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

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3681))

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.

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© 2005 Springer-Verlag Berlin Heidelberg

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Corallo, A., Elia, G., Lorenzo, G., Solazzo, G. (2005). A Knowledge-Based Interaction Model Between Users and an Adaptive Information System. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_103

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  • DOI: https://doi.org/10.1007/11552413_103

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28894-7

  • Online ISBN: 978-3-540-31983-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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