一种基于用户兴趣分析的微博客热点主题检测方法.pdfVIP

WCCI 2012 IEEE World Congress on Computational Intelligence June, 10-15, 2012 - Brisbane, Australia IJCNN Detecting Popular Topics in Micro-blogging Based on a User Interest-Based Model Shuangyong Song, Qiudan Li, Xiaolong Zheng Abstract—The rapid increasing popularity of micro-blogging has Changing the most common areas of concern from “What made it an important information seeking channel. By detecting are You Doing?” to “What’s Happening”, Micro-blogging has recent popular topics from micro-blogging, we have becoming an important source of up-to-date topics about opportunities to gain insights into internet hotspots. Generally, a what’s happening in the world. Accordingly popular topic topic’s popularity is determined by two primary factors. One is discovery becomes a useful work in this novel social network how frequently a topic is discussed by users, and the other is how platform, which can provide users with a fast and convenient much influence those users have, since topics shown in the way to gain insights into internet hotspots. Existing approach influential users’ posts are more likely to attract others’ interprets a topic’s popularity by calculating term frequency attention. However, existing approaches interpret a topic’s TF [24]. TF considers that the more often a topic appears in popularity with only the number of keywords related to it, which posts, the more