Website link structure evaluation and improvement based on user visiting patterns

Abstract

Link structure evaluation and improvement is a significant hard problem for Hypertext system. In this paper a novel approach for evaluating and improving website link structure based on User Visiting Patterns instead of complex semantic analysis is proposed. By optimizing and re-evaluating the link structure to increase the Average Connectivity, our approach can effectively improve website link structure. Experiments have shown satisfactory results.