Policy-Gradient Training of Fair and Unbiased Ranking Functions.
Himank Yadav|Zhengxiao Du|Thorsten Joachims
| Anthology ID: | DBLP:conf/sigir/YadavDJ21 |
|---|---|
| Volume: | SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 |
| Year: | 2021 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1044-1053 |
| URL: | https://doi.org/10.1145/3404835.3462953 |
| DOI: | https://doi.org/10.1145/3404835.3462953 |
| DBLP: | conf/sigir/YadavDJ21 |
| BibTeX: |
@inproceedings{yadav-2021-policygradient,
author = {Himank Yadav and
Zhengxiao Du and
Thorsten Joachims},
editor = {Fernando Diaz and
Chirag Shah and
Torsten Suel and
Pablo Castells and
Rosie Jones and
Tetsuya Sakai},
title = {{Policy-Gradient Training of Fair and Unbiased Ranking Functions}},
booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}},
pages = {1044--1053},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3404835.3462953},
doi = {https://doi.org/10.1145/3404835.3462953}
}