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Using machine learning methods to predict future churners: an analysis of repeat hotel customers
16 references·0 citing·47 second hop
Using machine learning methods to predict future churners: an analysis of repeat hotel customers (2024)Using machine learning methods to predict…Extending the Theory of Planned Behavior to Predict Tourism Destination Revisit Intention (2019)Extending the Theory of Plann…Understanding customers' hotel revisiting behaviour: a sentiment analysis of online feedback reviews (2018)Understanding customers' hote…A machine learning framework for customer purchase prediction in the non-contractual setting (2018)A machine learning framework …Using data mining techniques for profiling profitable hotel customers: An application of RFM analysis (2016)Using data mining techniques …Travelers' switching behavior in the airline industry from the perspective of the push-pull-mooring framework (2016)Travelers' switching behavior…A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)A comparative analysis of dat…A comparison of machine learning techniques for customer churn prediction (2015)A comparison of machine learn…Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning (2013)Customer churn prediction in …CRITICAL INCIDENTS IN TOURISM: FAILURE, RECOVERY, CUSTOMER SWITCHING, AND WORD‐OF‐MOUTH BEHAVIORS (2009)CRITICAL INCIDENTS IN TOURISM…Integrating the voice of customers through call center emails into a decision support system for churn prediction (2008)Integrating the voice of cust…Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry (2006)Customer churn analysis: Chur…A Model of Customer Satisfaction and Retention for Hotels (2006)A Model of Customer Satisfact…Computer assisted customer churn management: State-of-the-art and future trends (2005)Computer assisted customer ch…Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Customer base analysis: parti…Customer attrition analysis for financial services using proportional hazard models (2003)Customer attrition analysis f…Consumer Perceptions of Price, Value and Satisfaction in the Hotel Industry: (1996)Consumer Perceptions of Price…Customer satisfaction, customer retention, and market share (1993)Understanding customer relationship management (CRM) (2003)The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)Customer churn prediction in telecommunications (2011)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)Customer churn prediction system: a machine learning approach (2021)Determinants of Long-Term Orientation in Buyer-Seller Relationships (1994)Customer Switching Behavior in Service Industries: An Exploratory Study (1995)The Behavioral Consequences of Service Quality (1996)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Turning telecommunications call details to churn prediction: a data mining approach (2002)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Customer churn prediction in the telecommunication sector using a rough set approach (2016)In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017)Zero defections: quality comes to services. (1990)A National Customer Satisfaction Barometer: The Swedish Experience (1992)Variable selection by association rules for customer churn prediction of multimedia on demand (2009)How value and trust influence loyalty in wireless telecommunications industry (2012)Improved churn prediction in telecommunication industry using data mining techniques (2014)The Commitment-Trust Theory of Relationship Marketing (1994)Customer churn prediction using improved balanced random forests (2008)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)On the Evaluation of Structural Equation Models (1988)Structural equation modeling in practice: A review and recommended two-step approach. (1988)The power of a thumbs-up: Will e-commerce switch to social commerce? (2017)Factors affecting hotel employees’ attrition and turnover: Application of pull-push-mooring framework (2019)Factors Influence Students’ Switching Behavior to Online Learning under COVID-19 Pandemic: A Push–Pull–Mooring Model Perspective (2021)Data preparation for data mining (1999)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)Credit Scoring and Its Applications (2002)An empirical comparison of techniques for the class imbalance problem in churn prediction (2017)Incorporating textual information in customer churn prediction models based on a convolutional neural network (2019)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)Relationship quality as a predictor of B2B customer loyalty (2006)A systematic review of the research trends of machine learning in supply chain management (2019)Machine learning in energy economics and finance: A review (2019)On the platform but will they buy? Predicting customers' purchase behavior using deep learning (2021)The theory of planned behavior (1991)COVID-19 and repeat visitation: Assessing the role of destination social responsibility, destination reputation, holidaymakers’ trust and fear arousal (2020)Understanding the intention to revisit a destination by expanding the theory of planned behaviour (TPB) (2021)Investigating the Impact of Smart Tourism Technologies on Tourists’ Experiences (2022)An Examination of the Determinants of Entertainment Vacationers’ Intentions to Revisit (2001)Comparative assessment of tourist satisfaction with destinations across two nationalities (2001)DEVELOPING DESTINATION LOYALTY: THE CASE OF HAINAN ISLAND (2013)
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References

  • 2015A comparison of machine learning techniques for customer churn prediction470 cited
  • 2003Customer attrition analysis for financial services using proportional hazard models430 cited
  • 2004Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting425 cited
  • 2005Computer assisted customer churn management: State-of-the-art and future trends340 cited
  • 2006Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry325 cited
  • 2019Extending the Theory of Planned Behavior to Predict Tourism Destination Revisit Intention305 cited
  • 1996Consumer Perceptions of Price, Value and Satisfaction in the Hotel Industry:300 cited
  • 2018A machine learning framework for customer purchase prediction in the non-contractual setting267 cited
  • 2016Travelers' switching behavior in the airline industry from the perspective of the push-pull-mooring framework241 cited
  • 2016A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry214 cited
  • 2008Integrating the voice of customers through call center emails into a decision support system for churn prediction163 cited
  • 2013Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning158 cited
  • 2006A Model of Customer Satisfaction and Retention for Hotels

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153 cited
  • 2016Using data mining techniques for profiling profitable hotel customers: An application of RFM analysis141 cited
  • 2018Understanding customers' hotel revisiting behaviour: a sentiment analysis of online feedback reviews129 cited
  • 2009CRITICAL INCIDENTS IN TOURISM: FAILURE, RECOVERY, CUSTOMER SWITCHING, AND WORD‐OF‐MOUTH BEHAVIORS126 cited
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