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Summary: In Lecture Notes in Computer Science/Artificial Intelligence: 8th
Iberamia
Conference on Artificial Intelligence, Seville, 2002
Designing Adaptive Hypermedia for Internet Portals:
A Personalization Strategy Featuring Case Base
Reasoning With Compositional Adaptation
Syed Sibte Raza Abidi
Faculty of Computer Science, Dalhousie University, Halifax B3H 1W5, Canada
Email: sraza@cs.dal.ca
Abstract. 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 CBR retrieval
techniques 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
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