Application of sample balance-based multi-perspective feature ensemble learning for prediction of user purchasing behaviors on mobile wireless network platforms

Application of sample balance-based multi-perspective feature ensemble learning for prediction of user purchasing behaviors on mobile wireless network platforms

Abstract With the rapid development of wireless communication network, M-Commerce has achieved great success. Users leave a lot of historical behavior data when shopping on the M-Commerce platform. Using these data to predict future purchasing behaviors of the users will be of great significance for...

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Bibliographic Details
Main Authors: Huibing Zhang, Junchao Dong
Format: Article
Language:English
Published: SpringerOpen 2020-10-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Wireless communication network
M-Commerce
Ensemble learning
XGBoost-logistics
LightGBM-L2
Cascaded deep forest
Online Access:http://link.springer.com/article/10.1186/s13638-020-01800-7

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http://link.springer.com/article/10.1186/s13638-020-01800-7

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