Eugene Yan • 4/10/2022

Counterfactual Evaluation for Recommendation Systems

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This article discusses the limitations of traditional offline evaluation for recommendation systems, arguing they are interventional, not observational, problems. It introduces counterfactual evaluation as a method to estimate the impact of new recommendations using historical data, without needing live A/B tests.

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#Machine Learning #recommendation systems #Evaluation
Counterfactual Evaluation for Recommendation Systems

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