8 datasets found

The dataset is used for sequential recommendation tasks, and it contains user-item interaction history.

The dataset is used to evaluate the proposed model. It contains a sample of 5.6 × 10^7 edges for movies rated on Netflix.

The dataset is used to evaluate the proposed model. It contains a sample of 4.4 × 10^7 edges for movies viewed on Xbox consoles.

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

The dataset used in this paper is a collaborative filtering dataset, specifically the Million Song Dataset (MSD), which contains listening counts from 1 million users on 50,000...

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

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,...