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Improving Customer Value Index and Consumption Forecasts Using a Weighted RFM Model and Machine Learning Algorithms
15 references·3 citing·50 second hop
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References

  • 1997Customer value: The next source for competitive advantage4,662 cited
  • 2008Classifying the segmentation of customer value via RFM model and RS theory426 cited
  • 2004An integrated data mining and behavioral scoring model for analyzing bank customers234 cited
  • 2011Estimating customer lifetime value based on RFM analysis of customer purchase behavior: Case study182 cited
  • 2019Long-term forecast of energy commodities price using machine learning151 cited
  • 2016Using data mining techniques for profiling profitable hotel customers: An application of RFM analysis141 cited
  • 2018Classification of intraday S&P500 returns with a Random Forest98 cited
  • 2011Estimating customer future value of different customer segments based on adapted RFM model in retail banking context90 cited
  • 2019Demand forecasting in restaurants using machine learning and statistical analysis75 cited
  • 2017Car resale price forecasting: The impact of regression method, private information, and heterogeneity on forecast accuracy73 cited
  • 2017A forecast for bicycle rental demand based on random forests and multiple linear regression71 cited
  • 2018How to Engineer Gamification68 cited
  • 2018Impact of Information Technology on Information Search Channel Selection for Consumers63 cited
  • 2014A New Application of RFM Clustering for Guild Segmentation to Mine the Pattern of Using Banks’ e-Payment Services

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24 cited
  • 2015A Fuzzy ANP Based Weighted RFM Model for Customer Segmentation in Auto Insurance Sector22 cited
  • Cited by

    • 2024Digital Transformation and Green Investment of Heavily Polluting Enterprises: The Threshold Effects of Heterogeneous Environmental Regulations31 cited
    • 2023Uncovering the Dark Side of Artificial Intelligence in Electronic Markets22 cited
    • 2024Enhancing Learners' Performance in Contest Through Knowledge Mapping Algorithm22 cited