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A prediction model for the purchase probability of anonymous customers to support real time web marketing: a case study
3 references·5 citing·41 second hop
A prediction model for the purchase probability of anonymous customers to support real time web marketing: a case study (2004)A prediction model for the purchase proba…An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry (2003)An LTV model and customer seg…A data mining approach to the prediction of corporate failure (2001)A data mining approach to the…Competitive advantages in virtual markets ‐ perspectives of “information‐based marketing” in cyberspace (1998)Competitive advantages in vir…An analyses of the effect of using contextual and loyalty features on early purchase prediction of shoppers in e-commerce domain (2022)An analyses of the effect of …Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning (2021)Predictive analytics for cust…Al-enabled biometrics in recruiting: Insights from marketers for managers (2020)Al-enabled biometrics in recr…A recommender system to avoid customer churn: A case study (2008)A recommender system to avoid…A Fuzzy Multiple Criteria Decision-making Model for Evaluating Travel Websites (2007)A Fuzzy Multiple Criteria Dec…Management. Tasks, Responsibilities, Practices. (1975)Assessing Advantage: A Framework for Diagnosing Competitive Superiority (1988)The Use of Knowledge in Society (1996)The impact of e‐commerce on supply chain relationships (2002)New ventures based on open innovation an empirical analysis of start-up firms in embedded Linux (2006)The effect of Internet general privacy concern on customer behavior (2007)Customer segmentation and strategy development based on customer lifetime value: A case study (2005)Predicting customer retention and profitability by using random forests and regression forests techniques (2005)Customer portfolio analysis using the SOM (2011)Maschinelles Lernen (2018)Using machine learning methods to predict future churners: an analysis of repeat hotel customers (2024)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Ranking-order case-based reasoning for financial distress prediction (2008)Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods (2010)Prediction of hotel bankruptcy using support vector machine, artificial neural network, logistic regression, and multivariate discriminant analysis (2010)Customer lifetime valuation to support marketing decision making (1997)Customer lifetime value: Marketing models and applications (1998)Customer lifetime value research in marketing: A review and future directions (2002)Computer assisted customer churn management: State-of-the-art and future trends (2005)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Developing and validating an instrument for measuring user-perceived web quality (2002)Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS (2003)Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey (2003)Employee-Organization Linkages: The Psychology of Commitment, Absenteeism, and Turnover. (1984)Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1 (1992)Accounting for common method variance in cross-sectional research designs. (2001)Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector (2023)The effect of AI-enabled HRM dimensions on employee engagement and sustainable organisational performance: fusion skills as a moderator (2024)Counting Your Customers: Who-Are They and What Will They Do Next? (1987)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)Modeling Customer Lifetime Value (2006)How to motivate consumers’ impulse buying and repeat buying? The role of marketing stimuli, situational factors and personality (2023)Prediction of hotel booking cancellations: Integration of machine learning and probability model based on interpretable feature interaction (2023)Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction (2024)Design Science in Information Systems Research1 (2004)A Design Science Research Methodology for Information Systems Research (2007)Online Behavioral Advertising: A Literature Review and Research Agenda (2017)Predicting online customer purchase: The integration of customer characteristics and browsing patterns (2023)An Analysis of Consumer Purchase Behavior Following Cart Addition in E-Commerce Utilizing Explainable Artificial Intelligence (2025)
this work references cited by second hop

References

  • 2003An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry411 cited
  • 1998Competitive advantages in virtual markets ‐ perspectives of “information‐based marketing” in cyberspace161 cited
  • 2001A data mining approach to the prediction of corporate failure143 cited

Cited by

  • 2021Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning55 cited
  • 2022An analyses of the effect of using contextual and loyalty features on early purchase prediction of shoppers in e-commerce domain45 cited
  • 2008A recommender system to avoid customer churn: A case study42 cited
  • 2020Al-enabled biometrics in recruiting: Insights from marketers for managers36 cited
  • 2007A Fuzzy Multiple Criteria Decision-making Model for Evaluating Travel Websites36 cited

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