Trustworthy Analysis of Online A/B Tests: Pitfalls, challenges and solutions.
Alex Deng|Jiannan Lu|Jonthan Litz
| Anthology ID: | DBLP:conf/wsdm/DengLL17 |
|---|---|
| Volume: | Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017 |
| Year: | 2017 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 641-649 |
| URL: | https://doi.org/10.1145/3018661.3018677 |
| DOI: | https://doi.org/10.1145/3018661.3018677 |
| DBLP: | conf/wsdm/DengLL17 |
| BibTeX: |
@inproceedings{deng-2017-trustworthy,
author = {Alex Deng and
Jiannan Lu and
Jonthan Litz},
editor = {Maarten de Rijke and
Milad Shokouhi and
Andrew Tomkins and
Min Zhang},
title = {{Trustworthy Analysis of Online A/B Tests: Pitfalls, challenges and solutions}},
booktitle = {{Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017}},
pages = {641--649},
publisher = {ACM},
year = {2017},
url = {https://doi.org/10.1145/3018661.3018677},
doi = {https://doi.org/10.1145/3018661.3018677}
}