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A/B testing

Known as: Ab testing, Split testing, A/B test 
In marketing and business intelligence, A/B testing is a term for a randomized experiment with two variants, A and B, which are the control and… 
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Related topics

Related topics

18 relations
Big dataCall to action (marketing)Choice modellingConversion rate optimization

Broader (1)

Software testing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Improving Ad Click Prediction by Considering Non-displayed Events
Click-through rate (CTR) prediction is the core problem of building advertising systems. Most existing state-of-the-art… 
Highly Cited
2018
Highly Cited
2018
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
Tasks such as search and recommendation have become increasingly important for E-commerce to deal with the information overload… 
2017
2017
Limitations of Design-based Causal Inference and A/B Testing under Arbitrary and Network Interference
Randomized experiments on a network often involve interference between connected units, namely, a situation in which an… 
Highly Cited
2016
Highly Cited
2016
Temporal predication of dropouts in MOOCs: Reaching the low hanging fruit through stacking generalization
2016
2016
Encouraging Metacognition & Self-Regulation in MOOCs through Increased Learner Feedback
Learning analytics for learners has the ability to greatly improve learners’ self-regulation. Current learner dashboards are… 
Highly Cited
2015
Highly Cited
2015
Network A/B Testing: From Sampling to Estimation
A/B testing, also known as bucket testing, split testing, or controlled experiment, is a standard way to evaluate user engagement… 
Review
2015
Review
2015
The Law and Ethics of Experiments on Social Media Users
If you were on Facebook in January 2012, there is a chance that it tried to make you sad. If you were on OkCupid, there is a… 
2014
2014
Improving daily deals recommendation using explore-then-exploit strategies
Daily-Deals Sites (DDSs) enable local businesses, such as restaurants and stores, to promote their products and services and to… 
Highly Cited
2011
Highly Cited
2011
Deriving Water Fraction and Flood Maps From MODIS Images Using a Decision Tree Approach
This study investigates how to derive water fraction and flood mapping from the Moderate-Resolution Imaging Spectroradiometer… 
2009
2009
Numerical simulation of split test process for asphalt mixture under heterogeneous state
In order to analyze the influence of heterogeneity on asphalt mixture split test, a realistic failure process analysis program… 
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