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http://dx.doi.org/10.5391/JKIIS.2015.25.5.431

TV Program Recommender System Using Viewing Time Patterns  

Bang, Hanbyul (Department of Electrical and Computer Engineering, Sungkyunkwan University)
Lee, HyeWoo (Department of Electrical and Computer Engineering, Sungkyunkwan University)
Lee, Jee-Hyong (Department of Electrical and Computer Engineering, Sungkyunkwan University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.25, no.5, 2015 , pp. 431-436 More about this Journal
Abstract
As a number of TV programs broadcast today, researches about TV program recommender system have been studied and many researchers have been studying recommender system to produce recommendation with high accuracy. Recommender system recommends TV program to user by using metadata like genre, plot or calculating users' preferences about TV programs. In this paper, we propose a new TV program Collaborative Filtering Recommender System that exploits viewing time pattern like viewing ratio, relation with finish time and recently viewing history to calculate preference for high-quality of recommendation. To verify usefulness of our research, we also compare our method which utilizes viewing time patterns and baseline which simply recommends TV program of user's most frequently watched channel. Through this experiments, we show that our method very effectively works and recommendation performance increases.
Keywords
TV Program; Recommender System; Viewing time Patterns; Collaborative Filtering;
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