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The rise of internet-based services and products in the late 1990's brought about an unprecedented opportunity for online businesses to engage in large scale data-driven decision making. Over the past two decades, organizations such as…

Online controlled experiments are the primary tool for measuring the causal impact of product changes in digital businesses. It is increasingly common for digital products and services to interact with customers in a personalised way. Using…

Methodology · Statistics 2021-07-02 C. H. Bryan Liu , Benjamin Paul Chamberlain

Online controlled experimentation is widely adopted for evaluating new features in the rapid development cycle for web products and mobile applications. Measurement of the overall experiment sample is a common practice to quantify the…

Human-Computer Interaction · Computer Science 2022-01-27 Zhenyu Zhao , Yan He , Miao Chen

Online experimentation, also known as A/B testing, is the gold standard for measuring product impacts and making business decisions in the tech industry. The validity and utility of experiments, however, hinge on unbiasedness and sufficient…

Applications · Statistics 2020-12-17 Min Liu , Jialiang Mao , Kang Kang

Different software tools have been developed with the purpose of performing offline evaluations of recommender systems. However, the results obtained with these tools may be not directly comparable because of subtle differences in the…

Information Retrieval · Computer Science 2018-10-12 Diego Monti , Giuseppe Rizzo , Maurizio Morisio

Widespread e-commerce activity on the Internet has led to new opportunities to collect vast amounts of micro-level market and nonmarket data. In this paper we share our experiences in collecting, validating, storing and analyzing large…

Statistics Theory · Mathematics 2007-06-13 Ravi Bapna , Paulo Goes , Ram Gopal , James R. Marsden

Digital experimentation and measurement (DEM) capabilities -- the knowledge and tools necessary to run experiments with digital products, services, or experiences and measure their impact -- are fast becoming part of the standard toolkit of…

Applications · Statistics 2024-05-07 C. H. Bryan Liu

This paper reports on the challenges and lessons we learned while running controlled experiments in crowdsourcing platforms. Crowdsourcing is becoming an attractive technique to engage a diverse and large pool of subjects in experimental…

Human-Computer Interaction · Computer Science 2020-11-06 Jorge Ramírez , Marcos Baez , Fabio Casati , Luca Cernuzzi , Boualem Benatallah

Online experiments are widely used to compare specific design alternatives, but they can also be used to produce generalizable knowledge and inform strategic decision making. Doing so often requires sophisticated experimental designs,…

Human-Computer Interaction · Computer Science 2014-09-11 Eytan Bakshy , Dean Eckles , Michael S. Bernstein

The tremendous technological advancement in the last few decades has brought many enterprises to collaborate in a better way while making intelligent decisions. The use of Information Technology tools in obtaining data of people's everyday…

Cryptography and Security · Computer Science 2025-10-29 Ajay Kumar Shrestha , Ralph Deters , Julita Vassileva

Online Controlled Experiments (OCE) are the gold standard to measure impact and guide decisions for digital products and services. Despite many methodological advances in this area, the scarcity of public datasets and the lack of a…

Applications · Statistics 2022-01-19 C. H. Bryan Liu , Ângelo Cardoso , Paul Couturier , Emma J. McCoy

We talk of the internet as digital infrastructure; but we leave the building of rails and roads to the quasi-monopolistic platform providers. Decentralised architectures provide a number of advantages: They are potentially more inclusive…

Computers and Society · Computer Science 2026-02-04 Yvonne Dittrich , Kim Peiter Jørgensen , Ravi Prakash , Willard Rafnsson , Jonas Kastberg Hinrichsen

The main goal of this paper is to define a collaborative innovation process as well as a supporting tool. It is motivated through the increasing competition on global markets and the resultant propagation of decentralized projects with a…

Computers and Society · Computer Science 2019-05-08 Matthias Joiko , Florian Kohnen , Kevin Lapinski , Houda Moudrik , Irawan Nurhas , Florian Paproth , Jan M. Pawlowski

Online discourse takes place in corporate-controlled spaces thought by users to be public realms. These platforms in name enable free speech but in practice implement varying degrees of censorship either by government edict or by uneven and…

Networking and Internet Architecture · Computer Science 2021-08-31 Jay Chen , Barath Raghavan , Paul Schmitt , Tai Liu

The decentralized architecture of Internet sparkled techno-utopian visions of a virtual freedom space for humanity. Peer-to-peer systems, collaborative creation (wikipedia), open source software (Linux), universal shared knowledge, and the…

Computers and Society · Computer Science 2020-10-23 Pedro Garcia Lopez

Social and behavioral scientists increasingly aim to study how humans interact, collaborate, and make decisions alongside artificial intelligence. However, the experimental infrastructure for such work remains underdeveloped: (1) few…

Human-Computer Interaction · Computer Science 2025-10-16 Crystal Qian , Vivian Tsai , Michael Behr , Nada Hussein , Léo Laugier , Nithum Thain , Lucas Dixon

Trust and confidence in democratic institutions is at an all-time low. At the same time, many of the complex issues faced by city administrators and politicians remain unresolved. To tackle these concerns, many argue that citizens should,…

Social and Information Networks · Computer Science 2020-09-30 Jonathan Davies , Rob Procter

We detail an experimental programme we have been testing in our university. Our Advanced Hackspace, attempts to give all members of the university, from students to technicians, free access to the means to develop their own…

Physics Education · Physics 2020-06-30 Nick S. Jones , Oscar Ces

Digital firms routinely run many online experiments on shared user populations. When product decisions are compositional, such as combinations of interface elements, flows, messages, or incentives, the number of feasible interventions grows…

Machine Learning · Statistics 2026-04-13 Xin Wen , Xi Chen , Will Wei Sun , Yichen Zhang

A/B experiments are commonly used in research to compare the effects of changing one or more variables in two different experimental groups - a control group and a treatment group. While the benefits of using A/B experiments are widely…

Software Engineering · Computer Science 2023-09-26 Andrew Hornback , Sungeun An , Scott Bunin , Stephen Buckley , John Kos , Ashok Goel
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