Trust -based collaborative filtering algorithm

摘要：

The rapid development of internet has brought us into the era of information explosion, which brings the widespread application of the personalized recommendation system. Collaborative filtering recommendation algorithm is the most widely used algorithms in the personalized recommended system, but it faces problems like the data sparsity, cold start, idler attack. With the development of social network, many e-commerce sites, social network sites introduce the trust mechanism, which becomes the new approach to overcome the problems of the traditional collaborative filtering algorithms. This paper first introduces the collaborative filtering recommendation algorithm and the existing problems, and then summarizes the current trust based collaborative filtering algorithms. For the trust based collaborative filtering algorithms, this paper summarizes the trust expressions and metrics, and focus on analyzing the representative trust models.

关键词： Personalized recommendation collaborative filtering algorithm trust

作者: Xiaowei Xu Fudong Wang

作者单位: Glorious Sun School of Business and Management. Donghua University Shanghai, China Glorious Sun School of Business and Management Donghua University Shanghai, China

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 321-324

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）