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Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing
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Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing (2023)Direct Heterogeneous Causal Learning for …A large scale benchmark for uplift modeling (2024)A large scale benchmark for u…LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm (2022)LBCF: A Large-Scale Budget-Co…Smart “Predict, then Optimize” (2021)Smart “Predict, then Optimize”Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach (2021)Markdowns in E-Commerce Fresh…Improve User Retention with Causal Learning (2019)Improve User Retention with C…A Unified Framework for Marketing Budget Allocation (2019)A Unified Framework for Marke…Decision Trees for Uplift Modeling (2010)Decision Trees for Uplift Mod…The true lift model (2002)Uplift Modeling in Direct Marketing (2012)Support Vector Machines for Uplift Modeling (2013)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)A Stochastic Approximation Method (1951)Dynamic Version of the Economic Lot Size Model (1958)Dynamic Version of the Economic Lot Size Model (2004)Forecasting: theory and practice (2022)From natural language to simulations: applying AI to automate simulation modelling of logistics systems (2023)Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability (2023)Balancing Acquisition and Retention Resources to Maximize Customer Profitability (2004)Analytics for an Online Retailer: Demand Forecasting and Price Optimization (2015)Big data analytics in E-commerce: a systematic review and agenda for future research (2016)Explicit Feature Interaction-aware Uplift Network for Online Marketing (2023)Using control groups to target on predicted lift: Building and assessing uplift model (2007)Real-World Uplift Modelling with Significance-Based Uplift Trees (2012)Targeting customers under response-dependent costs (2021)To Treat, or Not to Treat: Reducing Volatility in Uplift Modeling Through Weighted Ensembles (2021)Product sales forecasting using online reviews and historical sales data: A method combining the Bass model and sentiment analysis (2017)Pricing and Revenue Optimization (2020)Promotheus (2022)A dynamic segmentation approach for targeting and customizing direct marketing campaigns (2006)Decision trees for uplift modeling with single and multiple treatments (2011)From Infrastructure to Culture (2015)
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References

  • 2021Smart “Predict, then Optimize”880 cited
  • 2010Decision Trees for Uplift Modeling74 cited
  • 2019A Unified Framework for Marketing Budget Allocation46 cited
  • 2024A large scale benchmark for uplift modeling33 cited
  • 2022LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm24 cited
  • 2021Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach21 cited
  • 2019Improve User Retention with Causal Learning10 cited

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