Matrix Decomposition Recommendation Algorithm Based on Multiple Social Relationships

摘要

A real society has multiple social relationships between users, but existing social network recommendation algorithms often only introduce a social relationship into the recommendation system. This paper introduces a variety of social relationships into the recommendation system based on a multi-subnet composite complex network model. Based on the analysis of the experimental results on the Epinions dataset, a recommendation algorithm introducing multiple social relationships has a significantly higher recommendation accuracy than a recommendation algorithm.