Research of Matrix Clustering Algorithm Based on Web User Access Pattern

摘要

It is of great significance that summarizing the regular pattern of the user along the URL to find and browse the Web, mining user browsing patterns to help users reach the target page quickly for realizing the personalized navigation of search engine. In order to provide personalized service, an optimized matrix clustering algorithm is proposed, which can cluster the page users access, analysis and study the laws in the Web log records to improve performance and organizational structure of Web site according to browsing patterns of user accessing to Web, understand the user behavior, find user browsing patterns. The Experiment results shows that the algorithm has good practicability with accurately reflecting the Web visits.