Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration.
Hongji Li|Hanwen Du|Youhua Li|Junchen Fu|Chunxiao Li|Ziyi Zhuang|Jiakang Li|Yongxin Ni
| Anthology ID: | DBLP:conf/wsdm/LiDLFLZLN25 |
|---|---|
| Volume: | Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025 |
| Year: | 2025 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 782-791 |
| URL: | https://doi.org/10.1145/3701551.3703507 |
| DOI: | https://doi.org/10.1145/3701551.3703507 |
| DBLP: | conf/wsdm/LiDLFLZLN25 |
| BibTeX: |
@inproceedings{li-2025-teach,
author = {Hongji Li and
Hanwen Du and
Youhua Li and
Junchen Fu and
Chunxiao Li and
Ziyi Zhuang and
Jiakang Li and
Yongxin Ni},
editor = {Wolfgang Nejdl and
S\"{o}ren Auer and
Meeyoung Cha and
Marie-Francine Moens and
Marc Najork},
title = {{Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration}},
booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}},
pages = {782--791},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701551.3703507},
doi = {https://doi.org/10.1145/3701551.3703507}
}