How A/B Tests Could Go Wrong: Automatic Diagnosis of Invalid Online Experiments.

Nanyu Chen|Min Liu|Ya Xu


Anthology ID:DBLP:conf/wsdm/ChenLX19
Volume:Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019
Year:2019
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:501-509
URL:https://doi.org/10.1145/3289600.3291000
DOI:https://doi.org/10.1145/3289600.3291000
DBLP:conf/wsdm/ChenLX19
BibTeX:
@inproceedings{chen-2019-ab, author = {Nanyu Chen and Min Liu and Ya Xu}, editor = {J. Shane Culpepper and Alistair Moffat and Paul N. Bennett and Kristina Lerman}, title = {{How A/B Tests Could Go Wrong: Automatic Diagnosis of Invalid Online Experiments}}, booktitle = {{Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019}}, pages = {501--509}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3289600.3291000}, doi = {https://doi.org/10.1145/3289600.3291000} }