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} }