10 datasets found

The dataset is a large-scale industrial dataset collected from Kuaishou, containing user interaction data with click-through as labels. The dataset has a maximum history length...

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.

Location prediction forecasts a user’s location based on historical user mobility traces. To tackle the intrinsic sparsity issue of real-world user mobility traces,...

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 Book-Crossing dataset is a book rating dataset that contains rating records of books by users from the Book-Crossing community.

The MovieLens dataset contains questions answerable using Wikidata as the knowledge graph, focusing on questions with a single entity and relation.

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.