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Uplift Modeling: from Causal Inference to Personalization
Uplift modeling is a collection of machine learning techniques for estimating causal effects of a treatment at the individual or subgroup levels.
Incremental Profit per Conversion: a Response Transformation for Uplift Modeling in E-Commerce Promotions
Promotions play a crucial role in e-commerce platforms, and various cost structures are employed to drive user engagement.
Extending Open Bandit Pipeline to Simulate Industry Challenges
Bandit algorithms are often used in the e-commerce industry to train Machine Learning (ML) systems when pre-labeled data is unavailable.
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