7 datasets found

The dataset is a two-mode tensor of user and movie ratings, of size 6, 040 × 3, 706.

The MovieLens-IMDB dataset is a collection of user ratings for movies, with each rating indicating the user's preference for the movie.

The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis), 5(4):1–19, 2015.

The Amazon Books dataset is a collection of user ratings for books, with each rating indicating the user's preference for the book.

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.

CiteULike is a user-article dataset, where each article has a 300-dimension tf-idf vector. XING is a user-view-job dataset where each job is described by a 2738-dimension...

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,...