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Prediction of Repeat Customers on E-Commerce Platform Based on Blockchain
Joint Authors
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-28
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
In recent years, blockchain has substantially enhanced the credibility of e-commerce platforms for users.
The prediction accuracy of the repeat purchase behaviour of e-commerce users directly affects the impact of precision marketing by merchants.
The existing ensemble learning models have low prediction accuracy when the purchase behaviour sample is unbalanced and the information dimension of feature engineering is single.
To overcome this problem, an ensemble learning prediction model based on multisource information fusion is proposed.
Tests on the Tmall dataset showed that the accuracy and AUC values of the model reached 91.28% and 70.53%, respectively.
American Psychological Association (APA)
Zhang, Huibing& Dong, Junchao. 2020. Prediction of Repeat Customers on E-Commerce Platform Based on Blockchain. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1214681
Modern Language Association (MLA)
Zhang, Huibing& Dong, Junchao. Prediction of Repeat Customers on E-Commerce Platform Based on Blockchain. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1214681
American Medical Association (AMA)
Zhang, Huibing& Dong, Junchao. Prediction of Repeat Customers on E-Commerce Platform Based on Blockchain. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1214681
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214681