Website Structure Optimization Technology Based on Customer Interest Clustering Algorithm

Abstract

Based on an analysis on the Web log mining algorithm of predecessors, this paper presents the Web site structure optimization technology to improve customer interest. The technology proposes similar customer groups and clustering algorithms of relevant Web pages based on interest matrix of customers accessing a Web site to discover the hidden customer access patterns. Experiment results demonstrate the effectiveness of our algorithms.