Customer Lifetime Value and Its Application in Retail Analytics

Customer Lifetime Value (CLV) is a relatively new framework stemming from the idea of “treatment of customers as an asset”, in use at innovative companies like Harrah’s, IBM, and Capital One. The definition is a fairly natural one: CLV is the net present value of profit from all the future purchases a customer is going to … More Customer Lifetime Value and Its Application in Retail Analytics

Lifting the Fog on Machine Learning Maths

Confession: As a computer scientist, I have always been comfortable with discrete mathematics. However, continuous maths, especially the type commonly seen in statistical machine learning, have always been a challenge for me. In fact, I lived through the last 15 years of my professional life in a more-or-less constant fog of partial understanding when it … More Lifting the Fog on Machine Learning Maths

Large-scale Subscriber Preference Modelling for Telcos – Part 2

In Part 1 of this blog article, we looked at the problem of tokenising a URL as an intermediate step towards learning user preference models from browsing histories. In Part 2, we next look at the problem of learning a URL classifier model from the preprocessed Shalla dataset using Support Vector Machines. A standard way … More Large-scale Subscriber Preference Modelling for Telcos – Part 2

Large-scale Subscriber Preference Modelling for Telcos – Part 1

An important way telcos can increase revenue is to improve, within the constraints of privacy laws, provision of personalised services for subscribers. To achieve that, they need to be able to build good subscriber preference models. These can take a number of forms, depending on the specific business context and the exact data available. In this … More Large-scale Subscriber Preference Modelling for Telcos – Part 1