A novel hybrid deep learning framework for customer churn prediction using RFM and embedding clustering. [PDF]
Ibrahim S +3 more
europepmc +1 more source
A new perspective on data leakage prevention and adaptive attention in telecom churn prediction. [PDF]
Le DT, Nguyen MT.
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A scalable hybrid framework for boosting customer experience and operational efficiency in e-commerce. [PDF]
Liu H +8 more
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Explainable AI-driven customer churn prediction: a multi-model ensemble approach with SHAP-based feature analysis. [PDF]
El Attar A, El-Hajj M.
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Leveraging artificial intelligence for predictive customer churn modeling in telecommunications: a framework for enhanced customer relationship management. [PDF]
Abdelhady MG, Mohamed KA.
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Predicting repurchase behavior and optimizing marketing for e-commerce users with genetic algorithms and deep learning. [PDF]
Yang S.
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Construction of a balanced scorecard-based performance evaluation indicator system for research management in key biomedical research laboratories: An observational study. [PDF]
Zhou B, Niu J, Wang Q.
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Explaining and predicting consumer decision-making in E-commerce using an intelligent hybrid framework for impulsive and planned purchase behavior. [PDF]
Cui N.
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From image to trust: Cross-national pathways to brand evangelism in hospitality sector. [PDF]
Nghia NC, Duy PK, Truong-Dinh BQ.
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