Open AccessHyperlink assessment based on web usage mining
Author(s) -
Przemysław Kazienko,
Marcin Pilarczyk
Publication year - 2006
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
ISBN - 1-59593-417-0
DOI - 10.1145/1149941.1149958
Subject(s) - hyperlink , computer science , usability , web page , world wide web , web mining , quality (philosophy) , association rule learning , information retrieval , data mining , human–computer interaction , philosophy , epistemology
One of the basic methods of web usage mining are association rules that indicate relationships among common use of web pages. Positive and confined negative association rules are the components of the new quality measures: Positive and Negative Quality function, respectively. These functions are used to evaluate the quality of hyperlinks existing on web pages. A number of statistics and the expert validation revealed the usefulness of association rules for the assessment of hyperlink usability.
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