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A large scale benchmark for uplift modeling
2 references·2 citing·19 second hop
A large scale benchmark for uplift modeling (2024)A large scale benchmark for uplift modeli…Real-World Uplift Modelling with Significance-Based Uplift Trees (2012)Real-World Uplift Modelling w…Using control groups to target on predicted lift: Building and assessing uplift model (2007)Using control groups to targe…To Treat, or Not to Treat: Reducing Volatility in Uplift Modeling Through Weighted Ensembles (2021)To Treat, or Not to Treat: Re…Targeting customers under response-dependent costs (2021)Targeting customers under res…The Shorter Oxford English Dictionary (1937)Crossing the chasm : marketing and selling technology products to mainstream customers (1991)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Ensemble methods for uplift modeling (2014)Mining for the truly responsive customers and prospects using true-lift modeling: Comparison of new and existing methods (2014)Why you should stop predicting customer churn and start using uplift models (2019)Data mining for direct marketing: problems and solutions (1998)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Marketing Analytics for Data-Rich Environments (2016)Multiple Treatment Modeling for Target Marketing Campaigns: A Large-Scale Benchmark Study (2022)Exploring uplift modeling with high class imbalance (2023)Green rewards vs. non-green rewards? The impact of hotel marketing incentives on guests’ green consumption intentions (2024)Incremental value modeling (2002)Quantitative models for direct marketing: A review from systems perspective (2008)A comparison of machine learning techniques for customer churn prediction (2015)A gateway toward truly responsive customers: using the uplift modeling to increase the performance of a B2B marketing campaign (2023)Dynamic pricing of airline offers (2018)Response transformation and profit decomposition for revenue uplift modeling (2019)Uplift modeling and its implications for B2B customer churn prediction: A segmentation-based modeling approach (2021)
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References

  • 2012Real-World Uplift Modelling with Significance-Based Uplift Trees90 cited
  • 2007Using control groups to target on predicted lift: Building and assessing uplift model71 cited

Cited by

  • 2021Targeting customers under response-dependent costs26 cited
  • 2021To Treat, or Not to Treat: Reducing Volatility in Uplift Modeling Through Weighted Ensembles10 cited

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