收稿日期: 2014-04-08
修回日期: 2014-04-20
网络出版日期: 2014-05-05
基金资助
本文系国家自然科学基金项目“社会化媒体集成检索与语义分析方法研究”（项目编号：71273194）研究成果之一。
Two-level MicroBlog Friend Recommendation Based on Topic Model
Received date: 2014-04-08
Revised date: 2014-04-20
Online published: 2014-05-05
唐晓波 , 祝黎 , 谢力 . 基于主题的微博二级好友推荐模型研究[J]. 图书情报工作, 2014 , 58(09) : 105 -113 . DOI: 10.13266/j.issn.0252-3116.2014.09.015
With users' explosive growth in the social network, it is more and more difficult for them to find potential friends of similar interests. In order to effectively solve the above problem, this paper proposes to recommend like-minded friends for social network users respectively from two dimensions of social relations and contents based on the theories of Homogeneity and Triadic closure. The paper models interested topics for Sina MicroBlog users by using extended LDA model-UserLDA, and calculates the users' similarity through user-topic probability distribution matrix, to recommend TopN two-level friend. Through the experiments on real weibo corpus, the result shows that the recommendation algorithm has better accuracy and diversity.
Key words： UserLDA; two-level friends; TF-IDF; JS distance; Sina MicroBlog
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