Sep 2, 2022 · Artificial Intelligence

How Hulu Eliminated Feature Drift with Server‑Side Feature Logging

This article explains Hulu's server‑side feature logging system that aligns online and offline recommendation features, measures and mitigates feature drift caused by data source, timing, and code differences, and improves model performance while reducing resource consumption.

Hulufeature driftfeature logging

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How Hulu Eliminated Feature Drift with Server‑Side Feature Logging

Baidu Geek Talk

Aug 16, 2021 · Artificial Intelligence

End-to-End Consistency Testing Solution for Click-Through Rate Models in Advertising Systems

The article describes Baidu’s end-to-end consistency testing framework for advertising click-through-rate models, which uses a five-stream verification pipeline and six implementation phases to compare Q-values across feature extraction, table conversions, and DNN computation, enabling precise detection and localization of data and model inconsistencies in production.

BaiduCTR predictionMachine learning testing

0 likes · 17 min read

End-to-End Consistency Testing Solution for Click-Through Rate Models in Advertising Systems