{"categories":["Paper","Machine Learning","Marketing"],"blog_url":"https://farma-11.hatenablog.com/","type":"rich","provider_name":"Hatena Blog","title":"IJCAI2016: \"Identifying Key Observers to Find Popular Information in Advance\"","version":"1.0","url":"https://farma-11.hatenablog.com/entry/2017/12/29/034706","description":"\u672c\u8a18\u4e8b\u30fb\u8ad6\u6587\u306b\u3064\u3044\u3066 \u672c\u8a18\u4e8b\u3067\u306f\u4ee5\u4e0b\u306e\u8ad6\u6587\u306e\u6982\u7565\u3092\u793a\u3057\u3064\u3064\u3001\u8ad6\u6587\u8aad\u89e3\u306e\u305f\u3081\u306e\u77e5\u8b58\u3092\u307e\u3068\u3081\u308b\u3002 \u8ad6\u6587: Konishi, Takuya, et al. \"Identifying Key Observers to Find Popular Information in Advance.\" IJCAI. 2016. \u203b IJCAI\uff08International Joint Conference on Artificial Intelligence; \u56fd\u969b\u4eba\u5de5\u77e5\u80fd\u4f1a\u8b70\uff09: \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5206\u91ce\u3067\u30c8\u30c3\u30d7\u306e\u5b66\u8853\u4f1a\u8b70 \u672c\u8a18\u4e8b\u30fb\u8ad6\u6587\u306b\u3064\u3044\u3066 \u8ad6\u6587\u306e\u5185\u5bb9 \u8ad6\u6587\u306e\u6982\u8981 \u6d41\u884c\u3059\u308b\u30a2\u30a4\u30c6\u30e0\u306e\u65e9\u671f\u691c\u51fa\u306e\u6709\u52b9\u6027 \u89b3\u6e2c\u8005\u3092\u7d4c\u7531\u3057\u2026","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ffarma-11.hatenablog.com%2Fentry%2F2017%2F12%2F29%2F034706\" title=\"IJCAI2016: &quot;Identifying Key Observers to Find Popular Information in Advance&quot; - Farma&#39;s Study Desk\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","height":"190","blog_title":"Farma's Study Desk","author_name":"farma_11","published":"2017-12-29 03:47:06","width":"100%","image_url":"https://cdn.blog.st-hatena.com/images/theme/og-image-1500.png","author_url":"https://blog.hatena.ne.jp/farma_11/","provider_url":"https://hatena.blog"}