A New User Segmentation Model for E-Government

被引:0
|
作者
Tang, Ran [1 ]
Zhang, Zhenji [1 ]
Guan, Xiaolan [2 ]
Wang, Lida [3 ]
机构
[1] Beijing Jiaotong Univ, Beijing, Peoples R China
[2] Beijing Inst Graph Commun, Beijing, Peoples R China
[3] China Software Testing Ctr, Beijing, Peoples R China
关键词
Cluster Algorithm; Customer Relationship Management (CRM); Customer Segmentation; E-Government User; K-Means Algorithm;
D O I
10.4018/jeco.2013040101
中图分类号
F [经济];
学科分类号
02 ;
摘要
E-government in China has entered the development stage of personalized services, and user segmentation has become an urgent demand. On the basis of systematic interpretation of e-government development stages, in this article, the authors introduce CRM and customer segmentation concept into e-government areas, construct e-government user segmentation model, and obtain user segmentation results by empirical analysis. Comparing with existing segmentation methods based on experience, because of the introduction of customer segmentation concept and K-means algorithm, e-government user segmentation model presented makes segmentation more scientific and reasonable and can adjust dynamically as the user needs change, continuously improving.
引用
收藏
页码:1 / 11
页数:11
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