Distributionally-robust Recommendations for Improving Worst-case User Experience.
Hongyi Wen|Xinyang Yi|Tiansheng Yao|Jiaxi Tang|Lichan Hong|Ed H. Chi
| Anthology ID: | DBLP:conf/www/WenYYTHC22 |
|---|---|
| Volume: | WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 |
| Year: | 2022 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3606-3610 |
| URL: | https://doi.org/10.1145/3485447.3512255 |
| DOI: | https://doi.org/10.1145/3485447.3512255 |
| DBLP: | conf/www/WenYYTHC22 |
| BibTeX: |
@inproceedings{wen-2022-distributionallyrobust,
author = {Hongyi Wen and
Xinyang Yi and
Tiansheng Yao and
Jiaxi Tang and
Lichan Hong and
Ed H. Chi},
editor = {Fr\'{e}d\'{e}rique Laforest and
Rapha\"{e}l Troncy and
Elena Simperl and
Deepak Agarwal and
Aristides Gionis and
Ivan Herman and
Lionel M\'{e}dini},
title = {{Distributionally-robust Recommendations for Improving Worst-case User Experience}},
booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}},
pages = {3606--3610},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3485447.3512255},
doi = {https://doi.org/10.1145/3485447.3512255}
}