Special Issue Article Open Access

Optimizing User Navigation with Pattern based Web Site Restructuring Scheme

Abstract

Web mining techniques are used to analyze web resource details. Content mining, structure mining and usage mining are the main types of web mining. Web page contents are analyzed in the content mining process. Structure mining technique is used to analyze the web site and page layouts. User access details are analyzed using usage mining methods. Web site structures are altered to improve the user navigations. Web personalization method reconstructs the page links with reference to the traversal path and profile of a particular user. Transformation mechanism is applied to modify the site structure for all users. User navigation data is used to relink web pages to improve navigability. The out degree refers the number of outward links in a page. Out degree threshold is used to control the number of links in a page to minimize information overload in a page. Targeted pages are identified with page-stay time information. Mini sessions are identified with processed logs and path threshold information. Mathematical programming model is used to improve the user navigation on a website with minimum alteration in the current structure. Backtracking algorithm is used to estimate backtracking pages from mini sessions. Average user navigation and benefited user count metrics are used to evaluate the navigation performance. The web site restructuring scheme is enhanced with frequent pattern mining mechanism. Dynamic out degree threshold estimation model is adapted for the system. Target page identification process is performed with sequential patterns. Relative link information is used for the navigation pattern analysis.

Ms. Jissin Mary Kunjukutty, Ms. A.Priya, ME

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