Machine learning-based e-commerce platform repurchase customer prediction model

In recent years, China's e-commerce industry has developed at a high speed, and the scale of various industries has continued to expand. Service-oriented enterprises such as e-commerce transactions and information technology came into being. This paper analyzes the shortcomings and challenges o...

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Veröffentlicht in:	PloS one 2020-12, Vol.15 (12), p.e0243105
Hauptverfasser:	Liu, Cheng-Ju, Huang, Tien-Shou, Ho, Ping-Tsan, Huang, Jui-Chan, Hsieh, Ching-Tang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biology and Life Sciences China Commerce Computer and Information Sciences Consumer behavior Consumers Customer satisfaction Customer services Data compression Data mining Datasets Decision trees Diabetes Electronic commerce Engineering and Technology Forecasts and trends Humans Industrial development Information technology Internet Use Knowledge Learning algorithms Linear Models Logistic Models Machine Learning Model accuracy Online shopping Physical Sciences Prediction models Quality of service Regression analysis Regression models Research and Analysis Methods Retail stores Social Sciences
Online-Zugang:	Volltext
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