6 datasets found

The Beauty dataset is a product review dataset crawled from Amazon. The data is split into separate datasets by the top-level product category.

The dataset is a two-mode tensor depicting binary (user, anime) preferences. The tensor contains 1, 300, 160 observed entries, of size 25, 838 × 4, 066.

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.

This dataset is used to evaluate the proposed Disentangled Graph Collaborative Filtering (DGCF) model.

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