On Optimizing Top-K Metrics for Neural Ranking Models.
Rolf Jagerman|Zhen Qin|Xuanhui Wang|Michael Bendersky|Marc Najork
| Anthology ID: | DBLP:conf/sigir/Jagerman0WBN22 |
|---|---|
| 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: | 2303-2307 |
| URL: | https://doi.org/10.1145/3477495.3531849 |
| DOI: | https://doi.org/10.1145/3477495.3531849 |
| DBLP: | conf/sigir/Jagerman0WBN22 |
| BibTeX: |
@inproceedings{jagerman-2022-optimizing,
author = {Rolf Jagerman and
Zhen Qin and
Xuanhui Wang and
Michael Bendersky and
Marc Najork},
editor = {Enrique Amig\'{o} and
Pablo Castells and
Julio Gonzalo and
Ben Carterette and
J. Shane Culpepper and
Gabriella Kazai},
title = {{On Optimizing Top-K Metrics for Neural Ranking Models}},
booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}},
pages = {2303--2307},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3477495.3531849},
doi = {https://doi.org/10.1145/3477495.3531849}
}