A movie recommendation service offering personalized suggestions based on user ratings and reviews, developed by GroupLens Research at the University of Minnesota
MovieLens is a non-commercial, movie recommendation service developed by the GroupLens research lab at the University of Minnesota. It operates a website that provides users with personalized movie recommendations based on how they have rated other movies in the past.
The purpose of MovieLens is to collect movie rating data in order to conduct research on personalized recommendation systems and technology. By analyzing users' movie ratings and reviews, GroupLens researchers are able to develop new algorithms for generating accurate, individualized movie recommendations.
Some key features of MovieLens include:
Over the years, the MovieLens datasets have become a widely-used resource for recommendation system research. The service has over 280,000 users who have contributed over 35 million movie ratings and 1 million movie tag applications.
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