Applying User Interest on Item-based Recommender System

Abstract

With the development of electronic commerce, there is a growing emphasis on recommender systems. As one of the most mature recommend technology, the collaborative filtering method has been used in personalized recommender system. But the technology is based on rating, which doesn't take the user interest into account. This article gives the improved algorithm which based on ratings and user interest. By the improved algorithm, we can improve the effectiveness of the recommender systems.