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