MovieLens 32M

The MovieLens 32M dataset contains 32 million ratings of movies by users and is used to evaluate collaborative filtering methods for recommender systems.

Papers using MovieLens 32M (2)

Latent Geometry of Taste: Scalable Low-Rank Matrix Factorization for Recommender Systems2026Bridging Conversational and Collaborative Signals for Conversational Recommendation2024