RecMind

provenance:github:XMHZZ2018/RecMind

WHAT THIS AGENT DOES

RecMind is a large language model powered agent designed for recommendation tasks. It is presented as a website and was featured in the NAACL'2024 Findings. The agent leverages large language models to generate recommendations. Developers and researchers interested in recommendation systems and natural language processing may find it useful. It currently has 2 stars on GitHub.

PROBLEM IT SOLVES

RecMind automates the process of generating recommendations using large language models, potentially saving time and effort compared to manual methods. It provides a readily available tool for exploring and implementing LLM-based recommendation strategies.

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CAPABILITIES & CONSTRAINTS

TECH & STACK

llm-agentnlprecommendation-systemgithubpython

README

# RecMind

One of the first LLM-based agentic system for recommendation that combines tool use, memory, and self-inspiring planning for zero-shot and few-shot recommendation tasks.

## Paper

**Title:** RecMind: Large Language Model Powered Agent For Recommendation

**Conference:** Findings of the Association for Computational Linguistics: NAACL 2024

**Paper:** https://aclanthology.org/2024.findings-naacl.271/

## Repository Note

This repository is maintained for the RecMind project webpage.

Due to company policy, the source code associated with this paper cannot be open-sourced at this time.

## Citation

If you find this work useful, please cite:

```bibtex
@inproceedings{wang2024recmind,
  title={Recmind: Large language model powered agent for recommendation},
  author={Wang, Yancheng and Jiang, Ziyan and Chen, Zheng and Yang, Fan and Zhou, Yingxue and Cho, Eunah and Fan, Xing and Lu, Yanbin and Huang, Xiaojiang and Yang, Yingzhen},
  booktitle={Findings of the Association for Computational Linguistics: NAACL 2024},
  pages={4351--4364},
  year={2024}
}
```

PUBLIC HISTORY

First discoveredMar 21, 2026

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platformgithub

first seenJul 19, 2024

last updatedMar 14, 2026

last crawled2 months ago

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