RAH! RecSys–Assistant–Human: A Human-Centered Recommendation Framework With LLM Agents
Author:
Affiliation:
1. School of Computer Science, Fudan University, Shanghai, China
2. Seattle, WA, USA
3. Microsoft Research Asia, Shanghai, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6570650/6780646/10572486.pdf?arnumber=10572486
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A survey on large language models for recommendation;World Wide Web;2024-08-22
2. Large Language Model Powered Agents for Information Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10
3. Large Language Model Powered Agents in the Web;Companion Proceedings of the ACM Web Conference 2024;2024-05-13
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