A knowledge-based interaction model between users and an adaptive information system

  • Authors:
  • Angelo Corallo;Gianluca Elia;Gianluca Lorenzo;Gianluca Solazzo

  • Affiliations:
  • e-Business Management School – ISUFI, University of Lecce, Lecce, Italy;e-Business Management School – ISUFI, University of Lecce, Lecce, Italy;e-Business Management School – ISUFI, University of Lecce, Lecce, Italy;e-Business Management School – ISUFI, University of Lecce, Lecce, Italy

  • Venue:
  • KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
  • Year:
  • 2005

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Abstract

This work approaches the problem of modelling interactions between users and an adaptive system. It is presented the approach adopted in the MAIS project for modelling and designing a recommendation environment for delivering services in a personalized way. The model relies on semantic description of services, on rule-based user profile (part of these studies came from the experience in the KIWI project) 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.