Fuzzy web surfer models: theory and experiments
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
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A novel web surfer model, where the transitions between web pages are fuzzy quantities, is proposed in this article. Such a model is appropriate when the links between pages are imprecise. The theoretical aspects of modeling the uncertainty associated with links are discussed. The advantages and limitations of the proposed methodology, which is based on the theory of fuzzy Markov chains, are described. Situations where fuzzy web surfer models are appropriate compared to existing models are highlighted.