A Review of Context-Based Personalized Recommendation Research

In recent years, the context-aware recommendation algorithm has become the main research direction in the field of recommendation systems. It becomes the main task of the context-aware recommendation system to use the context information to further improve the recommendation accuracy and user satisfaction. This paper studies and analyzes the context-aware recommendation system by context extraction and modeling. The key step is how to extract user preferences. At the same time, this article introduces the relevant context recommendation generation techniques. Finally, the full text is summarized and future work is proposed.