Exponential forgetting collaborative filtering recommendation algorithm incorporatedwith user interest change
Liang Zheng-you · Computer Engineering and Applications Journal · 2011
Collaborative Filtering(CF) is the most successful technologies to date,but traditional collaborative filtering algorithm does not consider the change of users’interests.To solve the problem,this paper presents a CF recommendation algorithm,named item similarity-based CF algorithm,which uses exponential gradual forgetting-based data weight to diminish the importance of each item similarity.The experimental results show that the proposed algorithm can efficiently improve recommendation quality.