Taste recommends movies and television using ratings and preferences from like-minded viewers.
MovieLens
MovieLens recommends films based on users’ ratings and movie preferences.
About MovieLens
MovieLens is a non-commercial website that offers personalized movie recommendations. Users rate films to build a custom taste profile, and the site then suggests other movies to watch. It also provides movie data with images and trailers, community-applied tags, and search tools for exploring the database, along with a matching algorithm that can be tuned toward preferences such as "less violent", "more realistic", or "more ninja".
The service is run by GroupLens, a research lab at the University of Minnesota, and it is free of advertisements. Using MovieLens contributes to GroupLens' development of experimental tools and interfaces for data exploration and recommendation.
Key features
- Personalized recommendations built from the movies a user rates
- Movie pages with data, images and trailers
- Community-applied tags, plus the ability to apply your own
- Search tools for exploring the movie database
- Finds movies similar to ones you already like
- Matching algorithm can be tuned, e.g. "less violent" or "more ninja"
Best for: Viewers who want free, ad-free movie suggestions and are comfortable rating films for a university research project.
Good for
- Non-commercial and free of advertisements
- Recommendations are based on the user's own ratings and taste profile
- Operated by GroupLens, a research lab at the University of Minnesota
Watch out for
- Getting personalized recommendations requires signing up and rating movies
- Using the site contributes data to GroupLens research, which privacy-sensitive users may want to weigh
MovieLens at a glance
- Website
- movielens.org
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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MovieLens FAQ
Who runs MovieLens?
It is run by GroupLens, a research lab at the University of Minnesota.
How does MovieLens decide what to recommend?
You rate movies to build a custom taste profile, and the site then recommends other movies for you to watch.
Does using MovieLens do anything beyond giving recommendations?
The site states that by using it you help GroupLens develop new experimental tools and interfaces for data exploration and recommendation.
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