A Collaborative Filtering Recommendation Algorithm Based on User Interest
Zhenyu Chen, Wenye Yu · Advances in computer science research · 2015
Collaborative filtering recommendation is one of the most successful technologies for applying in recommendation system of E-commerce websites.However, the traditional collaborative filtering recommendation system is under-powered for dealing with user interest and data sparsity.To solve this problem, this paper proposes a collaborative filtering recommendation algorithm based on user interest (CFRUI).The algorithm introduces user interest weights to establish user-item rating matrix, implements similarity calculation by clustering analysis, so as to get the final recommended result.The experiment results show the algorithm can make effectively utilization of user interest to improve recommended quality.