MovieLens

MovieLens is a dataset used to evaluate recommendation systems, containing user preferences for movies.

Papers using MovieLens (7)

Building a privacy-preserving Federated Recommender system for mobile devices2026Boosting Asynchronous Decentralized Learning with Model Fragmentation2024 · 1 citesGraph Federated Learning Based Proactive Content Caching in Edge Computing2025FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF2024Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback2021PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems2022FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization2023