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pro vyhledávání: '"H, Bryan"'
Autor:
Liu, C. H. Bryan
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 digital/d
Externí odkaz:
http://arxiv.org/abs/2405.03579
Autor:
Liu, C. H. Bryan, McCoy, Emma J.
Digital technology organizations routinely use online experiments (e.g. A/B tests) to guide their product and business decisions. In e-commerce, we often measure changes to transaction- or item-based business metrics such as Average Basket Value (ABV
Externí odkaz:
http://arxiv.org/abs/2210.17187
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 systematic review
Externí odkaz:
http://arxiv.org/abs/2111.10198
Publikováno v:
In Journal of Clinical Lipidology May-June 2024 18(3):e374-e383
Autor:
Liu, C. H. Bryan, McCoy, Emma J.
Online Controlled Experiments (OCEs) are the gold standard in evaluating the effectiveness of changes to websites. An important type of OCE evaluates different personalization strategies, which present challenges in low test power and lack of full co
Externí odkaz:
http://arxiv.org/abs/2007.11638
Experimentation and Measurement (E&M) capabilities allow organizations to accurately assess the impact of new propositions and to experiment with many variants of existing products. However, until now, the question of measuring the measurer, or valui
Externí odkaz:
http://arxiv.org/abs/1909.03457
Autor:
Grob, Georg L., Cardoso, Ângelo, Liu, C. H. Bryan, Little, Duncan A., Chamberlain, Benjamin Paul
Publikováno v:
Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2018. Lecture Notes in Computer Science, vol 11053. pp 152-168
The size of a website's active user base directly affects its value. Thus, it is important to monitor and influence a user's likelihood to return to a site. Essential to this is predicting when a user will return. Current state of the art approaches
Externí odkaz:
http://arxiv.org/abs/1807.04098
The importance of Facebook advertising has risen dramatically in recent years, with the platform accounting for almost 20% of the global online ad spend in 2017. An important consideration in advertising is incrementality: how much of the change in a
Externí odkaz:
http://arxiv.org/abs/1806.02588
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 online co
Externí odkaz:
http://arxiv.org/abs/1803.06258
Publikováno v:
2018 Imperial College Computing Student Workshop (ICCSW 2018). OpenAccess Series in Informatics (OASIcs), vol. 66, pp. 1:1-1:13
We perform a detailed analysis of the C++ implementation of the Cluster Affiliation Model for Big Networks (BigClam) on the Stanford Network Analysis Project (SNAP). BigClam is a popular graph mining algorithm that is capable of finding overlapping c
Externí odkaz:
http://arxiv.org/abs/1712.01209