A multilayer intelligent system architecture and its application to a music recommendation system

In this paper, we consider the problem of modeling application scenarios characterized by variability over time and involving heterogeneous kinds of knowledge. The evolution of distributed technologies creates new and challenging possibilities of creating innovative architectures that integrate different kinds of problem solving methods, obtaining many benefits from the user point of view. In particular, we propose here a multilayer modeling system and adopt the Wearable Expert System concept to tie together statistical and Artificial Intelligence rule-based methods. A music recommendation system applying this model has been implemented as a Cloud Mobile architecture.