Fair Personalized Learner Modeling Without Sensitive Attributes.
Hefei Xu|Min Hou|Le Wu|Fei Liu|Yonghui Yang|Haoyue Bai|Richang Hong|Meng Wang
| Anthology ID: | DBLP:conf/www/XuHW0Y0HW25 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 4612-4624 |
| URL: | https://doi.org/10.1145/3696410.3714787 |
| DOI: | https://doi.org/10.1145/3696410.3714787 |
| DBLP: | conf/www/XuHW0Y0HW25 |
| BibTeX: |
@inproceedings{xu-2025-fair,
author = {Hefei Xu and
Min Hou and
Le Wu and
Fei Liu and
Yonghui Yang and
Haoyue Bai and
Richang Hong and
Meng Wang},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Fair Personalized Learner Modeling Without Sensitive Attributes}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {4612--4624},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714787},
doi = {https://doi.org/10.1145/3696410.3714787}
}