TV program recommendation by individuating user profile
نویسندگان
چکیده
منابع مشابه
Keyword-Based TV Program Recommendation
Notwithstanding the success of collaborative filtering algorithms for item recommendation there are still situations in which there is a need for content-based recommendation, especially in new-item scenarios, e.g. in streaming broadcasting. Since video content is hard to analyze we use documents describing the videos to compute item similarities. We do not use the descriptions directly, but us...
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Matrix Factorization (MF) is known as an effective technique in collaborative filtering for recommendation. The MF approaches have often been applied for movie recommender systems which have user rating data. However, they cannot effectively be applicable for TV program recommender systems because (i) explicit rating values are not available; (ii) many TV programs are broadcast under single TV ...
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ژورنال
عنوان ژورنال: Transactions of the Japanese Society for Artificial Intelligence
سال: 2015
ISSN: 1346-0714,1346-8030
DOI: 10.1527/tjsai.30.71