DataFunTalk
May 31, 2020 · Big Data
Adaptive Grouping Method for Improving AB Test Allocation Uniformity in Didi's Experiment Platform
This article introduces Didi's adaptive grouping algorithm, which enhances the uniformity of user allocation in AB experiments by replacing traditional complete randomization with a single-pass method that balances observed metrics across groups, and demonstrates its effectiveness through large‑scale experimental results.
AB testingData-drivenDidi
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