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JD Tech
JD Tech
Jul 18, 2025 · Artificial Intelligence

How AI Can Turn Codebases into Knowledge Graphs: A Practical Guide

An R&D newcomer struggles with undocumented code and hidden business rules, then builds a large-model-driven knowledge system that links code commits, requirement docs, and operational logs, enabling automated retrieval, intelligent prompts, and improved onboarding, illustrated through multi-stage implementation and practical API examples.

AIcode documentationknowledge management
0 likes · 12 min read
How AI Can Turn Codebases into Knowledge Graphs: A Practical Guide
JD Tech
JD Tech
Jul 11, 2025 · Artificial Intelligence

How JD’s PODM‑MI Model Revolutionizes E‑Commerce Search Ranking

JD’s algorithm engineer recounts how his team transformed e‑commerce search by developing the PODM‑MI re‑ranking framework, uncovering a novel “hourglass” bottleneck in generative retrieval, and implementing lightweight solutions that boosted diversity, relevance, and order volume, culminating in a SIGIR publication.

Gaussian modelingMachine LearningRe‑ranking
0 likes · 8 min read
How JD’s PODM‑MI Model Revolutionizes E‑Commerce Search Ranking
JD Tech
JD Tech
Jul 3, 2025 · Frontend Development

Boosting Mini‑Program Performance on HarmonyOS: How Cangjie Cuts API Latency by 50%

This article details a high‑performance, cross‑platform HarmonyOS mini‑program development practice that analyzes architecture, identifies JS API bottlenecks, demonstrates a step‑by‑step API call breakdown, and shows how the Cangjie language reduces getSystemInfo latency by over 50% while improving overall startup speed.

CangjieHarmonyOSMini Program
0 likes · 8 min read
Boosting Mini‑Program Performance on HarmonyOS: How Cangjie Cuts API Latency by 50%
JD Tech
JD Tech
Jul 2, 2025 · Backend Development

How We Tamed Database Lock Contention in High‑Volume Inventory Allocation

This article examines the severe row‑lock competition in MySQL during hot‑SKU inventory positioning, analyzes its causes and risks, and presents a comprehensive set of mitigation strategies—including DB account isolation, flow‑control, request merging, and message‑queue optimizations—validated by extensive performance testing and successful rollout across multiple clusters.

DatabaseMessage Queuebackend optimization
0 likes · 14 min read
How We Tamed Database Lock Contention in High‑Volume Inventory Allocation
JD Tech
JD Tech
Jun 20, 2025 · Artificial Intelligence

How JD‑Tech’s AnchorDP3 Dominated the CVPR 2025 Dual‑Arm Robotics Challenge

JD‑Tech leveraged large‑model innovations and a novel AnchorDP3 3D diffusion policy to win both stages of the CVPR 2025 dual‑arm manipulation competition, showcasing breakthroughs in synthetic data generation, multimodal perception, and precise trajectory control for embodied AI robots.

3D diffusion policyCVPR 2025Embodied AI
0 likes · 8 min read
How JD‑Tech’s AnchorDP3 Dominated the CVPR 2025 Dual‑Arm Robotics Challenge
JD Tech
JD Tech
Jun 18, 2025 · Backend Development

How to Instantly Spot Problematic SQL with a MyBatis Coloring Interceptor

This article explains how to implement a lightweight MyBatis interceptor that annotates SQL statements with their mapper ID and execution stack, enabling developers to quickly locate performance bottlenecks during high‑traffic events, and also shows an AspectJ alternative for non‑MyBatis projects.

DebuggingInterceptorJava
0 likes · 30 min read
How to Instantly Spot Problematic SQL with a MyBatis Coloring Interceptor
JD Tech
JD Tech
Jun 16, 2025 · Operations

How Advanced Optimization and Simulation Algorithms Transform Supply Chain Planning

This article explores how cutting‑edge optimization and simulation techniques empower supply‑chain planning—covering network design, inventory layout, and large‑scale scenario modeling—to reduce costs, improve efficiency, and enhance user experience through fast, scalable algorithms and AI‑driven insights.

Operations ResearchOptimizationSimulation
0 likes · 9 min read
How Advanced Optimization and Simulation Algorithms Transform Supply Chain Planning
JD Tech
JD Tech
Jun 16, 2025 · Artificial Intelligence

How JD Engineers Leverage LLMs and Sparse Models to Boost Search and Ads

This article showcases three JD tech case studies—using large language models for e‑commerce query expansion, applying sparse large models with scaling‑law experiments to improve ad prediction, and building proactive risk‑prevention systems—to illustrate practical AI engineering that drives higher recall, conversion, and system robustness.

AdvertisingLarge Language ModelScaling Law
0 likes · 8 min read
How JD Engineers Leverage LLMs and Sparse Models to Boost Search and Ads
JD Tech
JD Tech
May 26, 2025 · Artificial Intelligence

Solving Technical Challenges at JD Retail: Multi‑Reward Models, LLM‑Based Query Expansion, Model Pruning, and Reinforcement Learning

This article details how JD Retail's young algorithm engineers tackled a series of AI engineering problems—including advertising image quality assessment with multi‑reward models, large‑language‑model‑driven query expansion, FFT‑and‑RDP‑based model pruning, and agent‑centric reinforcement learning—while sharing practical growth insights and code snippets.

AIcomputer visionlarge language models
0 likes · 15 min read
Solving Technical Challenges at JD Retail: Multi‑Reward Models, LLM‑Based Query Expansion, Model Pruning, and Reinforcement Learning