期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：3
页码：4519
DOI：10.15680/IJIRCCE.2017.0503166
出版社：S&S Publications
摘要：The number of channels andTV shows are increasing day by day andit is very hard for the user to selecta required TV show among many. The recommendation systems for recommending TV programs to users according totheir profile, are used. Recommendation systems are proved to help users to access their favourite items, increasechannel’s TRP. This paper gives review about the various TV program recommendation systems, which uses facedetection, Bayesian model, big data and filtering algorithms like content based and collaborative filtering algorithm.Data mining algorithm plays an important role in recommender systems.
关键词：TV program; Recommendation; Face Detection; Bayesian model; Data mining
