An Unbiased Entire-Space Causal Framework for Click-Through Rate Estimation in Pre-Ranking.
Xuanlin Li|Xiangyu Cai|Hao Peng|Jia Duan|Wei Wang|Zehua Zhang|Changping Peng|Zhangang Lin|Ching Law|Jingping Shao
| Anthology ID: | DBLP:conf/www/LiCPD0ZPLLS25 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 306-314 |
| URL: | https://doi.org/10.1145/3701716.3715210 |
| DOI: | https://doi.org/10.1145/3701716.3715210 |
| DBLP: | conf/www/LiCPD0ZPLLS25 |
| BibTeX: |
@inproceedings{li-2025-unbiased,
author = {Xuanlin Li and
Xiangyu Cai and
Hao Peng and
Jia Duan and
Wei Wang and
Zehua Zhang and
Changping Peng and
Zhangang Lin and
Ching Law and
Jingping Shao},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{An Unbiased Entire-Space Causal Framework for Click-Through Rate Estimation in Pre-Ranking}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {306--314},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3715210},
doi = {https://doi.org/10.1145/3701716.3715210}
}