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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brusilovsky, P., Kobsa, A. and Vassileva, J. (Eds): Adaptive Hypertext and Hypertext, Kluwer Academic Publishers, Dordrecht, 1998.
Fink, J., Koenemann, J., Noller, S., and Schwab, I.: Putting Personalization into Practice, Communications of the ACM 45:5, 2002.
Aamodt A., Plaza E.: Relating Case-Based Reasoning: Foundational Issues, Methodological Variations and System Approaches, AI Communications, 7:1, 1994
Bradley, K., Rafter, R. and Smyth, B.: Case-Based User Profiling for Content Personalization. In Brusilovsky, P. et al (Eds): Adaptive Hypertext and Adaptive Webbased Systems. Lecture Notes in Computer Science, 1892, Springer Verlag, Berlin, 2000.
Wilke W, Bergmann R.: Techniques and Knowledge Used for Adaptation During Case Based Problem Solving. Lecture Notes in Artificial Intelligence, Vol. 1416. Springer-Verlag, Berlin Heidelberg New York, 1998, pp. 497–505
Bental, D., Cawsey, A., Pearson, J., and Jones, R.: Adapting Web-based Information to the Needs of Patients with Cancer. In Proc. Intl. Conf. On Adaptive Hypertext and Adaptive Web-based Systems, Trento, Italy, 2000
Abidi S.S.R., Han, C.Y. and Abidi, S.R.: Patient Empowerment via ‘Pushed’ Delivery of Personalised Healthcare Educational Content Over the Internet. In 10th World Congress on Medical Informatics (MedInfo’2001), London, 2001.
Abidi S.S.R., Goh A.: A Personalized Healthcare Information Delivery System: Pushing Customized Healthcare Information Over the WWW. In: Hasman A., Blobel B., Dudeck J., Engelbrecht R., Gell G., Prokosch H. (eds.): Medical Infobahn for Europe. IOS Press, Amsterdam, 2000, pp. 663–667
Arshadi N., Badie K.: A Compositional Approach to Solution Adaptation in Case-based Reasoning and its Application to Tutoring Library, Proceedings of 8th German Workshop on Case-Based Reasoning. Lammerbuckel, 2000.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/3-540-36131-6_7
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00131-7
Online ISBN: 978-3-540-36131-2
eBook Packages: Springer Book Archive