45 datasets found

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 dataset used in this paper is a large-scale dataset for implicit feedback, consisting of user-item interactions, where each interaction is a pair of a user and an item.

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

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

The dataset used in this paper is the MovieLens 20M dataset, which contains ratings from 92,032 users on 20,000 movies.