A Knowledge-Based Interaction Model between Users and an Adaptive Information System

This work approaches the problem of modelling interactions between users and an adaptive system. It is presented the approach adopted in the MAIS1 project for modelling and designing a recommendation vironment for delivering services in a personalized way. The model relies on semantic description of services, on rule-based user profile and on the use of semantic matching algorithms. We also present the design of the recommendation engine, that is the core subcomponent of the Environment, which performs the task to evaluate each service according to user preferences.