Reorganization of Links to Improve User Navigation

TL;DR

This paper proposes a method to reorganize website links using clustering and frequent path analysis to enhance user navigation with minimal structural changes.

Contribution

It introduces a novel approach combining clustering and Apriori algorithms for website reorganization to improve navigation efficiency.

Findings

Reduced number of structural changes needed for reorganization

Effective identification of frequent user traversal paths

Improved user navigation experience

Abstract

Website can be easily design but to efficient user navigation is not a easy task since user behavior is keep changing and developer view is quite different from what user wants, so to improve navigation one way is reorganization of website structure. For reorganization here proposed strategy is farthest first traversal clustering algorithm perform clustering on two numeric parameters and for finding frequent traversal path of user Apriori algorithm is used. Our aim is to perform reorganization with fewer changes in website structure.