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Kardaras, D.; Mamakou, X. J.; Karakostas, B. (2013)
Publisher: Springer
Languages: English
Types: Conference object
Subjects: web adaptation, hyperlinks’ clustering, [ INFO ] Computer Science [cs], QA76, fuzzy equivalence relation

Classified by OpenAIRE into

Part 2: Data Mining; International audience; Quality design of websites implies that among other factors, hypelinks’ structure should allow the users to reach the information they seek with the minimum number of clicks. This paper utilises the fuzzy equivalence relation based clustering in adapting website hyperlinks’ structure so that the redesigned website allows users to meet as effectively as possible their informational and navigational requirements. The fuzzy tolerance relation is calculated based on the usage rate of hyperlinks in a website. The equivalence relation identifies clusters of hyperlinks. The clusters are then used to realocate hyperlinks in webpages and to rearrange webpages into the website structure hierarchy.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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  • No related research data.
  • Discovered through pilot similarity algorithms. Send us your feedback.

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