Abstract
The personalized recommendation system can actively recommend to users what they might be interested in. In recent years, with the development of social networks, social recommendation system has become one of the hottest topics in the field of personalized recommendation system. The introduction of the trust relationship in the social network to the recommendation system can effectively improve the accuracy of the recommendation and alleviate the problems of cold start and data sparsity. This paper present a review of the social recommendation system in recent years, and compares and analyzes the trust inference algorithm, recommended key technology and its application progress. We also present hot spots of social recommendation research and directions to improve social recommendation capabilities.
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