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Designing Adaptive Hypermedia for Internet Portals: A Personalization Strategy Featuring Case Base Reasoning with Compositional Adaptation

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 2527)

Abstract

In this paper, we propose that the Case Based Reasoning (CBR) paradigm offers an interesting alternative to developing adaptive hypermedia systems, such that the inherent analogy-based reasoning strategy can inductively yield a ‘representative’ user model and the case adaptation techniques can be used for dynamic adaptive personalization of generic hypermedia-based information content. User modeling is achieved by applying an ontology-guided CBR retrieval technique to collect a set of similar past cases which are used to form a global user-model. Adaptive personalization is accomplished by a compositional adaptation technique that dynamically authors a personalized hypermedia document-a composite of multiple finegrained information ‘snippets’-by selectively collecting the most relevant information items from matched past cases (i.e. not the entire past solution) and systematically amalgamating them to realize a component-based personalized hypermedia document.

Keywords

  • Total Distance
  • Case Base Reasoning
  • Acute Disease
  • Health Profile
  • Past Case

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© 2002 Springer-Verlag Berlin Heidelberg

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Sibte Raza Abidi, S. (2002). Designing Adaptive Hypermedia for Internet Portals: A Personalization Strategy Featuring Case Base Reasoning with Compositional Adaptation. In: Garijo, F.J., Riquelme, J.C., Toro, M. (eds) Advances in Artificial Intelligence — IBERAMIA 2002. IBERAMIA 2002. Lecture Notes in Computer Science(), vol 2527. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36131-6_7

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  • DOI: https://doi.org/10.1007/3-540-36131-6_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00131-7

  • Online ISBN: 978-3-540-36131-2

  • eBook Packages: Springer Book Archive

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