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  2. MovieLens - Wikipedia

    en.wikipedia.org/wiki/MovieLens

    The system asks new users to rate how much they enjoy watching various groups of movies (for example, movies with dark humor, versus romantic comedies). The preferences recorded by this survey allow the system to make initial recommendations, even before the user has rated a large number of movies on the website.

  3. TasteDive - Wikipedia

    en.wikipedia.org/wiki/TasteDive

    TasteDive (formerly named TasteKid) is an entertainment recommendation engine for films, TV shows, music, video games, books, people, places, and brands. It also has elements of a social media site; it allows users to connect with "tastebuds", people with like minded interests

  4. Recommender system - Wikipedia

    en.wikipedia.org/wiki/Recommender_system

    A recommender system (RecSys), or a recommendation system (sometimes replacing system with terms such as platform, engine, or algorithm), is a subclass of information filtering system that provides suggestions for items that are most pertinent to a particular user.

  5. Collaborative filtering - Wikipedia

    en.wikipedia.org/wiki/Collaborative_filtering

    In order to make appropriate recommendations for a new user, the system must first learn the user's preferences by analysing past voting or rating activities. The collaborative filtering system requires a substantial number of users to rate a new item before that item can be recommended.

  6. 10 Best Free Movie Websites and Apps - AOL

    www.aol.com/10-best-free-movie-websites...

    The best free movie apps offer a wide variety of films and plenty of ways to watch them. Check out these top picks for alternatives to paid streaming services. 10 Best Free Movie Websites and Apps

  7. The AOL.com video experience serves up the best video content from AOL and around the web, curating informative and entertaining snackable videos.

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