Research on Personalized Hybrid Recommendation Method of Commodity Based on Context

摘要

The design of recommendation method is the core of personalized recommendation, and the implementation of recommendation depends on the matching relation between user preference and resource object. This paper proposes a hybrid personalized recommendation method based on context-based collaborative filtering and knowledge recommendation, which is based on personalized recommendation knowledge model, from the view of user's attribute preference and user rating. Finally, the effectiveness of the method is proved by experiments.