model consistency

Baidu Intelligent Testing

Oct 12, 2021 · Artificial Intelligence

Full‑Link Consistency Testing for Click‑Through Rate Models in Large‑Scale Machine Learning

The article describes a comprehensive full‑link consistency testing framework for click‑through‑rate models, defining consistency issues, outlining data and logic consistency goals, and presenting a multi‑stage technical solution—including online data capture, offline data stitching, q‑value comparison, and reporting—to ensure model stability and performance.

DNNData Pipelineclick‑through rate

0 likes · 18 min read

Full‑Link Consistency Testing for Click‑Through Rate Models in Large‑Scale Machine Learning

Baidu Intelligent Testing

Mar 10, 2021 · Artificial Intelligence

End-to-End Consistency Assurance for Click‑Through Rate Models: Methodology, Implementation, and Reporting

This article presents a comprehensive model quality assurance framework for click‑through‑rate (CTR) prediction, detailing the challenges of data and logic inconsistency, defining consistency goals, describing a full‑stack verification pipeline—including online data capture, offline sample alignment, multi‑stage q‑value comparison, and automated reporting—and sharing practical deployment experiences and results.

Data Governancectrmachine learning

0 likes · 19 min read

End-to-End Consistency Assurance for Click‑Through Rate Models: Methodology, Implementation, and Reporting