Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation.

Yang Zhang|Tianhao Shi|Fuli Feng|Wenjie Wang|Dingxian Wang|Xiangnan He|Yongdong Zhang


Anthology ID:DBLP:conf/sigir/ZhangSFWW0023
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:1386-1395
URL:https://doi.org/10.1145/3539618.3591755
DOI:https://doi.org/10.1145/3539618.3591755
DBLP:conf/sigir/ZhangSFWW0023
BibTeX:
@inproceedings{zhang-2023-reformulating, author = {Yang Zhang and Tianhao Shi and Fuli Feng and Wenjie Wang and Dingxian Wang and Xiangnan He and Yongdong Zhang}, editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete}, title = {{Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation}}, 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 = {1386--1395}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539618.3591755}, doi = {https://doi.org/10.1145/3539618.3591755} }