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http://dx.doi.org/10.5391/JKIIS.2009.19.2.242

A Movie Rating Prediction System of User Propensity Analysis based on Collaborative Filtering and Fuzzy System  

Lee, Soo-Jin (부산대학교 전자전기공학과)
Jeon, Tae-Ryong (부산대학교 전자전기공학과)
Baek, Gyeong-Dong (부산대학교 전자전기공학과)
Kim, Sung-Shin (부산대학교 전자전기공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.19, no.2, 2009 , pp. 242-247 More about this Journal
Abstract
Recently an intelligent system is developed for the service what users want not a passive system which just answered user's request. This intelligent system is used for personalized recommendation system and representative techniques are content-based and collaborative filtering. In this study, we propose a prediction system which is based on the techniques of recommendation system using a collaborative filtering and a fuzzy system to solve the collaborative filtering problems. In order to verify the prediction system, we used the data that is user's rating about movies. We predicted the user's rating using this data. The accuracy of this prediction system is determined by computing the RMSE(root mean square error) of the system's prediction against the actual rating about the each movie and is compared with the existing system. Thus, this prediction system can be applied to base technology of recommendation system and also recommendation of multimedia such as music and books.
Keywords
Collaborative filtering; fuzzy system; prediction system; recommendation; movie rating prediction;
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