MovieLens-25M
Emerging4papers using it
2023first seen
The 'MovieLens 25M' dataset contains 25 million ratings and tag applications from users on movies, and it is used to evaluate recommender systems by providing a large-scale benchmark for personalized movie recommendations.
Papers using MovieLens-25M (4)
- ExplainRec: Towards Explainable Multi-Modal Zero-Shot Recommendation with Preference Attribution and Large Language ModelsLLM4Rec: Large Language Models for Multimodal Generative Recommendation with Causal DebiasingMulti-Selection for Recommendation SystemsFactual and Personalized Recommendations using Language Models and
Reinforcement Learning