Research on personalized recommendation algorithm for user's multiple interests
Yu Li, Lu Liu · Computer Integrated Manufacturing Systems · 2004
Personalized recommendation for E-commerce has become increasingly important for customer relationship management, and the collaborative filtering algorithm is the most widely used method in personalized recommendation. But typical collaborative filtering algorithm is not suitable for user's multiple interest recommendation. A new algorithm which applied user-based collaborative filtering method based on similar item-set of target item by combing user-based collaborative filtering and project-based collaborative filtering was presented. The experiment conducted by applying EachMovie dataset indicated that new algorithm was more accurate, especially in the situation when users had many completely different interests.