DTCMF:Dynamic Trust-based Context-aware Matrix Factorization for Collaborative Filtering

摘要：

　　Trust-aware recommender system (TARS) can provide more relevant recommendation and more accurate rating predictions than the traditional recommender system by taking the trust factors into consideration,yet currently only static trust is modeled in these systems.In this paper,we propose to integrate the social network analysis based dynamic trust model with context-aware matrix factorization into a new dynamic trust-based context-aware matrix factorization(DTCMF) to fully capture the dynamic of trust.Evaluations based on a real dataset and three semi-synthetic datasets demonstrate that our approaches can not only ensure the stability of the system,but also leads to more accurate recommendations.

关键词： dynamic trust network matrix factorization recommender system social network

作者: Jiyun Li Rongyuan Yang Linlin Jiang

作者单位: School of Computer Science and Technology Donghua University Shanghai,China

会议类型: 国际会议

会议名称: 2016IEEE第二届信息技术、网络、电子及自动化控制会议

会议地点: 重庆

会议语种:英文

页码: 914-919

在线出版日期: 2016-03-20（万方平台首次上网日期，不代表论文的发表时间）