Summary

Achieving a complete customer characterisation to attribute better and customised products is a trend on the rise. This information filtering process, known as “recommendation system”, increases companies revenues, and improves customer quality-of-experience. Our main goal is to understand the feasibility of a recommendation approach in one particular scenario: recommendation of campaigns. We aim to determine the extent to which it is possible to characterise the customers, using implicit feedback and state-of-the-art recommendation algorithms.