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.
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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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