Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach.

Hanzhe Li|Dazhong Shen|Chao Wang|Yuting Liu|Jingjing Gu


Anthology ID:DBLP:conf/sigir/0001S00G25
Volume:Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
Year:2025
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:570-580
URL:https://doi.org/10.1145/3726302.3729917
DOI:https://doi.org/10.1145/3726302.3729917
DBLP:conf/sigir/0001S00G25
BibTeX:
@inproceedings{li-2025-llms, author = {Hanzhe Li and Dazhong Shen and Chao Wang and Yuting Liu and Jingjing Gu}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach}}, booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}}, pages = {570--580}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3729917}, doi = {https://doi.org/10.1145/3726302.3729917} }