5 datasets found

Tags: Rating Data

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  • MovieLens 1M dataset

    The dataset used in this paper is the MovieLens 1M dataset, which contains a 1M 1-5 star ratings by 6,040 users for 3,952 movies.

  • Neural Collaborative Filtering Dataset

    The Neural Collaborative Filtering (NCF) dataset is a collection of user-item interaction data.

  • BookCrossing Dataset

    The BookCrossing dataset is a collection of user-item interaction data.

  • MovieLens 1M

    The associated task is to predict the movie rating on a 5-star scale. This dataset contains 6,040 users, 3,900 movies, and 1,000,209 ratings, i.e., rating matrix is 4.26% full.

  • MovieLens

    The dataset is a movie review dataset with five types of nodes (movie, director, tag, writer, and user) and four types of edges (movie-director relation, movie-tag relation,...
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