Predicting repurchase behavior and optimizing marketing for e-commerce users with genetic algorithms and deep learning. [PDF]
Yang S.
europepmc +1 more source
TFP-Net: A temporal-feature-prototypical network for CRM optimization and cold-start mitigation. [PDF]
Li Y, Dong J, Wang R.
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A novel methodological approach to SaaS churn prediction using whale optimization algorithm. [PDF]
Kotan M +5 more
europepmc +1 more source
Mitigating class imbalance in churn prediction with ensemble methods and SMOTE. [PDF]
Suguna R +5 more
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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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Enhancing corporate bankruptcy prediction and customer relationship sustainability through CNN-based financial feature transformation. [PDF]
Shahbazi A +5 more
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Meta-LLSTM: meta-learning enhanced learnable LSTM for retail sales forecasting. [PDF]
Suresh BS, Suresh M, Kang DK.
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TempODEGraphNet: predicting user churn using dynamic social graphs and neural ODEs. [PDF]
Lee M, Woo J.
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Revolutionizing market surveillance: customer relationship management with machine learning. [PDF]
Shi X, Zhang Y, Yu M, Zhang L.
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Survival analysis of electric vehicle charging behavior and the temporal evolution of feature effects. [PDF]
Meža M, Strle G, Meža M.
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