Explaining and predicting consumer decision-making in E-commerce using an intelligent hybrid framework for impulsive and planned purchase behavior

Abstract Accurately distinguishing between impulsive and planned purchasing behavior remains a critical challenge in e-commerce analytics, given the multidimensional and dynamic nature of consumer data. Existing machine learning approaches often rely on conventional hyperparameter tuning strategies,...

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Autore principale:	Na Cui
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2026-04-01
Serie:	Scientific Reports
Soggetti:	E-commerce analytics Hyperparameter tuning Impulse buying prediction Metaheuristic algorithm Hybrid machine learning Dynamic pricing
Accesso online:	https://doi.org/10.1038/s41598-026-47284-1
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