90 citations · 143 across the 6 of their papers we have counts for
6 papers
Datasets for Online Controlled Experiments
C. H. Bryan Liu, Ângelo Cardoso, Paul Couturier +1
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…
Apps, Places and People: strategies, limitations and trade-offs in the physical and digital worlds
Marco De Nadai, Angelo Cardoso, Antonio Lima +2
Cognition has been found to constrain several aspects of human behaviour, such as the number of friends and the number of favourite places a person keeps stable over time. This lim…
A Recurrent Neural Network Survival Model: Predicting Web User Return Time
Georg L. Grob, Ângelo Cardoso, C. H. Bryan Liu +2
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 pr…
Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products
Ângelo Cardoso, Fabio Daolio, Saúl Vargas
In this paper, we describe a solution to tackle a common set of challenges in e-commerce, which arise from the fact that new products are continually being added to the catalogue.…
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…