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Real-Time Prediction of Online Shoppers’ Purchasing Intention Using Random Forest

In this paper, we suggest a real-time online shopper behavior prediction system which predicts the visitor’s shopping intent as soon as the website is visited. To do that, we rely on session and visitor information and we investigate naïve Bayes classifier, C4.5 decision tree and random forest. Furt...

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Detalles Bibliográficos
Autores principales: Baati, Karim, Mohsil, Mouad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256375/
http://dx.doi.org/10.1007/978-3-030-49161-1_4