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    余紫丹, 虞慧群. 基于社区发现及主题分析的微博用户推荐[J]. 华东理工大学学报(自然科学版), 2014, (6): 763-768.
    引用本文: 余紫丹, 虞慧群. 基于社区发现及主题分析的微博用户推荐[J]. 华东理工大学学报(自然科学版), 2014, (6): 763-768.
    YU Zi-dan, YU Hui-qun. Micro-Blog User Recommendation Based on Community Discovery and Topic Analysis[J]. Journal of East China University of Science and Technology, 2014, (6): 763-768.
    Citation: YU Zi-dan, YU Hui-qun. Micro-Blog User Recommendation Based on Community Discovery and Topic Analysis[J]. Journal of East China University of Science and Technology, 2014, (6): 763-768.

    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

    • 摘要: 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。

       

      Abstract: By considering several existing friend recommendation algorithms and trust transmission factors in social 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 recommending the potential friends to a user who was interested in, so as to enlarge the circle of friends and enhance user stickness accordingly.

       

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