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- BibTeX key
- conf/www/ZhangLHZHGM24
- entry type
- inproceedings
- booktitle
- WWW
- year
- 2024
- pages
- 3241-3252
- publisher
- ACM
- crossref
- conf/www/2024
- ee
- https://doi.org/10.1145/3589334.3645369
- url
- http://dblp.uni-trier.de/db/conf/www/www2024.html#ZhangLHZHGM24
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- please select -%0 Conference Paper
%1 conf/www/ZhangLHZHGM24
%A Zhang, Zheng
%A Liu, Qi
%A Hu, Zirui
%A Zhan, Yi
%A Huang, Zhenya
%A Gao, Weibo
%A Mao, Qingyang
%B WWW
%D 2024
%E Chua, Tat-Seng
%E Ngo, Chong-Wah
%E Kumar, Ravi
%E Lauw, Hady W.
%E Lee, Roy Ka-Wei
%I ACM
%K dblp
%P 3241-3252
%T Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling.
%U http://dblp.uni-trier.de/db/conf/www/www2024.html#ZhangLHZHGM24
@inproceedings{conf/www/ZhangLHZHGM24,
added-at = {2024-05-21T00:00:00.000+0200},
author = {Zhang, Zheng and Liu, Qi and Hu, Zirui and Zhan, Yi and Huang, Zhenya and Gao, Weibo and Mao, Qingyang},
biburl = {https://www.bibsonomy.org/bibtex/27657e6c8413d539607d289bef3f4aad4/dblp},
booktitle = {WWW},
crossref = {conf/www/2024},
editor = {Chua, Tat-Seng and Ngo, Chong-Wah and Kumar, Ravi and Lauw, Hady W. and Lee, Roy Ka-Wei},
ee = {https://doi.org/10.1145/3589334.3645369},
interhash = {09c41be1be3035c3fa1aa4132f5d52e2},
intrahash = {7657e6c8413d539607d289bef3f4aad4},
keywords = {dblp},
pages = {3241-3252},
publisher = {ACM},
timestamp = {2024-05-27T07:11:09.000+0200},
title = {Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling.},
url = {http://dblp.uni-trier.de/db/conf/www/www2024.html#ZhangLHZHGM24},
year = 2024
}