A social recommendation method based on the integration of social relationship and product popularity

Chin-Hui Lai, Shin-Jye Lee, Hung-Ling Huang

Abstract: Highlights•We propose a social recommendation method based on integration of interaction, trust relationships and product popularity.•The proposed method focuses on the analysis of users’ interaction behavior to infer users’ latent interaction relationships.•Users’ co-rated items and the role importance on a social networks are used to infer their implicit trust relationship.•The proposed method aims to accurately analyze users’ preferences in social networks for improving the prediction accuracy.•The proposed method can accurately predict users’ preference and support users’ purchase decision making.