Predictive analytics for customer repurchase: interdisciplinary integration of buy till you die modeling and machine learning

DOI10.1016/J.EJOR.2021.04.021zbMath1490.62432OpenAlexW3154914545MaRDI QIDQ2242311

Yen-Chun Chou, Ting-Peng Liang, Howard Hao-Chun Chuang, Ping Chou

Publication date: 9 November 2021

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2021.04.021

zbMATH Keywords

machine learningLassoanalytics`buy till you die'customer repurchase

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• Scikit
• Adam

Cites Work

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• A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees
• Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting
• Computer assisted customer churn management: state-of-the-art and future trends
• \(\ell_1\)-regularization of high-dimensional time-series models with non-Gaussian and heteroskedastic errors
• Bayesian neural network learning for repeat purchase modelling in direct marketing
• Convergence analyses on sparse feedforward neural networks via group lasso regularization
• A nonparametric ensemble binary classifier and its statistical properties
• Applicability of Customer Churn Forecasts in a Non-Contractual Setting

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