Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach.
Tao Yang|Cuize Han|Chen Luo|Parth Gupta|Jeff M. Phillips|Qingyao Ai
| Anthology ID: | DBLP:conf/www/0030H0GPA24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1486-1496 |
| URL: | https://doi.org/10.1145/3589334.3645487 |
| DOI: | https://doi.org/10.1145/3589334.3645487 |
| DBLP: | conf/www/0030H0GPA24 |
| BibTeX: |
@inproceedings{yang-2024-mitigating,
author = {Tao Yang and
Cuize Han and
Chen Luo and
Parth Gupta and
Jeff M. Phillips and
Qingyao Ai},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {1486--1496},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645487},
doi = {https://doi.org/10.1145/3589334.3645487}
}