Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems.
Kai Zheng|Haijun Zhao|Rui Huang|Beichuan Zhang|Na Mou|Yanan Niu|Yang Song|Hongning Wang|Kun Gai
| Anthology ID: | DBLP:conf/www/ZhengZH0MNSWG24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3621-3631 |
| URL: | https://doi.org/10.1145/3589334.3645523 |
| DOI: | https://doi.org/10.1145/3589334.3645523 |
| DBLP: | conf/www/ZhengZH0MNSWG24 |
| BibTeX: |
@inproceedings{zheng-2024-full,
author = {Kai Zheng and
Haijun Zhao and
Rui Huang and
Beichuan Zhang and
Na Mou and
Yanan Niu and
Yang Song and
Hongning Wang and
Kun Gai},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {3621--3631},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645523},
doi = {https://doi.org/10.1145/3589334.3645523}
}