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A Machine and Deep Learning Framework to Retain Customers Based on Their Lifetime Value
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A Machine and Deep Learning Framework to Retain Customers Based on Their Lifetime Value (2022)A Machine and Deep Learning Framework to …Predicting Customer Class using Customer Lifetime Value with Random Forest Algorithm (2020)Predicting Customer Class usi…An Empirical Study on Customer Segmentation by Purchase Behaviors Using a RFM Model and K-Means Algorithm (2020)An Empirical Study on Custome…Analysis for Customer Lifetime Value Categorization with RFM Model (2019)Analysis for Customer Lifetim…Customer Segmentation using K-means Clustering (2018)Customer Segmentation using K…Customer Life Time Value Model Framework Using Gradient Boost Trees with RANSAC Response Regularization (2018)Customer Life Time Value Mode…Customer Lifetime Value: A Review (2012)Customer Lifetime Value: A Re…Market-Based Assets and Shareholder Value: A Framework for Analysis (1998)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)Return on Marketing: Using Customer Equity to Focus Marketing Strategy (2003)Modeling and Application of Customer Lifetime Value in Online Retail (2018)COMPARATIVE ANALYSIS OF SELECTED PROBABILISTIC CUSTOMER LIFETIME VALUE MODELS IN ONLINE SHOPPING (2019)Reimagining customer service through journey mapping and measurement (2020)Customer Relationship Management: Emerging Practice, Process, and Discipline (2002)Valuing Customers (2004)Prediction of Customer Lifetime Value Using Machine Learning (2021)Strategic database marketing (1994)An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry (2003)Decision making with the analytic hierarchy process (2008)Research on improved RFM customer segmentation model based on K-Means algorithm (2020)An RFM Model Customizable to Product Catalogues and Marketing Criteria Using Fuzzy Linguistic Models: Case Study of a Retail Business (2021)An approach for sales forecasting (2022)Knowledge management and data mining for marketing (2001)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Classifying the segmentation of customer value via RFM model and RS theory (2008)User Value Identification Based on Improved RFM Model and K‐Means++ Algorithm for Complex Data Analysis (2021)Smart Next-Generation Revenue Growth: A Methodology for Partitioning Customers Utilizing the K-Means Algorithm and RFM Model (2024)Enhancing customer retention in Online Retail through churn prediction: A hybrid RFM, K-means, and deep neural network approach (2025)Modeling churn using customer lifetime value (2008)An Engagement-Based Customer Lifetime Value System for E-commerce (2016)Customer Lifetime Value Prediction Using Embeddings (2017)A New 360° Framework to Predict Customer Lifetime Value for Multi-Category E-Commerce Companies Using a Multi-Output Deep Neural Network and Explainable Artificial Intelligence (2022)Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty (2024)A hybrid model for improving customer lifetime value prediction using stacking ensemble learning algorithm (2025)An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Market (2023)Forecasting in financial accounting with artificial intelligence – A systematic literature review and future research agenda (2023)Deep Learning in Finance: A Survey of Applications and Techniques (2024)
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References

  • 2018Customer Segmentation using K-means Clustering186 cited
  • 2020An Empirical Study on Customer Segmentation by Purchase Behaviors Using a RFM Model and K-Means Algorithm95 cited
  • 2019Analysis for Customer Lifetime Value Categorization with RFM Model56 cited
  • 2012Customer Lifetime Value: A Review47 cited
  • 2020Predicting Customer Class using Customer Lifetime Value with Random Forest Algorithm29 cited
  • 2018Customer Life Time Value Model Framework Using Gradient Boost Trees with RANSAC Response Regularization7 cited

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