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

  • Authors:
  • Syed Sibte Raza Abidi

  • Affiliations:
  • -

  • Venue:
  • IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
  • Year:
  • 2002

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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 fine-grained 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.