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Decision Trees for Uplift Modeling
1 references·7 citing·22 second hop
Decision Trees for Uplift Modeling (2010)Decision Trees for Uplift ModelingThe true lift model (2002)The true lift modelDynamic Marketing Uplift Modeling: A Symmetry-Preserving Framework Integrating Causal Forests with Deep Reinforcement Learning for Personalized Intervention Strategies (2025)Dynamic Marketing Uplift Mode…Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (2024)Rankability-enhanced Revenue …Exploring uplift modeling with high class imbalance (2023)Exploring uplift modeling wit…Qini-based uplift regression (2021)Qini-based uplift regression$$L_p$$ L p -Support vector machines for uplift modeling (2017)$$L_p$$ L p -Support vector m…Support Vector Machines for Uplift Modeling (2013)Support Vector Machines for U…Uplift Modeling in Direct Marketing (2012)Uplift Modeling in Direct Mar…Decision trees for uplift modeling with single and multiple treatments (2011)Real-World Uplift Modelling with Significance-Based Uplift Trees (2012)Direct Marketing Management (1989)Strategic database marketing (1994)Customer Equity: Building and Managing Relationships As Valuable Assets (2001)A Literature Survey and Experimental Evaluation of the State-of-the-Art in Uplift Modeling: A Stepping Stone Toward the Development of Prescriptive Analytics (2018)Why you should stop predicting customer churn and start using uplift models (2019)A NEW MEASURE OF RANK CORRELATION (1938)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Customer churn prediction model: a case of the telecommunication market (2022)Journal of the American Statistical Association (1995)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)Mining for the truly responsive customers and prospects using true-lift modeling: Comparison of new and existing methods (2014)Response transformation and profit decomposition for revenue uplift modeling (2019)RFM and CLV: Using Iso-Value Curves for Customer Base Analysis (2005)Modeling Customer Lifetime Value (2006)Bandit Algorithms (2020)Conversion Uplift in E-Commerce: A Systematic Benchmark of Modeling Strategies (2019)Fulfillment by Amazon versus fulfillment by seller: An interpretable risk‐adjusted fulfillment model (2020)Bridging the Gap: A Systematic Benchmarking of Uplift Modeling and Heterogeneous Treatment Effects Methods (2022)Multiple Treatment Modeling for Target Marketing Campaigns: A Large-Scale Benchmark Study (2022)
this work references cited by second hop

References

  • 2002The true lift model147 cited

Cited by

  • 2013Support Vector Machines for Uplift Modeling55 cited
  • 2012Uplift Modeling in Direct Marketing39 cited
  • 2025Dynamic Marketing Uplift Modeling: A Symmetry-Preserving Framework Integrating Causal Forests with Deep Reinforcement Learning for Personalized Intervention Strategies18 cited
  • 2017$$L_p$$ L p -Support vector machines for uplift modeling17 cited
  • 2024Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing15 cited
  • 2021Qini-based uplift regression15 cited
  • 2023Exploring uplift modeling with high class imbalance15 cited

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