Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance.
Aijun Bai|Rolf Jagerman|Zhen Qin|Le Yan|Pratyush Kar|Bing-Rong Lin|Xuanhui Wang|Michael Bendersky|Marc Najork
| Anthology ID: | DBLP:conf/cikm/BaiJ0YKLWBN23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4502-4508 |
| URL: | https://doi.org/10.1145/3583780.3614712 |
| DOI: | https://doi.org/10.1145/3583780.3614712 |
| DBLP: | conf/cikm/BaiJ0YKLWBN23 |
| BibTeX: |
@inproceedings{bai-2023-regression,
author = {Aijun Bai and
Rolf Jagerman and
Zhen Qin and
Le Yan and
Pratyush Kar and
Bing-Rong Lin and
Xuanhui Wang and
Michael Bendersky and
Marc Najork},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {4502--4508},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614712},
doi = {https://doi.org/10.1145/3583780.3614712}
}