eNavigate: Effective and Efficient User Web Navigation

Abstract

Web Site is huge source of information. User requires different pages at the same time or same user may access different pages at different time. Web structure mining uses data from web usage and accordingly makes changes in structure of web site. Web site that semi- automatically maintains its organization and presentation by learning from visitors access patterns. Developer develop web site according to their own judgment of use, without considering users intension to use. So users suffers problem of searching in network. We propose a mathematical programming model to improve the user navigation on a website with minimum alterations to its existing structure. Test performed on publicly available real data sets shows that this model significantly improves the user navigation with very few changes as well as effectively solves the navigation problem. The completely reorganized new structure can be highly unpredictable, and cost of disoriented users after website structure changes remains unanalyzed. This approach is how to improve web site without introducing substantial changes. We use two metrics and use them to access the performance of the improved website using the real data set.
DOI: 10.17762/ijritcc2321-8169.1506125