SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learning.

SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learning.

Online shopping behavior has the characteristics of rich granularity dimension and data sparsity and presents a challenging task in e-commerce. Previous studies on user behavior prediction did not seriously discuss feature selection and ensemble design, which are important to improving the performan...

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Bibliographic Details
Main Authors:	Jing Xu, Jie Wang, Ye Tian, Jiangpeng Yan, Xiu Li, Xin Gao
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2020-01-01
Series:	PLoS ONE
Online Access:	https://doi.org/10.1371/journal.pone.0242629

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