Agent4Rec
A
Agent4Rec
Simulates 1,000 LLM-powered agents for diverse movie recommendation preferences.
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Agent4Rec is a recommender system simulator that utilizes 1,000 LLM-empowered generative agents to model diverse social traits and preferences in movie recommendations. Built upon the MovieLens-1M dataset, it explores agent behavior in personalized recommendation environments, offering insights into recommendation systems.
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Frequently asked
What does Agent4Rec do?
Agent4Rec is a recommender system simulator that utilizes 1,000 LLM-empowered generative agents to model diverse social traits and preferences in movie recommendations. Built upon the MovieLens-1M dataset, it explores agent behavior in personalized recommendation environments, offering insights into recommendation systems.
When was Agent4Rec founded?
Agent4Rec was founded in 2023.
What industry does Agent4Rec operate in?
Agent4Rec operates in Agentic AI, AI Agent, Multi-Agent Systems, Foundation Model, Large Language Model, Recommender Systems.