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Genre-based Collaborative Filtering Movie Recommendation  

Hwang, Ki-Tae (한성대학교 컴퓨터공학과)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.10, no.3, 2010 , pp. 51-59 More about this Journal
Abstract
There have been proposed several movie recommendation algorithms based on Collaborative Filtering(CF). CF decides neighbors whose ratings are the most similar to each other and it predicts how well users will like new movies, based on ratings from neighbors. This paper proposes a new method to improve the result predicted by CF based on genres of the movies seen by users. The proposed method can be combined to the most of all existing CF algorithms. In this paper, a performance evaluation has been conducted between an existing simple CF algorithm and CF-Genre that is the proposed genre-based method added to the CF algorithm. The result shows that CF-Genre improves 3.3% in prediction performance over existing CF algorithms.
Keywords
Movie recommendation; Movie genre; Collaborative filtering;
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