Revisiting Two-tower Models for Unbiased Learning to Rank.
Le Yan|Zhen Qin|Honglei Zhuang|Lili Zhang|Manish Malik|Xuanhui Wang|Michael Bendersky|Marc Najork|Honglei Zhuang|Lili Zhang|Manish Malik|Xuanhui Wang
| Anthology ID: | DBLP:conf/sigir/YanQZWBN22 |
|---|---|
| Volume: | SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022 |
| Year: | 2022 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2410-2414 |
| URL: | https://doi.org/10.1145/3477495.3531837 |
| DOI: | https://doi.org/10.1145/3477495.3531837 |
| DBLP: | conf/sigir/YanQZWBN22 |
| BibTeX: |
@inproceedings{yan-2022-revisiting,
author = {Le Yan and
Zhen Qin and
Honglei Zhuang and
Lili Zhang and
Manish Malik and
Xuanhui Wang and
Michael Bendersky and
Marc Najork and
Honglei Zhuang and
Lili Zhang and
Manish Malik and
Xuanhui Wang},
editor = {Enrique Amig\'{o} and
Pablo Castells and
Julio Gonzalo and
Ben Carterette and
J. Shane Culpepper and
Gabriella Kazai},
title = {{Revisiting Two-tower Models for Unbiased Learning to Rank}},
booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}},
pages = {2410--2414},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3477495.3531837},
doi = {https://doi.org/10.1145/3477495.3531837}
}