A Fuzzy-Based Approach to User Model Refinement in Adaptive Hypermedia Systems

Authors:
Cveta Martinovska
Affiliations:
-
Venue:
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Year:
2002

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Abstract

This paper presents an approach for refinement of the user model in hypermedia applications using fuzzy adaptation rules. The rules register relevant user browsing actions and this way change the strength of relationship between the user model attributes and the concepts of the knowledge domain. The process of fuzzy inference is formalized with fuzzy automaton. Using appropriate authoring tool fuzzy automata provides a method for detecting conflicts and inconsistency in the set of rules, in an automated fashion.