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Applied Mathematics and Nonlinear Sciences
Volumen 9 (2024): Edición 1 (Enero 2024)
Acceso abierto
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
y
Chanad Bhowbhandee
Chanad Bhowbhandee
Pathumthani University
Thailand
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Bhowbhandee, Chanad
05 ago 2024
Applied Mathematics and Nonlinear Sciences
Volumen 9 (2024): Edición 1 (Enero 2024)
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Publicado en línea:
05 ago 2024
Recibido:
11 abr 2024
Aceptado:
01 jul 2024
DOI:
https://doi.org/10.2478/amns-2024-2018
Palabras clave
<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.
