793a\u3057\u305f\u3002\u5f7c\u3089\u306e\u8ad6\u6587\u306f\u3001\"\u6211\u3005\u306e\u5206\u6790\u306f\u3001......\u30ec\u30d3\u30e5\u30fc\u3055\u308c\u305f\u4f5c\u54c1\u306e\u307b\u3068\u3093\u3069\u306f\u3001\u5c11\u306a\u304f\u3068\u3082\u3044\u304f\u3064\u304b\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u4e0a\u3067\u306f\u3001\u6982\u5ff5\u7684\u304b\u3064\u8a08\u7b97\u7684\u306b\u5358\u7d14\u306a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u6253\u3061\u52dd\u3064\u3053\u3068\u304c\u3067\u304d\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u308b \"\u3068\u7de0\u3081\u304f\u304f\u3063\u3066\u3044\u308b\u3002\u3057\u305f\u304c\u3063\u3066\u3001\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u5206\u6790\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u6a5f\u68b0\u5b66\u7fd2\u3092\u9069\u7528\u3057\u305f\u304f\u306a\u308b\u306e\u3068\u540c\u69d8\u306b\u3001\u63a8\u85a6\u30b7\u30b9\u30c6\u30e0\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u304c\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u6027\u80fd\u3092\u5411\u4e0a\u3055\u305b\u306a\u3044\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u3042\u308b\u3053\u3068\u304c\u4eca\u306e\u3068\u3053\u308d\u8a3c\u660e\u3055\u308c\u3066\u3044\u308b\u3002<\/code><\/pre>","protected":false},"excerpt":{"rendered":"<p>Are We Really Making Progress on Neural Recommendation Approaches? A summary of Maurizio Ferrari Dacrema, et al.\u2019s Recent Article at RecSys 2019\u200b Neural Recommendation AlgorithmsRecommendation algorithms have become ubiquitous across commercial fields, from the Amazon \u201cyourstore\u201d splash page to Netflix\u2019s matching % scores. Recommendation algorithms in essence filter large sets of data, i.e. song or movie databases, using a variety of methods to suss out the most relevant items to a user. The algorithm does so by looking at past behavior of a user and using knowledge gained from these observations to recommends products and media which the user is most likely to buy, watch, or listen to. Many attempts [&hellip;]<\/p>\n","protected":false},"author":1003,"featured_media":2457,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-custom-post-template.php","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[67],"tags":[],"class_list":["post-2444","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ml-nlp"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Is There Progress on Neural Recommendation? - Skim AI<\/title>\n<meta name=\"description\" content=\"Machine learning has widespread impact but are we really making progress with neural recommendation algorithms with machine learning?\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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