A Model-Agnostic Popularity Debias Training Framework for Click-Through Rate Prediction in Recommender System.

Fan Zhang|Qijie Shen


Anthology ID:DBLP:conf/sigir/ZhangS23
Volume:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
Year:2023
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1760-1764
URL:https://doi.org/10.1145/3539618.3591939
DOI:https://doi.org/10.1145/3539618.3591939
DBLP:conf/sigir/ZhangS23
BibTeX:
@inproceedings{zhang-2023-modelagnostic, author = {Fan Zhang and Qijie Shen}, editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete}, title = {{A Model-Agnostic Popularity Debias Training Framework for Click-Through Rate Prediction in Recommender System}}, booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}}, pages = {1760--1764}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539618.3591939}, doi = {https://doi.org/10.1145/3539618.3591939} }