MovieLens

MovieLens is a dataset that contains user-item interaction data used to evaluate recommendation systems, particularly in the context of top-n recommendations for binary non-sequential feedback.

Papers using MovieLens (3)

Posterior Sampling of Probabilistic Word Embeddings2025Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation2025RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation2023 · 1 cites