Personalized recommendation system K- neighbor algorithm optimization

摘要

This paper mainly discussed the recommended user-based collaborative filtering algorithm, and deeply studied the recommended results that generated were from the modeling system. Furthermore, we pointed out the problems in the K-nearest neighbors algorithm, and proposed improvement on it. Additionally, this paper presented the merits and demerits of personalized recommendation algorithm. Finally it notes the future development focus.