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} }