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TBformer: Multi-Scale Transformer With Time-Behavior Attention for Multi-Modal Customer Churn Prediction
16 references·0 citing·49 second hopsampled
TBformer: Multi-Scale Transformer With Time-Behavior Attention for Multi-Modal Customer Churn Prediction (2025)TBformer: Multi-Scale Transformer With Ti…Risk assessment of customer churn in telco using FCLCNN-LSTM model (2024)Risk assessment of customer c…Customer churn prediction model based on hybrid neural networks (2024)Customer churn prediction mod…E-commerce customer churn prevention using machine learning-based business intelligence strategy (2023)E-commerce customer churn pre…Customer churn prediction model in cloud environment using DFE-WUNB: ANN deep feature extraction with Weight Updated Tuned Naïve Bayes classification with Block-Jacobi SVD dimensionality reduction (2023)Customer churn prediction mod…Customer Churn Prediction in Influencer Commerce: An Application of Decision Trees (2022)Customer Churn Prediction in …Customer churn prediction for web browsers (2022)Customer churn prediction for…Customer churn prediction system: a machine learning approach (2021)Customer churn prediction sys…Lifelog Data-Based Prediction Model of Digital Health Care App Customer Churn: Retrospective Observational Study (2020)Lifelog Data-Based Prediction…Dynamic behavior based churn prediction in mobile telecom (2020)Dynamic behavior based churn …Customer churn prediction in telecom using machine learning in big data platform (2019)Customer churn prediction in …I Know You'll Be Back (2018)I Know You'll Be BackProfit maximizing logistic regression modeling for customer churn prediction (2015)Profit maximizing logistic re…Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning (2013)Customer churn prediction in …Customer churn prediction using improved balanced random forests (2008)Customer churn prediction usi…Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Customer Switching Behavior i…Defensive Marketing Strategy by Customer Complaint Management: A Theoretical Analysis (1987)Defensive Marketing Strategy …The critical incident technique. (1954)Measuring Service Quality: A Reexamination and Extension (1992)A Model of Customer Satisfaction with Service Encounters Involving Failure and Recovery (1999)Whence Consumer Loyalty? (1999)Self-Service Technologies: Understanding Customer Satisfaction with Technology-Based Service Encounters (2000)The Discovery of Grounded Theory (2017)Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior (2000)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Megamarketing: The Creation of Markets as a Social Process (2010)‘You will like it!’ using open data to predict tourists' response to a tourist attraction (2017)Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Application of machine learning to construction injury prediction (2016)A machine learning framework for customer purchase prediction in the non-contractual setting (2018)Exit, Voice, and Loyalty (1970)A Model of Advertising and Product Quality (1978)A National Customer Satisfaction Barometer: The Swedish Experience (1992)The American Customer Satisfaction Index: Nature, Purpose, and Findings (1996)The Behavioral Consequences of Service Quality (1996)Advances in Consumer Research (2025)Time Series Analysis: Forecasting and Control. (1978)A novel evolutionary data mining algorithm with applications to churn prediction (2003)What We Instagram: A First Analysis of Instagram Photo Content and User Types (2014)Characterizing and Forecasting User Engagement with In-App Action Graph (2019)A survey on machine learning methods for churn prediction (2022)Exploiting time-varying RFM measures for customer churn prediction with deep neural networks (2023)Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market (2001)Turning telecommunications call details to churn prediction: a data mining approach (2002)Handling class imbalance in customer churn prediction (2008)Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques (2022)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)Applying data mining to telecom churn management (2005)A comparison of machine learning techniques for customer churn prediction (2015)A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy (2022)Deep Churn Prediction Method for Telecommunication Industry (2023)Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning (2025)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Customer churning analysis using machine learning algorithms (2023)A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Customer churn prediction in telecommunication industry using data certainty (2018)Predictive Churn Modeling for Sustainable Business in the Telecommunication Industry: Optimized Weighted Ensemble Machine Learning (2023)Customer churn prediction in imbalanced datasets with resampling methods: A comparative study (2024)Ensemble-based deep learning techniques for customer churn prediction model (2024)Modeling churn using customer lifetime value (2008)An extended support vector machine forecasting framework for customer churn in e-commerce (2010)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)
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References

  • 1995Customer Switching Behavior in Service Industries: An Exploratory Study2,939 cited
  • 1987Defensive Marketing Strategy by Customer Complaint Management: A Theoretical Analysis1,399 cited
  • 2019Customer churn prediction in telecom using machine learning in big data platform576 cited
  • 2008Customer churn prediction using improved balanced random forests434 cited
  • 2021Customer churn prediction system: a machine learning approach384 cited
  • 2013Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning158 cited
  • 2020Dynamic behavior based churn prediction in mobile telecom114 cited
  • 2023E-commerce customer churn prevention using machine learning-based business intelligence strategy89 cited
  • 2018I Know You'll Be Back80 cited
  • 2022Customer Churn Prediction in Influencer Commerce: An Application of Decision Trees51 cited
  • 2024Customer churn prediction model based on hybrid neural networks37 cited
  • 2022Customer churn prediction for web browsers32 cited
  • 2024Risk assessment of customer churn in telco using FCLCNN-LSTM model27 cited
  • 2023Customer churn prediction model in cloud environment using DFE-WUNB: ANN deep feature extraction with Weight Updated Tuned Naïve Bayes classification with Block-Jacobi SVD dimensionality reduction

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20 cited
  • 2020Lifelog Data-Based Prediction Model of Digital Health Care App Customer Churn: Retrospective Observational Study20 cited
  • 2015Profit maximizing logistic regression modeling for customer churn prediction20 cited
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