Variance Reduction for Heavy-Tailed Monetization Metrics in Ranking Experiments via Post-Stratification.

Neeti Pokharna|Ellen M. Voorhees|Yatharth Saraf|Olivier Jeunen|Aleksei Ustimenko|Dawn M. Tice|Ellen M. Voorhees|Yatharth Saraf|Aleksei Ustimenko|Dawn M. Tice


Anthology ID:DBLP:conf/sigir/PokharnaJSU26
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:4832-4836
URL:https://doi.org/10.1145/3805712.3808428
DOI:https://doi.org/10.1145/3805712.3808428
DBLP:conf/sigir/PokharnaJSU26
BibTeX:
@inproceedings{pokharna-2026-variance, author = {Neeti Pokharna and Ellen M. Voorhees and Yatharth Saraf and Olivier Jeunen and Aleksei Ustimenko and Dawn M. Tice and Ellen M. Voorhees and Yatharth Saraf and Aleksei Ustimenko and Dawn M. Tice}, 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 = {{Variance Reduction for Heavy-Tailed Monetization Metrics in Ranking Experiments via Post-Stratification}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {4832--4836}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3808428}, doi = {https://doi.org/10.1145/3805712.3808428} }