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} }