90 citations · 126 across the 6 of their papers we have counts for
6 papers
Measuring e-Commerce Metric Changes in Online Experiments
C. H. Bryan Liu, Emma J. McCoy
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 transac…
An Evaluation Framework for Personalization Strategy Experiment Designs
C. H. Bryan Liu, Emma J. McCoy
Online Controlled Experiments (OCEs) are the gold standard in evaluating the effectiveness of changes to websites. An important type of OCE evaluates different personalization stra…
Online Controlled Experiments for Personalised e-Commerce Strategies: Design, Challenges, and Pitfalls
C. H. Bryan Liu, Benjamin Paul Chamberlain
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 serv…
Speeding Up BigClam Implementation on SNAP
C. H. Bryan Liu, Benjamin Paul Chamberlain
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 p…
Generalising Random Forest Parameter Optimisation to Include Stability and Cost
C. H. Bryan Liu, Benjamin Paul Chamberlain, Duncan A. Little +1
Random forests are among the most popular classification and regression methods used in industrial applications. To be effective, the parameters of random forests must be carefully…
Customer Lifetime Value Prediction Using Embeddings
Benjamin Paul Chamberlain, Angelo Cardoso, C. H. Bryan Liu +2
We describe the Customer LifeTime Value (CLTV) prediction system deployed at ASOS.com, a global online fashion retailer. CLTV prediction is an important problem in e-commerce where…