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Published in:
2012 | OriginalPaper | Chapter
Improved Collaborative Filtering Method Applied in Movie Recommender System
Authors : Tian Liang, Shunxiang Wu, Da Cao
Published in: Emerging Computation and Information teChnologies for Education
Publisher: Springer Berlin Heidelberg
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Due to the rapid growth of internet, a useful technology named recommender system (RS) become an effective application to make recommendations to users, nowadays, many collaborative recommender systems (CRS) have succeeded in some fields like movies and music web applications; however, there are also some ways for them to be a more effective RS. This paper introduces a new item-based collaborative filtering method which uses mixed similarity, and it also can solve the cold start problem. A series of experiments are accomplished to indicate that the new method can make a better recommendation than the pure item-based collaborative filtering method.