Revisiting Two-tower Models for Unbiased Learning to Rank.

Le Yan|Zhen Qin|Honglei Zhuang|Xuanhui Wang|Michael Bendersky|Marc Najork


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 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 = {{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} }