Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems.
Yueqing Xuan|Kacper Sokol|Mark Sanderson|Jeffrey Chan
| Anthology ID: | DBLP:conf/cikm/XuanSSC25 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3720-3729 |
| URL: | https://doi.org/10.1145/3746252.3761263 |
| DOI: | https://doi.org/10.1145/3746252.3761263 |
| DBLP: | conf/cikm/XuanSSC25 |
| BibTeX: |
@inproceedings{xuan-2025-evaluating,
author = {Yueqing Xuan and
Kacper Sokol and
Mark Sanderson and
Jeffrey Chan},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {3720--3729},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761263},
doi = {https://doi.org/10.1145/3746252.3761263}
}