Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 234,935,614 papers from all fields of science
Search
Sign In
Create Free Account
A/B testing
Known as:
Ab testing
, Split testing
, A/B test
Expand
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…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
18 relations
Big data
Call to action (marketing)
Choice modelling
Conversion rate optimization
Expand
Broader (1)
Software testing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Contextual Price Features for e-Commerce Search Ranking
Ishita K. Khan
,
Aritra Mandal
,
Prathyusha Senthil Kumar
IEEE International Conference on Big Data (Big…
2019
Corpus ID: 211298299
Motivation The price of an item is one of the most useful attributes for e-commerce search. A prominent feature used by the…
Expand
2018
2018
Extractive Headline Generation Based on Learning to Rank for Community Question Answering
Tatsuru Higurashi
,
Hayato Kobayashi
,
Takeshi Masuyama
,
Kazuma Murao
International Conference on Computational…
2018
Corpus ID: 52009825
User-generated content such as the questions on community question answering (CQA) forums does not always come with appropriate…
Expand
2017
2017
An Internet-based Student Admission Screening System utilizing Data Mining
Dolluck Phongphanich
,
Wirat Choonui
2017
Corpus ID: 29250087
This study aimed to propose an internet-based student admission screening system utilizing data mining in order for officers to…
Expand
2016
2016
Innovative Data-Driven Methods to Improve Digital User Experience
Yoo Young Lee
,
Andy Smith
,
Lisa Calvert
,
E. Snajdr
2016
Corpus ID: 63042871
Digital user experience (DUX) is a combination of art and science. From an artistic point of view, DUX should provide a simple…
Expand
2015
2015
The Recommendation Dashboard: A System to Visualise and Organise Recommendations
Gerwald Tschinkel
,
Cecilia di Sciascio
,
Belgin Mutlu
,
Vedran Sabol
International Conference on Information…
2015
Corpus ID: 17372682
Recommender systems are becoming common tools supporting automatic, context-based retrieval of resources. When the number of…
Expand
2014
2014
Improving daily deals recommendation using explore-then-exploit strategies
A. Lacerda
,
Rodrygo L. T. Santos
,
Adriano Veloso
,
N. Ziviani
Information Retrieval Journal
2014
Corpus ID: 16593455
Daily-Deals Sites (DDSs) enable local businesses, such as restaurants and stores, to promote their products and services and to…
Expand
2014
2014
Does Personalization Benefit Everyone in the Same Way ? Multilingual Search Personalization for English vs
Ben Steichen
,
Tuukka Ruotsalo
,
+6 authors
Oswald Barral
2014
Corpus ID: 1582123
Mobile recommender systems have been proven as a promising approach in mobile scenarios to support the decision making process of…
Expand
2014
2014
Constructing & Evaluating Context-Aware Recommender System in a case study with webshop carts and AB-testing
A. Lundgren
,
Linus Lindberg
2014
Corpus ID: 59970652
A potential customer spends around five minutes on a webshop and visits roughly ten pages. To maximise sales it is crucial that…
Expand
2014
2014
At the forge: split testing
Reuven M. Lerner
2014
Corpus ID: 61973064
2012
2012
The Causal Analysis and Countermeasures of Misdiagnosis in TP-Ab Testing by DIGFA
Li-ying Jia
2012
Corpus ID: 76253510
Objective: To analyze the cause and countermeasures of misdiagnosis in TP-Ab testing by DIGFA. Methods: Blood were tested by TP…
Expand