MovieLens

doi:doi:10.57702/9tcsuoex

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, movie-writer relation, and movie-user relation).

BibTex:

@dataset{MovieLens_2024,
    abstract = {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, movie-writer relation, and movie-user relation).},
    author = {MovieLens},
    doi = {10.57702/9tcsuoex},
    institution = {No Organization},
    keyword = {'Collaborative Filtering', 'Dataset', 'Implicit Feedback', 'Interactive Recommender Systems', 'Movie Recommendation', 'Movie ratings', 'MovieLens', 'Movies', 'Rating Data', 'Rating Dataset', 'Ratings', 'Recommendation System', 'Recommendation Systems', 'Recommendation systems', 'Recommender Systems', 'Users', 'director', 'movie', 'movie ratings', 'movie recommendation', 'movie review', 'movie-director relation', 'movie-tag relation', 'movie-user relation', 'movie-writer relation', 'movieLens', 'rating systems', 'recommendation systems', 'recommender systems', 'tag', 'user', 'user cold-start', 'user ratings', 'user-item interactions', 'writer'},
    month = {nov},
    publisher = {TIB},
    title = {MovieLens},
    url = {https://service.tib.eu/ldmservice/dataset/movielens},
    year = {2024}
}