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}
}