Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for Platforms.

Hannah Li|Geng Zhao|Ramesh Johari|Gabriel Y. Weintraub


Anthology ID:DBLP:conf/www/LiZJW22
Volume:WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
Year:2022
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:182-192
URL:https://doi.org/10.1145/3485447.3512063
DOI:https://doi.org/10.1145/3485447.3512063
DBLP:conf/www/LiZJW22
BibTeX:
@inproceedings{li-2022-interference, author = {Hannah Li and Geng Zhao and Ramesh Johari and Gabriel Y. Weintraub}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for Platforms}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {182--192}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3512063}, doi = {https://doi.org/10.1145/3485447.3512063} }