关键词: 信任, 推荐系统, 协同过滤

Abstract: Collaborative filtering is the main recommendation technology，which suffers from sparsity and scalability problems.A recommender system based on DSmTrust trust model is proposed.The trust transitivity is employed to overcome the sparsity problem and the distributed DSmTrust approach has good scalability.Experiments show that this study has better coverage than collaborative filtering and has higher accuracy than Massa’s trust-aware recommendation approach.

Key words: trust, recommender system, collaborative filtering