基于社区发现及主题分析的微博用户推荐

Micro-Blog User Recommendation Based on Community Discovery and Topic Analysis

在现行的几种好友推荐机制基础上,考虑社交网络的信任传播因素,设计了一种推荐模型。提出一种先基于信任度发现社区,再通过主题分析计算用户相似度的两阶段推荐方法。旨在向用户推荐其感兴趣的潜在好友,帮助用户扩大其朋友圈,进而提高用户黏性。

B factors in social y considering several existing friend recommendation algorithms and trust transmission networks, this paper proposed a recommendation model, i. e. , two-stage recommendation method. This algorithm firstly considered the trust degree to discover the community, and then, computed the user＇s topic similarity via topic analysis. The objective of the proposed algorithm was to recomrr ending the potential friends to a user who was interested in, so as to enlarge the circle of friends and enhance user stickness accordingly.