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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Autori principali:	Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili, MohammadReza Sanaei
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	University of science and culture 2025-04-01
Serie:	International Journal of Web Research
Soggetti:	customer lifetime value (clv) machine learning random forest lightgbm rfm
Accesso online:	https://ijwr.usc.ac.ir/article_221737_7c7d968f0ba26030f74c4f707cabd7ad.pdf
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