Determining the best estimation model with tree-based machine learning methods: Implementation on customer spendings for e-commerce websites
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Date
2022
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Pushpa Publishing House
Access Rights
info:eu-repo/semantics/openAccess
Abstract
Individuals who can easily access Internet have turned to online shopping instead of shopping in physical stores as a result of the development of technology. Individuals’ tendency for online shopping has improved the e-commerce sector. Factors such as ability to realize global sales, reduction in physical store expenses, ability to realize 24/7 sales, online and low-cost stock tracking make e-commerce important. Since they use Internet channels in purchasing, the mobility of the customers is also monitored and the behavior of the customers is reflected as data. Thus, the number of studies that predicts the purchasing behavior of customers increases along with prediction models.
Description
Keywords
tree-based models, e-commerce, machine learning, ensemble learning
Journal or Series
Advances and Applications in Statistics
WoS Q Value
N/A
Scopus Q Value
Volume
75
