Diagnosing Identifiability in Two-Tower Models for Unbiased Learning to Rank.
Stan Fris|Philipp Hager|Xin Fu|Philipp Hager|Xin Fu
| Anthology ID: | DBLP:conf/sigir/FrisH26 |
|---|---|
| Volume: | Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026 |
| Year: | 2026 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 358-368 |
| URL: | https://doi.org/10.1145/3805712.3809640 |
| DOI: | https://doi.org/10.1145/3805712.3809640 |
| DBLP: | conf/sigir/FrisH26 |
| BibTeX: |
@inproceedings{fris-2026-diagnosing,
author = {Stan Fris and
Philipp Hager and
Xin Fu and
Philipp Hager and
Xin Fu},
editor = {Hannah Bast and
Alistair Moffat and
Falk Scholer and
Marc Najork and
Min Zhang and
Hannah Bast and
Marc Najork and
Min Zhang},
title = {{Diagnosing Identifiability in Two-Tower Models for Unbiased Learning to Rank}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {358--368},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3809640},
doi = {https://doi.org/10.1145/3805712.3809640}
}