摘要
随着微博的日趋流行,微博网站已成为海量信息的发布体,对微博的研究也需要从单一的用户关系分析向微博用户及其转发内容的挖掘进行转变,该文提出了一种新的方法挖掘微博用户评论和所转发微博的文字信息,将被用户关注的层面发掘出来,从而并产生推荐。
With the growing popularity of microblogging,microblogging site has become a massive body of the release of infor mation,thes study in inmicroblogging need transform from analysising a single customer relationship to mining microblogging users’s content,.this paper presents a new methods of mining microblogging users comments and microblogging forwarded text messages,through minging the level of concern of the user the microblog can recommended valuable information for user.
出处
《电脑知识与技术》
2012年第9X期6455-6456,共2页
Computer Knowledge and Technology
关键词
用户评论
用户转发
微博
用户推荐
users’s content
microblogging forwarded
microblogging
recommended for user