NetEase Cloud Music Tech Team
Nov 18, 2022 · Artificial Intelligence
Machine Learning-Based Anomaly Detection for Core Business Metrics
The paper proposes a containerized, machine‑learning framework that fuses rule‑based and XGBoost‑driven anomaly detection to monitor daily active users on a cloud music platform, achieving 89 % recall, 81 % precision and up to 74 % recall improvement over traditional threshold methods, while outlining future model refinement and broader metric applicability.
3-sigmaAnomaly DetectionHolt-Winters
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