Dataset: MovieLens Dataset Rating

MovieLens Dataset Rating
Dataset Rating for Movie Recommendation System.

A recommender system, or a recommendation system (sometimes replacing 'system' with a synonym such as a platform or an engine), is a subclass of information filtering systems that provide suggestions for items that are most pertinent to a particular user. Typically, the suggestions refer to various decision-making processes, such as what product to purchase, what music to listen to, or what online news to read. Recommender systems are particularly useful when an individual needs to choose an item from a potentially overwhelming number of items that a service may offer.
The purpose of a recommender system is to suggest relevant items to users.

@kaggle.amirmotefaker_movielens_dataset_for_recommendation_system.ratings


CREATE TABLE ratings (
  "userid" BIGINT,
  "movieid" BIGINT,
  "rating" DOUBLE,
  "timestamp" BIGINT
);