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DataFunTalk
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 testingDidiadaptive grouping
0 likes · 11 min read
Adaptive Grouping Method for Improving AB Test Allocation Uniformity in Didi's Experiment Platform
Didi Tech
Didi Tech
May 28, 2020 · Artificial Intelligence

Adaptive Grouping Method for AB Testing in Didi’s Experiment Platform

Didi’s AI Lab introduces an Adaptive grouping algorithm for its Apollo AB‑testing platform that allocates users in a single pass using direct and indirect scores, achieving over 95 % balance probability and reducing group imbalance from 14 % (CR) and 2.7 % (RR) to under 0.8 %.

AB testingadaptive groupingalgorithm
0 likes · 11 min read
Adaptive Grouping Method for AB Testing in Didi’s Experiment Platform