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。
