Towards intelligent personalization of IoT platforms

Trigger-action programming is an emerging paradigm for personalizing the behaviour of Internet of Things applications and services. In this area some recent research efforts have been dedicated to designing environments able to support people without programming experience in specifying the desired personalization rules. Little attention has been paid to how to provide intelligent support in identifying relevant rules. In this position paper we discuss the possible approaches to making such personalization platforms able to exploit the data collected on the behaviour of the users as well as the surrounding devices and things.