Demo Abstract: Explaining Web users' QoE with Factorization Machines

Alexis Huet, Dario Rossi

Abstract: Whereas most of the literature employs classic machine learning techniques (such as C4.5 trees, Random Forest and Support Vector Machines) to improve forecast accuracy of QoE models, in this demo we explore the use of an information filtering system (Factorization Machine) to get fundamental insights and explain the relationship between QoE and different features.