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Customer Churn Prediction Approach Based on LLM Embeddings and Logistic Regression
12 references·0 citing·54 second hop
Customer Churn Prediction Approach Based on LLM Embeddings and Logistic Regression (2024)Customer Churn Prediction Approach Based …Explaining customer churn prediction in telecom industry using tabular machine learning models (2024)Explaining customer churn pre…Investigating customer churn in banking: a machine learning approach and visualization app for data science and management (2023)Investigating customer churn …E-commerce customer churn prevention using machine learning-based business intelligence strategy (2023)E-commerce customer churn pre…Customer churning analysis using machine learning algorithms (2023)Customer churning analysis us…Customer Churn in Retail E-Commerce Business: Spatial and Machine Learning Approach (2022)Customer Churn in Retail E-Co…Churn prediction in digital game-based learning using data mining techniques: Logistic regression, decision tree, and random forest (2022)Churn prediction in digital g…Application of Machine Learning in Customer Churn Prediction (2021)Application of Machine Learni…Improved Accuracy of Naive Bayes Classifier for Determination of Customer Churn Uses SMOTE and Genetic Algorithms (2020)Improved Accuracy of Naive Ba…Churn Prediction in Telecommunication using Logistic Regression and Logit Boost (2020)Churn Prediction in Telecommu…A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry (2019)A customer churn prediction u…Machine-Learning Techniques for Customer Retention: A Comparative Study (2018)Machine-Learning Techniques f…Improved churn prediction in telecommunication industry using data mining techniques (2014)Improved churn prediction in …Experiments in induction (1966)Experiments in Induction (1967)Applying data mining to telecom churn management (2005)A Data Mining-Based Framework for Supply Chain Risk Management (2018)Predicting Employee Attrition Using Machine Learning Techniques (2020)Customer lifetime value: Marketing models and applications (1998)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)A comparison of machine learning techniques for customer churn prediction (2015)AI-enabled Enterprise Information Systems for Manufacturing (2021)Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector (2021)Machine Learning Approaches for Auto Insurance Big Data (2021)A novel evolutionary data mining algorithm with applications to churn prediction (2003)Customer churn prediction in the telecommunication sector using a rough set approach (2016)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques (2022)Deep Churn Prediction Method for Telecommunication Industry (2023)CHURN PREDICTION IN THE TELECOMMUNICATIONS SECTOR USING SUPPORT VECTOR MACHINES (2013)Predicting Customer Churn in Mobile Telephony Industry Using Probabilistic Classifiers in Data Mining (2013)Churn prediction on huge telecom data using hybrid firefly based classification (2017)Detecting the Risk of Customer Churn in Telecom Sector: A Comparative Study (2022)A Decade of Churn Prediction Techniques in the TelCo Domain: A Survey (2024)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Empirical study of topic modeling in Twitter (2010)Predictive Churn Modeling for Sustainable Business in the Telecommunication Industry: Optimized Weighted Ensemble Machine Learning (2023)A Model-Agnostic Interpretability Approach to Predicting Customer Churn in the Telecommunications Industry (2024)Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning (2025)Product Differentiation and Market Segmentation as Alternative Marketing Strategies (1956)Digital game-based learning (2003)What video games have to teach us about learning and literacy (2003)Ensemble Methods in Customer Churn Prediction: A Comparative Analysis of the State-of-the-Art (2023)Customer churn prediction in imbalanced datasets with resampling methods: A comparative study (2024)Customer churn prediction model based on hybrid neural networks (2024)Modeling churn using customer lifetime value (2008)An extended support vector machine forecasting framework for customer churn in e-commerce (2010)Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning (2013)Exploring Machine Learning's Potential in Predicting Consumer Behavior for Captivating Marketing (2023)ENHANCING CUSTOMER SERVICE IN SATELLITE TELECOMMUNICATIONS: A REVIEW OF DATA-DRIVEN INSIGHTS AND METHODOLOGIES FOR PERSONALIZED SERVICE OFFERINGS (2024)Predictive Modelling of Customer Lifetime Value Using AI and Machine Learning Algorithms (2025)A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)Customer churn prediction in telecom using machine learning in big data platform (2019)Customer Churn Prediction using Machine Learning Models (2024)Improving Churn Detection in the Banking Sector: A Machine Learning Approach with Probability Calibration Techniques (2024)A data-driven approach with explainable artificial intelligence for customer churn prediction in the telecommunications industry (2025)A big data analytics model for customer churn prediction in the retiree segment (2018)Incorporating textual information in customer churn prediction models based on a convolutional neural network (2019)Managing Churn to Maximize Profits (2020)Enhancing customer retention with machine learning: A comparative analysis of ensemble models for accurate churn prediction (2025)Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data (2025)The Behavioral Consequences of Service Quality (1996)Satisfaction, Repurchase Intent, and Repurchase Behavior: Investigating the Moderating Effect of Customer Characteristics (2001)Customer perceived value, satisfaction, and loyalty: The role of switching costs (2004)RetenNet: A Deployable Machine Learning Pipeline with Explainable AI and Prescriptive Optimization for Customer Churn Management (2025)
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References

  • 2014Improved churn prediction in telecommunication industry using data mining techniques176 cited
  • 2018Machine-Learning Techniques for Customer Retention: A Comparative Study173 cited
  • 2020Churn Prediction in Telecommunication using Logistic Regression and Logit Boost160 cited
  • 2022Customer Churn in Retail E-Commerce Business: Spatial and Machine Learning Approach139 cited
  • 2023Customer churning analysis using machine learning algorithms95 cited
  • 2023E-commerce customer churn prevention using machine learning-based business intelligence strategy89 cited
  • 2023Investigating customer churn in banking: a machine learning approach and visualization app for data science and management84 cited
  • 2022Churn prediction in digital game-based learning using data mining techniques: Logistic regression, decision tree, and random forest62 cited
  • 2024Explaining customer churn prediction in telecom industry using tabular machine learning models51 cited
  • 2020Improved Accuracy of Naive Bayes Classifier for Determination of Customer Churn Uses SMOTE and Genetic Algorithms26 cited
  • 2019A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry22 cited
  • 2021Application of Machine Learning in Customer Churn Prediction21 cited

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