Automatic Modeling of Frequent User Behaviours in Intelligent Environments

Abstract

Intelligent Environments depend on their capability to understand and anticipate user’s habits and needs. Therefore, learning user’s common behaviours becomes an important step towards allowing an environment to provide such personalized services. Due to the complexity of the entire learning system, this paper will focus on the automatic discovering of models of user’s behaviours. Discovering the models means to discover the order of such actions, representing user’s behaviours as sequences of actions.