Agent4Rec

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Agent4Rec

Simulates 1,000 LLM-powered agents for diverse movie recommendation preferences.

2023Active
Rate

About

Agent4Rec is an open-source recommender system simulator that utilizes 1,000 LLM-empowered generative agents to emulate user interactions with personalized movie recommendations. These agents, initialized from the MovieLens-1M dataset, exhibit diverse social traits and preferences, engaging in realistic interactions such as watching, rating, and evaluating recommended content. The framework explores the potential of LLM-empowered generative agents in simulating human behavior within recommendation environments, offering insights for researchers and developers.
Frequently asked

What does Agent4Rec do?

Agent4Rec is an open-source recommender system simulator that utilizes 1,000 LLM-empowered generative agents to emulate user interactions with personalized movie recommendations. These agents, initialized from the MovieLens-1M dataset, exhibit diverse social traits and preferences, engaging in realistic interactions such as watching, rating, and evaluating recommended content. The framework explores the potential of LLM-empowered generative agents in simulating human behavior within recommendati…

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.

New entrants in Multi-Agent Systems
Last 90 days
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An entrant is a company tagged Multi-Agent Systems whose domain was first registered in the window, counted from registry records in the StartupHub directory. 10 of them registered in the last 30 days. Registry detection runs two to three weeks behind registration, so recent weeks are a floor.

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