What is it about?
The paper introduces a novel uplift modeling technique, relying on the Knapsack Problem formulation, that dynamically optimizes the incremental treatment outcome subject to the required ROI constraints. The technique leverages Retrospective Estimation, a modeling approach that relies solely on data from positive outcome examples.
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This page is a summary of: Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints, September 2020, ACM (Association for Computing Machinery),
DOI: 10.1145/3383313.3412215.
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