关键词: 协同过滤, 潜在因子分析, 推荐系统, 社会推荐, 社交网络

Abstract: By interpreting the common interest between the target user and his or her friends in social network into the latent factors based on the latent variable model, this paper proposes a Social Item Recommendation（SIR） model that encodes both the interest and relationship information such as friendship and friend-of-a-friend in social networks. It extends the SIR model to SIR+ by taking the social features into consideration, when making the inference of social item recommendation. The experimental results demonstrate that both SIR and SIR+ outperform the collaborative filtering methods, and the extended model SIR+ achieves a better performance than SIR model.

Key words: collaborative filtering, latent factor model, recommender system, social recommendation, social network