Recommender systems |
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Concepts |
Methods and challenges |
Implementations |
Research |
MovieLens is a web-based recommender system and virtual community that recommends movies for its users to watch, based on their film preferences using collaborative filtering of members' movie ratings and movie reviews. It contains about 11 million ratings for about 8500 movies.[1] MovieLens was created in 1997 by GroupLens Research, a research lab in the Department of Computer Science and Engineering at the University of Minnesota,[2] in order to gather research data on personalized recommendations.[3]