Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness.
Yuying Zhao|Minghua Xu|Huiyuan Chen|Yuzhong Chen|Yiwei Cai|Rashidul Islam|Yu Wang|Tyler Derr
| Anthology ID: | DBLP:conf/www/Zhao0CCCI0D24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1237-1248 |
| URL: | https://doi.org/10.1145/3589334.3645662 |
| DOI: | https://doi.org/10.1145/3589334.3645662 |
| DBLP: | conf/www/Zhao0CCCI0D24 |
| BibTeX: |
@inproceedings{zhao-2024-one,
author = {Yuying Zhao and
Minghua Xu and
Huiyuan Chen and
Yuzhong Chen and
Yiwei Cai and
Rashidul Islam and
Yu Wang and
Tyler Derr},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {1237--1248},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645662},
doi = {https://doi.org/10.1145/3589334.3645662}
}