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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Research on Prediction of User Repurchase Behavior and Marketing Strategies in Internet Marketing
Yanling Liu
Yanling Liu
School of Physical Education and Health, Chongqing College of International Business and Economics
Chongqing, China
Degree of Doctor of Business Administration, Pathumthani University
Thailand
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Liu, Yanling
,
Yueji Wang
Yueji Wang
Degree of Doctor of Business Administration, Pathumthani University
Thailand
School of Media Convergence, Chongqing College of International Business and Economics
Chongqing, China
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Wang, Yueji
,
Lei Feng
Lei Feng
School of Media Convergence, Chongqing College of International Business and Economics
Chongqing, China
DOCTOR OF PHILOSOPHY (Economics), Universiti Sains Malaysia
Malaysia
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Feng, Lei
,
Yuyao Wu
Yuyao Wu
Degree of Doctor of Business Administration, Pathumthani University
Thailand
School of Health Medicine, Chongqing Youth Vocational and Technical College
Chongqing, China
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Wu, Yuyao
,
Xuechao Hao
Xuechao Hao
Degree of Doctor of Business Administration, Pathumthani University
Thailand
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Hao, Xuechao
and
Chanad Bhowbhandee
Chanad Bhowbhandee
Pathumthani University
Thailand
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Bhowbhandee, Chanad
Aug 05, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Aug 05, 2024
Received:
Apr 11, 2024
Accepted:
Jul 01, 2024
DOI:
https://doi.org/10.2478/amns-2024-2018
Keywords
<kwd>RFM model</kwd>
,
<kwd>K-means++ algorithm</kwd>
,
<kwd>Soft-Voting</kwd>
,
<kwd>repurchase behavior prediction</kwd>
,
<kwd>marketing strategy</kwd>
© 2024 Yanling Liu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
