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
- 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)
- PDF:
- https://preview.aclanthology.org/autopr/2024.findings-acl.780.pdf