Offline A/B Testing for Recommender Systems.

WSDM 2018: The Eleventh ACM International Conference on Web Search and Data Mining Marina De..., (2018): 198-206

Cited by: 97|Views238
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Abstract

Online A/B testing evaluates the impact of a new technology by running it in a real production environment and testing its performance on a subset of the users of the platform. It is a well-known practice to run a preliminary offline evaluation on historical data to iterate faster on new ideas, and to detect poor policies in order to avoi...More

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Alexandre Gilotte
Alexandre Gilotte
Simon Dollé
Simon Dollé
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