An Improved Trust-aware Recommender System for Personalized User Recommendation in Tmall

摘要：

　　Annual Double Eleven shopping festival has attracted peoples attention greatly.With the increase of online shopping channel,trust has become the most important content of user interaction in this environment.In this paper,We proposed improved trust-aware recommender system (iTARS) produces valuable recommendations by dynamic trust between users and selecting a best neighborhood based on biological metaphor of ant colonies in Tmall.The performance of iTARS is evaluated using tmall datasets of differernt sparsity levels and compared with traditional trust-aware recommender system for generating recommendations to the tmall members.

关键词： trust trust-aware recommender system personalization tmall

作者: Lijing Cheng Yongquan Fan Chun Yu Yajun Du

作者单位: School of Computer and Software Engineering, Xihua University, Chengdu Sichuan 610039, China

会议类型: 国际会议

会议名称: 2016 2nd International Conference on Mechanical, Electronic and Information Technology Engineering(2016机械、电子和信息技术国际会议)

会议地点: 重庆

会议语种:英文

页码: 60-63

在线出版日期: 2016-03-21（万方平台首次上网日期，不代表论文的发表时间）