Towards Long-term Fairness in Recommendation.
Yingqiang Ge|Shuchang Liu|Ruoyuan Gao|Yikun Xian|Yunqi Li|Xiangyu Zhao|Changhua Pei|Fei Sun|Junfeng Ge|Wenwu Ou|Yongfeng Zhang
| Anthology ID: | DBLP:conf/wsdm/GeLGXLZP0GOZ21 |
|---|---|
| Volume: | WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021 |
| Year: | 2021 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 445-453 |
| URL: | https://doi.org/10.1145/3437963.3441824 |
| DOI: | https://doi.org/10.1145/3437963.3441824 |
| DBLP: | conf/wsdm/GeLGXLZP0GOZ21 |
| BibTeX: |
@inproceedings{ge-2021-towards,
author = {Yingqiang Ge and
Shuchang Liu and
Ruoyuan Gao and
Yikun Xian and
Yunqi Li and
Xiangyu Zhao and
Changhua Pei and
Fei Sun and
Junfeng Ge and
Wenwu Ou and
Yongfeng Zhang},
editor = {Liane Lewin-Eytan and
David Carmel and
Elad Yom-Tov and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{Towards Long-term Fairness in Recommendation}},
booktitle = {{WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021}},
pages = {445--453},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3437963.3441824},
doi = {https://doi.org/10.1145/3437963.3441824}
}