Combating Heterogeneous Model Biases in Recommendations via Boosting.

Jinhao Pan|James Caverlee|Ziwei Zhu


Anthology ID:DBLP:conf/wsdm/PanC025
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:222-231
URL:https://doi.org/10.1145/3701551.3703505
DOI:https://doi.org/10.1145/3701551.3703505
DBLP:conf/wsdm/PanC025
BibTeX:
@inproceedings{pan-2025-combating, author = {Jinhao Pan and James Caverlee and Ziwei Zhu}, editor = {Wolfgang Nejdl and S\"{o}ren Auer and Meeyoung Cha and Marie-Francine Moens and Marc Najork}, title = {{Combating Heterogeneous Model Biases in Recommendations via Boosting}}, booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}}, pages = {222--231}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701551.3703505}, doi = {https://doi.org/10.1145/3701551.3703505} }