Leveraging LLM Reasoning Enhances Personalized Recommender Systems

Alicia Tsai, Adam Kraft, Long Jin, Chenwei Cai, Anahita Hosseini, Taibai Xu, Zemin Zhang, Lichan Hong, Ed H. Chi, Xinyang Yi


Anthology ID:
2024.findings-acl.780
Volume:
Findings of the Association for Computational Linguistics: ACL 2024
Month:
August
Year:
2024
Address:
Bangkok, Thailand
Editors:
Lun-Wei Ku, Andre Martins, Vivek Srikumar
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
13176–13188
Language:
URL:
https://aclanthology.org/2024.findings-acl.780
DOI:
10.18653/v1/2024.findings-acl.780
Bibkey:
Cite (ACL):
Alicia Tsai, Adam Kraft, Long Jin, Chenwei Cai, Anahita Hosseini, Taibai Xu, Zemin Zhang, Lichan Hong, Ed H. Chi, and Xinyang Yi. 2024. Leveraging LLM Reasoning Enhances Personalized Recommender Systems. In Findings of the Association for Computational Linguistics: ACL 2024, pages 13176–13188, Bangkok, Thailand. Association for Computational Linguistics.
Cite (Informal):
Leveraging LLM Reasoning Enhances Personalized Recommender Systems (Tsai et al., Findings 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.findings-acl.780.pdf