Search Results for author: Felipe Moraes

Found 4 papers, 0 papers with code

Uplift Modeling: from Causal Inference to Personalization

no code implementations17 Aug 2023 Felipe Moraes, Hugo Manuel Proença, Anastasiia Kornilova, Javier Albert, Dmitri Goldenberg

Uplift modeling is a collection of machine learning techniques for estimating causal effects of a treatment at the individual or subgroup levels.

Causal Inference

Incremental Profit per Conversion: a Response Transformation for Uplift Modeling in E-Commerce Promotions

no code implementations23 Jun 2023 Hugo Manuel Proença, Felipe Moraes

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

no code implementations9 Sep 2022 Bram van den Akker, Niklas Weber, Felipe Moraes, Dmitri Goldenberg

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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