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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| 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 |