Combating Heterogeneous Model Biases in Recommendations via Boosting

Jinhao Pan, James Caverlee, Ziwei Zhu 0001. Combating Heterogeneous Model Biases in Recommendations via Boosting. In Wolfgang Nejdl, Sören Auer, Meeyoung Cha, Marie-Francine Moens, Marc Najork, editors, Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025. pages 222-231, ACM, 2025. [doi]

@inproceedings{PanC025,
  title = {Combating Heterogeneous Model Biases in Recommendations via Boosting},
  author = {Jinhao Pan and James Caverlee and Ziwei Zhu 0001},
  year = {2025},
  doi = {10.1145/3701551.3703505},
  url = {https://doi.org/10.1145/3701551.3703505},
  researchr = {https://researchr.org/publication/PanC025},
  cites = {0},
  citedby = {0},
  pages = {222-231},
  booktitle = {Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025},
  editor = {Wolfgang Nejdl and Sören Auer and Meeyoung Cha and Marie-Francine Moens and Marc Najork},
  publisher = {ACM},
  isbn = {979-8-4007-1329-3},
}