Paper Title:
Customer Segmentation Based on Context Preference Mining for Mobile Service
  Abstract

An increasing web services run in mobile context. Context may influence customer potential needs and buying behaviors in some specific situation. However existent customer segmentation method do not attach importance to context factors, which weakly support the development of context-sensitive mobile service . Therefore a mobile customer segmentation method based on context is proposed and validated by a case. The further research is mentioned in the end of the paper.

  Info
Periodical
Edited by
Wenya Tian and Linli Xu
Pages
348-352
DOI
10.4028/www.scientific.net/AMR.186.348
Citation
M. H. Hu, S. Q. Cai, T. T. Tan, "Customer Segmentation Based on Context Preference Mining for Mobile Service", Advanced Materials Research, Vol. 186, pp. 348-352, 2011
Online since
January 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Liang Xiao, Fan Wang
Abstract:Distribution tasks have typical feature of context dependence. Attaining the mission-related dynamic context information service timely and...
201
Authors: Hui Zuo, Dan Xiang Ai
Chapter 18: Development Computer Applications in Industry, Networks Applications
Abstract:To support the personalized mobile recommendation service, a context modeling approach based on ontology was proposed. The role of context...
2849
Authors: Hui Zuo, Dan Xiang Ai, Jun Yang
Chapter 6: Intelligent System
Abstract:An intelligent mobile petrol station recommender system based on context ontology and rule inference is deigned. The approach of context...
1412
Authors: Dan Xiang Ai, Hui Zuo, Jun Yang
Chapter 6: Computer, Automation, Comunication and Image Applications in Industry and Engineering
Abstract:To support context-aware mobile recommendation, an ontology-based context modeling approach was proposed. We analyzed the framework of the...
953
Authors: Dan Xiang Ai, Hui Zuo, Jun Yang
Chapter 6: Information Technologies and Computer Technics
Abstract:With the development of smart mobile terminals and pervasive computing, mobile recommender systems are proposed to realize context-aware...
708