CIKM 2013推荐系统论文总结

这几天在家没事,介绍几篇CIKM上关于推荐系统的文章,

Personalized Influence Maximization on Social Networks 

Social Recommendation Incorporating Topic Mining and Social Trust Analysis

       文中作者引入topic的概念,对user, item, tag, trust的关系从topic的角度上从新解释了一遍,最后在PMF的框架上进行求解。

Location Recommendation for Out-of-Town Users in Location-Based Social Networks

FRec: A Novel Framework of Recommending Users and Communities in Social Media

Personalized Point-of-Interest Recommendation by Mining Users' Preference Transition

GAPfm: Optimal Top-N Recommendations for Graded Relevance Domains

Community-Based User Recommendation in Uni-Directional Social Networks

Interactive Collaborative Filtering

      文中介绍了一种交互式的协同过滤算法(在只有评分没有内容的条件下),通过扩展PMF方法构建了随时间变化的概率模型。

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