Maximizing Marginal Fairness for Dynamic Learning to Rank.
| Anthology ID: | DBLP:conf/www/YangA21 |
|---|---|
| Volume: | WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. |
| Year: | 2021 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM / IW3C2 |
| Pages: | 137-145 |
| URL: | https://doi.org/10.1145/3442381.3449901 |
| DOI: | https://doi.org/10.1145/3442381.3449901 |
| DBLP: | conf/www/YangA21 |
| BibTeX: |
@inproceedings{yang-2021-maximizing,
author = {Tao Yang and
Qingyao Ai},
editor = {Jure Leskovec and
Marko Grobelnik and
Marc Najork and
Jie Tang and
Leila Zia},
title = {{Maximizing Marginal Fairness for Dynamic Learning to Rank}},
booktitle = {{WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021}},
pages = {137--145},
publisher = {ACM / IW3C2},
year = {2021},
url = {https://doi.org/10.1145/3442381.3449901},
doi = {https://doi.org/10.1145/3442381.3449901}
}