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[HTML][HTML] SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learning

J Xu, J Wang, Y Tian, J Yan, X Li, X Gao - Plos one, 2020 - journals.plos.org
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 …
被引用次数：32 相关文章
[HTML] nih.gov

[HTML][HTML] SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learning

J Xu, J Wang, Y Tian, J Yan, X Li, X Gao - PLoS ONE, 2020 - ncbi.nlm.nih.gov
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 …

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

J Xu, J Wang, Y Tian, J Yan, X Li, X Gao - PLOS ONE, 2020 - ideas.repec.org
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 …

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

J Xu, J Wang, Y Tian, J Yan, X Li, X Gao - PLOS ONE, 2020 - econpapers.repec.org
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 …

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

J Xu, J Wang, Y Tian, J Yan, X Li, X Gao - PloS one, 2020 - pubmed.ncbi.nlm.nih.gov
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 …

[引用][C] SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learning

J Xu, J Wang, Y Tian, J Yan, X Li, X Gao - PLoS ONE, 2020 - ui.adsabs.harvard.edu
SE-stacking: Improving user purchase behavior prediction by information fusion and
ensemble learning - NASA/ADS Now on home page ads icon ads Enable full ADS view …

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

J Xu, J Wang, Y Tian, J Yan, X Li, X Gao - Plos one, 2020 - europepmc.org
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 …

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

J Xu, J Wang, Y Tian, J Yan, X Li, X Gao - PLoS ONE, 2020 - go.gale.com
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 …

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

J Xu, J Wang, Y Tian, J Yan, X Li, X Gao - PLoS ONE, 2020 - search.ebscohost.com
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 …
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[PDF][PDF] SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learning

J Xu, J Wang, Y Tian, J Yan, X Li, X Gao - PLoS ONE, 2020 - pdfs.semanticscholar.org
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 …