关键词抽取的典型应用场景 新闻、学术论文 社会化标注 ABSTRACT 计算|络1通信能源|新衬料|生物医药|商努科技|3大奖 This paper presents a new query recommendation method that generates recommended query list by mining large-scale 惠普抢占个人云计算先机 user logs, Starting from the user logs of click-through data 作者:里卡·课恩发和时:201-②154.19白击:94 we construct a bipartite network where the nodes on one side correspond to unique queries on the other side to unique URLs. Inspired by the bipartite network based resource 关键词:单到计图(mb 云( cloud- facilitated)】【杰弗 ·安查 na anderson)l allocation method, we try to extract the hidden information from the Query-URL bipartite network. The recommended (b)新闻关键词 queries generated by the Method are asymmetrical which means two related queries may have different strength to commend ench other. To evaluate the method, we use 红高粱(1987) one week user logs from Chinese search engine Sogou. The 导张艺谋 81 method is not only 'content ignorant, but also can be casily implemented in a paralleled manner, which is feasible for commercial search engines to handle large scale user logs Categories and Subject Descriptors: H 3.3 Information Storage and Retrieval Information Search and Retrieval 嘉 编阵创雨/朱伟莫宫(原著) (287B8人评份 主美文验 类型剧情请战争 决法257% 制片国家地区中国 会197% 语言汉语盐通话 白11% 片长91分神 General Terms: Algorithins, Experimentation 互遊成员常用的标签(共1279个) Keywords: Asymmetrical query recommendation, user log analysis, network resource allocation, bipartite network 张艺谋(8168}文(4516)巩(3654)中国电112}大陆(1915》中图(1041)爱雷(1192)剧(922 (a)论文关键词 (c)社会标签关键词抽取的典型应用场景 新闻、学术论文 社会化标注