DocumentCode
2095035
Title
Website Structure Optimization Technology Based on Customer Interest Clustering Algorithm
Author
Cheng, Shutong ; Xu, Congfu ; Dan, Hongwei
Author_Institution
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
Volume
1
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
802
Lastpage
804
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.
Keywords
Web sites; customer satisfaction; data mining; matrix algebra; optimisation; Web log mining algorithm; Web site structure optimization; customer access pattern; customer interest clustering algorithm; customer interest matrix; Algorithm design and analysis; Association rules; Attenuation; Clustering algorithms; Computer science; Data mining; Educational institutions; Partitioning algorithms; Uniform resource locators; Web pages; Clustering; Interest Matrix; Website Structure Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3746-7
Type
conf
DOI
10.1109/ISCSCT.2008.124
Filename
4731545
Link To Document