Reorganization of Links to Improve User Navigation
This work addresses navigation efficiency for website users, but it appears incremental as it applies existing algorithms to a common problem.
The paper tackled the problem of improving user navigation on websites by reorganizing the site structure with minimal changes, using farthest first traversal clustering and Apriori algorithms to analyze user behavior and frequent traversal paths.
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.