Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning.

Dario Simionato|Hadas Raviv|Weiguo Wang|Andrea Tonon|Sachin Pathiyan Cherumanal|Mingxue Wang|Andrea Tonon|Sachin Pathiyan Cherumanal|Hadas Raviv|Weiguo Wang|Tong Gui|Xiaoyue Li


Anthology ID:DBLP:conf/sigir/SimionatoTWWGL26
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:4891-4895
URL:https://doi.org/10.1145/3805712.3808519
DOI:https://doi.org/10.1145/3805712.3808519
DBLP:conf/sigir/SimionatoTWWGL26
BibTeX:
@inproceedings{simionato-2026-efficient, author = {Dario Simionato and Hadas Raviv and Weiguo Wang and Andrea Tonon and Sachin Pathiyan Cherumanal and Mingxue Wang and Andrea Tonon and Sachin Pathiyan Cherumanal and Hadas Raviv and Weiguo Wang and Tong Gui and Xiaoyue Li}, 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 = {{Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {4891--4895}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3808519}, doi = {https://doi.org/10.1145/3805712.3808519} }