Name
Title | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISCSCT.2008.124 | ISCSCT (1) |
Keywords | Field | DocType |
optimisation,hidden customer access pattern,web log mining algorithm,clustering algorithm,website structure optimization technology,experiment result,interest matrix,matrix algebra,web site structure optimization,web sites,customer satisfaction,customer access pattern,customer interest clustering algorithm,relevant web page,clustering,data mining,similar customer group,customer interest matrix,website structure optimization,customer interest,accuracy,algorithm design and analysis,clustering algorithms,optimization,artificial neural networks,hamming distance,web pages | Customer intelligence,Data mining,Customer satisfaction,Web mining,Algorithm design,Web page,Voice of the customer,Computer science,Web modeling,Cluster analysis | Conference |
Volume | ISBN | Citations |
1 | 978-1-4244-3746-7 | 1 |
PageRank | References | Authors |
0.35 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shutong Cheng | 1 | 1 | 0.35 |
| Congfu Xu | 2 | 131 | 15.71 |
| Hongwei Dan | 3 | 5 | 1.18 |