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} }