Analysis and Optimization of Customer Lifetime Value Prediction using Machine Learning and Deep Learning Models by RFM Techniques

Analysis and Optimization of Customer Lifetime Value Prediction using Machine Learning and Deep Learning Models by RFM Techniques

In today’s data-driven hospitality sector, customer interactions increasingly occur through digital platforms, generating extensive behavioral and transactional information. This study analyse the prediction of Customer Lifetime Value (CLV) using machine learning models—Linear Regression, Random For...

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Bibliographic Details
Main Authors: Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili, MohammadReza Sanaei
Format: Article
Language:English
Published: University of science and culture 2025-04-01
Series:International Journal of Web Research
Subjects:
customer lifetime value (clv)
machine learning
random forest
lightgbm
rfm
Online Access:https://ijwr.usc.ac.ir/article_221737_7c7d968f0ba26030f74c4f707cabd7ad.pdf
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https://ijwr.usc.ac.ir/article_221737_7c7d968f0ba26030f74c4f707cabd7ad.pdf

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