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} }