7 datasets found

The Epinions dataset is a large-scale opinion mining dataset. It contains 1 million user-item interactions and is widely used for evaluating the performance of recommender systems.

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.

The dataset used in this paper for recommendation system, it is a bipartite graph of user-item interactions.

The Yelp dataset challenge contains reviews and images of restaurants, with the goal of recommending images for each review.

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,...

The dataset used in the paper is a series of datasets introduced in [46], comprising large corpora of product reviews crawled from Amazon.com. Top-level product categories on...

The Amazon-Book dataset contains user-item interaction data, which is used to evaluate the performance of recommender systems.