Recommendation-system A/B tests can systematically underestimate a new algorithm's true deployment effect because a small treatment group cannot trigger the full ecosystem's feedback loops, a bias the paper formalizes and illustrates.
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Algorithm Adaptation Bias in Recommendation System Online Experiments
Recommendation-system A/B tests can systematically underestimate a new algorithm's true deployment effect because a small treatment group cannot trigger the full ecosystem's feedback loops, a bias the paper formalizes and illustrates.