[1]
|
J. Hadden, A. Tiwari, R. Roy and D. Ruta, “Computer Assisted Customer Churn Management: State-of-the-Art and Future Trends,” Computers and Operations Research, Vol. 34, No. 10, 2005, pp. 2902-2917. doi:10.1016/j.cor.2005.11.007
|
[2]
|
N. B. Syam and J. D. Hess, “Acquisition Versus Retention: Competitive Customer Relationship Management,” Working Paper, University of Houston, Houston, 2006.
|
[3]
|
P.-Y. Chen and L. M. Hitt, “Measuring Switching Costs and the Determinants of Customer Retention in Internet-Enabled Business: A Study of the Online Brokerage Industry,” Information Systems Research, Vol. 13, No. 3, 2002, pp. 255-274. doi:10.1287/isre.13.3.255.78
|
[4]
|
R. N. Bolton, P. K. Kannan and M. D. Bramlett, “Implications of Loyalty Program Membership and Service Experiences for Customer Retention and Value,” Journal of the Academy of Marketing Science, Vol. 28, No. 1, 2000, pp. 95-108. doi:10.1177/0092070300281009
|
[5]
|
T. Hennig-Thurau and A. Klee, “The Impact of Customer Satisfaction and Relationship Quality on Customer Retention: A Critical Reassessment and Model Development,” Psychology and Marketing, Vol. 14, No. 8, 1998, pp. 737-764.
|
[6]
|
S. A. Neslin, S. Gupta, W. Kamakura, J. Lu and C. H. Mason, “Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models,” Journal of Marketing Research, Vol. 43, No. 2, 2006, pp. 204-211. doi:10.1509/jmkr.43.2.204
|
[7]
|
Z. Jamal and R. E. Bucklin, “Improving the Diagnosis and Prediction of Customer Churn: A Heterogeneous Modeling Approach,” Journal of Interactive Marketing, Vol. 20, No. 3-4, 2006, pp. 16-29. doi:10.1002/dir.20064
|
[8]
|
J. Hadden, A. Tiwari, R. Roy and D. Ruta, “Churn Prediction: Does Technology Matter?” International Journal of Intelligent Technology, Vol. 1, No. 1, 2006, pp. 104- 110.
|
[9]
|
S. V. Nath and S. Behara, “Customer Churn Analysis in the Wireless Industry: A Data Mining Approach,” Proceedings of the 34th Meeting of the Decision Sciences Institute, Washington, 22-25 November 2003, pp. 505-510.
|
[10]
|
L. Bin, S. Peiji and L. Juan, “Customer Churn Prediction Based on the Decision Tree in Personal Handyphone System Service,” Proceedings of International Conference on Service Systems and Service Management, Chengdu, 9-11 June 2007, pp. 1-5.
|
[11]
|
J. Lu and O. Park, “Modeling Customer Lifetime Value Using Survival Analysis—An Application in the Telecommunications Industry,” Data Mining Techniques, SAS Users Group International, Vol. 28, 2003, pp. 120- 128.
|
[12]
|
T. Mutanen, “Customer Churn Analysis: A Case Study,” Research Report, No. VTT-R-01184-06, 2008.
|
[13]
|
D. V. D. Poel and B. Larivière, “Customer Attrition Analysis for Financial Services Using Proportional Hazard Models,” European journal of Operational Research, Vol. 157, No. 1, 2004, pp. 196-217. doi:10.1016/S0377-2217(03)00069-9
|
[14]
|
S. Y. Hung, D. C. Yen and H. Y. Wang, “Applying Data Mining to Telecom Churn Management,” Expert Systems with Applications, Vol. 31, No. 3, 2006, pp. 515-524. doi:10.1016/j.eswa.2005.09.080
|
[15]
|
L. S. Yang and C. Chiu, “Knowledge Discovery on Customer Churn Prediction,” Proceedings of the 10th World Scientific and Engineering Academy and Society: International Conference on Applied Mathematics Dallas, Texas, 1-3 November 2006, pp. 523-528.
|
[16]
|
C. B. Bhattacharya, “When Customers are Members: Customer Retention in Paid Membership Contexts,” Journal of Marketing Science, Vol. 26, No. 1, 1998, pp. 31-44.
|
[17]
|
G. Adomavicius, Z. Huang and A. Tuzhilin, “Personalization and Recommender Systems,” Tutorials in Operations Research, INFORMS, Charlotte, 2008.
|
[18]
|
A. Tuzhilin and G. Adomavicius, “Towards the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions,” IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 6, 2005, pp. 734-749.
|
[19]
|
G. Linden, B. Smith and J. York, “Amazon.com Recommendations: Item-to-Item Collaborative Filtering,” IEEE Internet Computing, Vol. 7, No. 1, 2003, pp. 76-80. doi:10.1109/MIC.2003.1167344
|
[20]
|
B. Mobasher, R. Cooley and J. Srivastava, “Automatic Personalization Based on Web Usage Mining,” Communications of the Association for Computing Machinery, Vol. 43, No. 8, 2000, pp. 142-151. doi:10.1145/345124.345169
|
[21]
|
J. Zhang and M. Wedel, “The Effectiveness of Customized Promotions in Online and Offline Stores,” Journal of Marketing Research, Vol. 46, No. 2, 2009, pp. 190-206. doi:10.1509/jmkr.46.2.190
|
[22]
|
A. Ansari and C. F. Mela, “E-Customization,” Journal of marketing research, Vol. 40, No. 2, 2003, pp. 131-145. doi:10.1509/jmkr.40.2.131.19224
|
[23]
|
J. Pancras and K. Sudhir, “Optimal Marketing Strategies for a Customer Data Intermediary,” Journal of Marketing Research, Vol. 44, No, 4, 2007, pp. 560-578. doi:10.1509/jmkr.44.4.560
|
[24]
|
B. P. S. Murthi and S. Sarkar, “The Role of the Management Sciences in Research on Personalization,” Management Science, Vol. 49, No. 10, 2003, pp. 1344-1362. doi:10.1287/mnsc.49.10.1344.17313
|
[25]
|
A. Kumar, “From Mass Customization to Mass Personalization: A Strategic Transformation,” International Journal of Flexible Manufacturing Systems, Vol. 19, No. 4, 2007, pp. 533-547. doi:10.1007/s10696-008-9048-6
|
[26]
|
N. Arora, X. Dreze, A. Ghose, J. Hess, R. Iyengar, B. Jing, Y. Joshi, V. Kumar, N. Lurie, S. Neslin, S. Sajeesh, M. Su, N. Syam, J. Thomas and Z. Zhang, “Putting One-to-One Marketing to Work: Personalization, Customization and Choice,” Marketing Letters, Vol. 19, No. 3, 2008, pp. 305-321. doi:10.1007/s11002-008-9056-z
|
[27]
|
J. H. Myers, “Segmentation and Positioning for Strategic Marketing Decisions,” South-Western Educational Pub, Cincinnati, 1996.
|
[28]
|
W. J. Reinartz and R. Venkatesan, “Decision Models for Customer Relationship Management,” In: B. Wierenga, Ed., Handbook of Marketing Decision Models, Springer Netherlands, Dordrecht, 2009.
|
[29]
|
U. Fayyad, G. Piatetsky-Shapiro, P. Smith and R. Uthurusamy, “Advances in Knowledge Discovery and Data Mining,” The Massachusetts Institute of Technology Press, Massachusetts, 1996.
|
[30]
|
A. Silberschatz and A. Tuzhilin, “On Subjective Measures of Interestingness in Knowledge Discovery,” Proceedings of the 1st International Conference on Knowledge Discovery and Data, Montreal, 20-21 August 1995, pp. 275-281.
|
[31]
|
B. Mobasher, B. Berendt and M. Spiliopoulou, “Knowledge Discovery and Data for Personalization,” Tutorial at the 12th European Conference on Machine Learning, Freiburg, 5-7 September 2001.
|
[32]
|
K. Wang and Y. Jiang, “Mining Actionable Patterns by Role Models,” IEEE International Conference on Data Engineering, Atlanta, 3-7 April 2006, pp. 16-25.
|
[33]
|
A. Tuzhilin and G. Adomavicius, “Export-Driven Validation of Rule-Based User Models in Personalization Applications,” Data Mining and Knowledge Discovery, Vol. 5, 2001, pp. 33-58. doi:10.1023/A:1009839827683
|
[34]
|
C. Shearer, “The CRISP-DM Model: The New Blueprint for Data Mining,” Journal of Data Warehousing, Vol. 5, No. 4, 2000, pp. 13-22.
|
[35]
|
Z. Huang, W. Chung and H. Chen, “A Graph Model for E-Commerce Recommender Systems,” Journal of the American Society for Information Science and Technology ,Vol. 55, No. 3, 2004, pp. 259-274. doi:10.1002/asi.10372
|
[36]
|
Z. Huang, X. Li and H. Chen, “Link Prediction Approach to Collaborative Filtering,” Proceedings of the 5th ACM/ IEEE-CS Joint Conference on Digital Libraries, Denver, 7-11 June 2005, pp. 14-142.
|