Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments.
Somit Gupta|Xiaolin Shi|Pavel A. Dmitriev|Xin Fu|Avijit Mukherjee
| Anthology ID: | DBLP:conf/wsdm/GuptaSDFM20 |
|---|---|
| Volume: | WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020 |
| Year: | 2020 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 877-880 |
| URL: | https://doi.org/10.1145/3336191.3371871 |
| DOI: | https://doi.org/10.1145/3336191.3371871 |
| DBLP: | conf/wsdm/GuptaSDFM20 |
| BibTeX: |
@inproceedings{gupta-2020-challenges,
author = {Somit Gupta and
Xiaolin Shi and
Pavel A. Dmitriev and
Xin Fu and
Avijit Mukherjee},
editor = {James Caverlee and
Xia Ben Hu and
Mounia Lalmas-Roelleke and
Wei Wang},
title = {{Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments}},
booktitle = {{WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020}},
pages = {877--880},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3336191.3371871},
doi = {https://doi.org/10.1145/3336191.3371871}
}