Hyperlink assessment based on web usage mining

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.

[1]  Xiaohui Yuan,et al.  Mining negative association rules , 2002, Proceedings ISCC 2002 Seventh International Symposium on Computers and Communications.

[2]  Xindong Wu,et al.  Efficient mining of both positive and negative association rules , 2004, TOIS.

[3]  Georgios Paliouras,et al.  Web Usage Mining as a Tool for Personalization: A Survey , 2003, User Modeling and User-Adapted Interaction.

[4]  Osmar R. Zaïane,et al.  Mining Positive and Negative Association Rules: An Approach for Confined Rules , 2004, PKDD.

[5]  Przemyslaw Kazienko,et al.  PersonalizedWeb Advertising Method , 2004, AH.

[6]  Gerry McGovern,et al.  The Web Content Style Guide: An Essential Reference for Online Writers, Editors and Managers , 2001 .

[7]  Wen-Kui Chang,et al.  Validating Hyperlinks by the Mobile-Agent Approach , 2001 .

[8]  Przemyslaw Kazienko,et al.  The influence of indirect association rules on recommendation ranking lists , 2005, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05).

[9]  Anthony Jameson,et al.  User Modeling and User-Adapted Interaction , 2004, User Modeling and User-Adapted Interaction.

[10]  Yiyu Yao,et al.  Web Log Mining , 2003 .

[11]  Martin Gonzalez-Rodriguez Automatic Data-Gathering Agents for Remote Navigability Testing , 2002, IEEE Softw..