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MovieLens 1M is a stable benchmark dataset of movie ratings containing 1 million ratings from 6000 users on 4000 movies, released in February 2003. It is available as a downloadable archive with a checksum and README.
Agent4Rec is a recommender system simulator with 1,000 LLM-empowered generative agents initialized from the MovieLens-1M dataset. Each agent interacts with personalized movie recommendations page by page and performs actions such as watching, rating, evaluating, exiting and interviewing. It accompanies the paper "On Generative Agents in Recommendation."
