Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems.
Bo Chang|Changping Meng|He Ma|Shuo Chang|Yang Gu|Yajun Peng|Jingchen Feng|Yaping Zhang|Shuchao Bi|Ed H. Chi|Minmin Chen
| Anthology ID: | DBLP:conf/www/0002MMCGPFZBCC24 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 151-160 |
| URL: | https://doi.org/10.1145/3589335.3648312 |
| DOI: | https://doi.org/10.1145/3589335.3648312 |
| DBLP: | conf/www/0002MMCGPFZBCC24 |
| BibTeX: |
@inproceedings{chang-2024-cluster,
author = {Bo Chang and
Changping Meng and
He Ma and
Shuo Chang and
Yang Gu and
Yajun Peng and
Jingchen Feng and
Yaping Zhang and
Shuchao Bi and
Ed H. Chi and
Minmin Chen},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Roy Ka-Wei Lee and
Ravi Kumar and
Hady Wirawan Lauw},
title = {{Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}},
pages = {151--160},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589335.3648312},
doi = {https://doi.org/10.1145/3589335.3648312}
}