Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing.
Yinqiu Huang|Shuli Wang|Min Gao|Xue Wei|Changhao Li|Chuan Luo|Yinhua Zhu|Xiong Xiao|Yi Luo
| Anthology ID: | DBLP:conf/www/HuangW0WLLZX024 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 226-234 |
| URL: | https://doi.org/10.1145/3589335.3648320 |
| DOI: | https://doi.org/10.1145/3589335.3648320 |
| DBLP: | conf/www/HuangW0WLLZX024 |
| BibTeX: |
@inproceedings{huang-2024-entire,
author = {Yinqiu Huang and
Shuli Wang and
Min Gao and
Xue Wei and
Changhao Li and
Chuan Luo and
Yinhua Zhu and
Xiong Xiao and
Yi Luo},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Roy Ka-Wei Lee and
Ravi Kumar and
Hady Wirawan Lauw},
title = {{Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}},
pages = {226--234},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589335.3648320},
doi = {https://doi.org/10.1145/3589335.3648320}
}