[HTML][HTML] A/B testing: A systematic literature review

F Quin, D Weyns, M Galster, CC Silva - Journal of Systems and Software, 2024 - Elsevier
A/B testing, also referred to as online controlled experimentation or continuous
experimentation, is a form of hypothesis testing where two variants of a piece of software are …

Predicting user satisfaction with intelligent assistants

J Kiseleva, K Williams, A Hassan Awadallah… - Proceedings of the 39th …, 2016 - dl.acm.org
There is a rapid growth in the use of voice-controlled intelligent personal assistants on
mobile devices, such as Microsoft's Cortana, Google Now, and Apple's Siri. They …

[HTML][HTML] Controlled experimentation in continuous experimentation: Knowledge and challenges

F Auer, R Ros, L Kaltenbrunner, P Runeson… - Information and …, 2021 - Elsevier
Context: Continuous experimentation and A/B testing is an established industry practice that
has been researched for more than 10 years. Our aim is to synthesize the conducted …

Data-driven metric development for online controlled experiments: Seven lessons learned

A Deng, X Shi - Proceedings of the 22nd ACM SIGKDD International …, 2016 - dl.acm.org
Online controlled experiments, also called A/B testing, have been established as the mantra
for data-driven decision making in many web-facing companies. In recent years, there are …

Measuring user satisfaction on smart speaker intelligent assistants using intent sensitive query embeddings

SH Hashemi, K Williams, A El Kholy, I Zitouni… - Proceedings of the 27th …, 2018 - dl.acm.org
Intelligent assistants are increasingly being used on smart speaker devices, such as
Amazon Echo, Google Home, Apple Homepod, and Harmon Kardon Invoke with Cortana …

False discovery in A/B testing

R Berman, C Van den Bulte - Management Science, 2022 - pubsonline.informs.org
We investigate what fraction of all significant results in website A/B testing is actually null
effects (ie, the false discovery rate (FDR)). Our data consist of 4,964 effects from 2,766 …

Boosted decision tree regression adjustment for variance reduction in online controlled experiments

A Poyarkov, A Drutsa, A Khalyavin, G Gusev… - Proceedings of the …, 2016 - dl.acm.org
Nowadays, the development of most leading web services is controlled by online
experiments that qualify and quantify the steady stream of their updates achieving more than …

Objective bayesian two sample hypothesis testing for online controlled experiments

A Deng - Proceedings of the 24th International Conference on …, 2015 - dl.acm.org
As A/B testing gains wider adoption in the industry, more people begin to realize the
limitations of the traditional frequentist null hypothesis statistical testing (NHST). The large …

Future user engagement prediction and its application to improve the sensitivity of online experiments

A Drutsa, G Gusev, P Serdyukov - … of the 24th international conference on …, 2015 - dl.acm.org
Modern Internet companies improve their services by means of data-driven decisions that
are based on online controlled experiments (also known as A/B tests). To run more online …

Winner's curse: Bias estimation for total effects of features in online controlled experiments

MR Lee, M Shen - Proceedings of the 24th ACM SIGKDD international …, 2018 - dl.acm.org
Online controlled experiments, or A/B testing, has been a standard framework adopted by
most online product companies to measure the effect of any new change. Companies use …