ADL: Adaptive Distribution Learning Framework for Multi-Scenario CTR Prediction.
Jinyun Li|Huiwen Zheng|Yuanlin Liu|Minfang Lu|Lixia Wu|Haoyuan Hu
| Anthology ID: | DBLP:conf/sigir/LiLLZLLWH23 |
|---|---|
| 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: | 1786-1790 |
| URL: | https://doi.org/10.1145/3539618.3591944 |
| DOI: | https://doi.org/10.1145/3539618.3591944 |
| DBLP: | conf/sigir/LiLLZLLWH23 |
| BibTeX: |
@inproceedings{li-2023-adl,
author = {Jinyun Li and
Huiwen Zheng and
Yuanlin Liu and
Minfang Lu and
Lixia Wu and
Haoyuan Hu},
editor = {Hsin-Hsi Chen and
Wei-Jou (Edward) Duh and
Hen-Hsen Huang and
Makoto P. Kato and
Josiane Mothe and
Barbara Poblete},
title = {{ADL: Adaptive Distribution Learning Framework for Multi-Scenario CTR Prediction}},
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 = {1786--1790},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539618.3591944},
doi = {https://doi.org/10.1145/3539618.3591944}
}