Recommending items to group of users using Matrix Factorization based Collaborative Filtering

Group recommender systems are becoming very popular in the social web owing to their ability to provide a set of recommendations to a group of users. Several group recommender systems have been proposed by extending traditional KNN based Collaborative Filtering. In this paper we explain how to perfo...

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Veröffentlicht in:	Information sciences 2016-06, Vol.345, p.313-324
Hauptverfasser:	Ortega, Fernando, Hernando, Antonio, Bobadilla, Jesus, Kang, Jeon Hyung
Format:	Artikel
Sprache:	eng
Schlagworte:	Collaborative Filtering Factorization Filtering Filtration Group dynamics Group recommender system Matrix Factorization Ratings Recommendations Recommender system Recommender systems State of the art
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