Recommender system simulator with 1,000 agents
Agent4Rec is a recommender system simulator featuring 1,000 agents, designed for researchers and developers in the field of AI and machine learning. It enables users to model and test various recommendation algorithms effectively, making it a valuable tool for advancing recommendation system research. Explore more on GitHub: https://github.com/LehengTHU/Agent4Rec.
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