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JD Tech Talk
JD Tech Talk
Apr 30, 2025 · Artificial Intelligence

Adaptive Degradation and Recovery for JD Alliance Recommendation System under High‑Frequency Traffic Spikes

The article presents a comprehensive adaptive degradation and automatic recovery framework for JD Alliance's recommendation system, designed to handle high‑frequency, instantaneous traffic surges during large promotions by combining real‑time monitoring, Wilson‑interval‑based timeout correction, scenario‑aware control, traffic slicing, linear‑programming‑driven chain optimization, and low‑cost business‑agnostic APIs, achieving over 90% reduction in traffic loss and zero incidents.

JD.comLinear Programmingadaptive degradation
0 likes · 11 min read
Adaptive Degradation and Recovery for JD Alliance Recommendation System under High‑Frequency Traffic Spikes
JD Cloud Developers
JD Cloud Developers
Apr 30, 2025 · Artificial Intelligence

How to Keep Recommendation Systems Stable During Sudden Traffic Surges

This article examines the challenges of handling high‑frequency, instantaneous traffic spikes in JD Alliance's recommendation system during major sales events and presents an adaptive, automated degradation and recovery framework that minimizes recommendation loss while maintaining system stability.

Linear Programmingadaptive degradationreal-time monitoring
0 likes · 11 min read
How to Keep Recommendation Systems Stable During Sudden Traffic Surges
JD Retail Technology
JD Retail Technology
Aug 14, 2024 · Artificial Intelligence

Adaptive Degradation and Recovery for JD Alliance Recommendation System During High‑Volume Promotions

This article describes how JD Alliance built an adaptive degradation and automatic recovery framework for its recommendation system to handle sudden, large‑scale traffic spikes during major sales events, ensuring stability while minimizing recommendation loss through real‑time monitoring, scenario‑aware control, and linear‑programming‑based pipeline orchestration.

JD.comLinear Programmingadaptive degradation
0 likes · 9 min read
Adaptive Degradation and Recovery for JD Alliance Recommendation System During High‑Volume Promotions