Website Structure Improvement Based on the Combination of Selected Web Structure and Web Usage Mining Methods

Jozef Kapusta (), Michal Munk () and Martin Drlik ()
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Jozef Kapusta: Constantine the Philosopher University in Nitra, Nitra, Slovakia
Michal Munk: Constantine the Philosopher University in Nitra, Nitra, Slovakia
Martin Drlik: Constantine the Philosopher University in Nitra, Nitra, Slovakia

International Journal of Information Technology & Decision Making (IJITDM), 2018, vol. 17, issue 06, 1743-1776

Abstract: The different web mining methods and techniques can help to solve some typical issues of the contemporary websites, contribute to more effective personalization, improve a website structure and reorganize its web pages. However, only several papers tried to combine web structure and web usage mining (WUM) methods with this aim. The paper researches if and how the combination of selected web structure and WUM methods can identify misplaced web pages and how they can contribute to improving the website structure. The paper analyzes the relationship between the estimated importance of the web page from the web page creator’s point of view using the web structure mining method based on PageRank and visitors’ real perception of the importance of that individual web page using the WUM method based on sequence patterns analysis, which eliminates the problem with repeated visits of the same web page during one session. The results prove that the expected probability of accesses to the individual web page correlates with the observed visit rate obtained from the log files using the WUM method. Furthermore, the website can be improved based on the consequent application of the residual analysis on the obtained results. The applicability of the proposed combination of the web structure and WUM methods is presented on two case studies from different application domains of the contemporary web. As a result, the web pages, which are underestimated or overestimated by the web page creators, are successfully identified in both cases.

Keywords: Web usage mining; web structure mining; PageRank; sequence rules analysis; website improvement; website reorganization (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0219622018500402

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