Micro-blogging Information Recommendation System for Mobile Client
面向移动终端的微博信息推荐方法

As a new type of online community, micro-blogging has gained more and more attention from mobile users.The most favorite person, as well as understanding interesting themes have become the main reason why users visit micro-blogging. In this paper, we proposed a correlated topic model-based approach for information recommendation in micro-blogging system. The approach can automatically find the relationship among users, topics and words, from which we can get the hot topics in the most recent period, the most influential users about each topic, and the incidence relationamong those topics. Experiment results show that the method can provide mobile users with useful information related to their interest.