Comparison of user-based and item-based collaborative filtering methods in recommender system

Nowadays, movies have become one of people’s favorite entertainment. The number of films that reach thousands or even millions make it difficult for film fans to choose the right film to watch as desired. A recommendation system is required to provide recommendations on which movies to watch as they...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Muhammad, Malim, Rosadi, Dedi
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Collaboration Data collection Filtration Motion pictures Ratings Recommender systems Root-mean-square errors User behavior
Online-Zugang:	Volltext
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