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JD Tech Talk

Official JD Tech public account delivering best practices and technology innovation.

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JD Tech Talk
JD Tech Talk
May 7, 2025 · Backend Development

Implementing Contract Query and Delay Operations with an MCP Server

This article describes the background, functional requirements, and a complete Node.js implementation for querying contract information and handling contract extensions using natural‑language prompts through an MCP client and server architecture.

Contract ManagementMCPNatural Language
0 likes · 6 min read
Implementing Contract Query and Delay Operations with an MCP Server
JD Tech Talk
JD Tech Talk
May 6, 2025 · Backend Development

Building a Java Method Call‑Stack Tracing Tool to Accelerate Issue Diagnosis

This article describes the pain points of daily on‑call debugging, explains how Java StackTraceElement can be leveraged to construct a chain‑style call‑stack visualizer, details the implementation of a lightweight tracing utility with configurable filters, and demonstrates its integration and practical usage in production environments.

JavaPerformanceStackTrace
0 likes · 14 min read
Building a Java Method Call‑Stack Tracing Tool to Accelerate Issue Diagnosis
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 Tech Talk
JD Tech Talk
Apr 29, 2025 · Backend Development

Understanding Java ShutdownHook: Principles, Implementation, and Use Cases

This article explains the concept of Java's Runtime.addShutdownHook, details its underlying implementation in the Runtime and ApplicationShutdownHooks classes, demonstrates usage with code examples, discusses typical application scenarios, potential risks of long‑running hooks, and provides best‑practice recommendations for safe JVM shutdown handling.

JVMJavaRuntime
0 likes · 7 min read
Understanding Java ShutdownHook: Principles, Implementation, and Use Cases
JD Tech Talk
JD Tech Talk
Apr 27, 2025 · Artificial Intelligence

Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval

This paper investigates the "sandglass" phenomenon in residual‑quantized semantic identifiers for generative search and recommendation, analyzes its causes of path sparsity and long‑tail token distribution, and proposes heuristic and adaptive token‑removal methods that substantially improve model performance in e‑commerce scenarios.

Generative RetrievalRecommendation Systemsadaptive token removal
0 likes · 10 min read
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval
JD Tech Talk
JD Tech Talk
Apr 25, 2025 · Fundamentals

Comparing Go and Java: Language Features, Syntax, and Concurrency

This article compares Go and Java by examining their core language features, code organization, visibility rules, variable and constant declarations, method and function syntax, interface implementation, basic and reference data types, error handling mechanisms, and control‑flow constructs, providing Java developers with a concise guide to Go's design principles and cloud‑native strengths.

Error HandlingGoJava
0 likes · 23 min read
Comparing Go and Java: Language Features, Syntax, and Concurrency
JD Tech Talk
JD Tech Talk
Apr 22, 2025 · Artificial Intelligence

End-to-End 3D Spatial Video Generation via Monocular Depth Estimation, Novel View Synthesis, and MV-HEVC Encoding

Leveraging AI-driven monocular depth estimation, novel view synthesis, and MV‑HEVC encoding, the JD Retail Content R&D team presents an end‑to‑end pipeline that converts 2D video assets into high‑quality immersive 3D spatial videos, introduces the large‑scale StereoV1K dataset, and demonstrates superior performance over existing methods.

3D video generationAIGCMV-HEVC
0 likes · 22 min read
End-to-End 3D Spatial Video Generation via Monocular Depth Estimation, Novel View Synthesis, and MV-HEVC Encoding