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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Detalles Bibliográficos
Autores principales: Xu, Jing, Wang, Jie, Tian, Ye, Yan, Jiangpeng, Li, Xiu, Gao, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7688168/
https://www.ncbi.nlm.nih.gov/pubmed/33237926
http://dx.doi.org/10.1371/journal.pone.0242629

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7688168/
https://www.ncbi.nlm.nih.gov/pubmed/33237926
http://dx.doi.org/10.1371/journal.pone.0242629

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