Title :
A fuzzy Web surfer model
Author :
Narayan, B.L. ; Pal, Sankar K.
Author_Institution :
Machine Intelligence Unit, Indian Stat. Inst., Calcutta, India
Abstract :
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.
Keywords :
Markov processes; Web sites; fuzzy set theory; online front-ends; Web page; fuzzy Markov chain; fuzzy Web surfer model; Algorithm design and analysis; Color; Content based retrieval; Fuzzy sets; Machine intelligence; Phase estimation; Robustness; Uncertainty; Web pages; Web sites;
Conference_Titel :
Web Intelligence, 2005. Proceedings. The 2005 IEEE/WIC/ACM International Conference on
Print_ISBN :
0-7695-2415-X
