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JD Retail Technology
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JD Retail Technology

Official platform of JD Retail Technology, delivering insightful R&D news and a deep look into the lives and work of technologists.

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Recent Articles

Latest from JD Retail Technology

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JD Retail Technology
JD Retail Technology
Jun 20, 2025 · Artificial Intelligence

How JD Retail’s xLLM Architecture Revolutionizes AI Inference for E‑Commerce

The article details JD Retail’s collaboration with Tsinghua University to build the xLLM edge‑cloud unified large‑model inference framework, addressing e‑commerce AI challenges such as diverse inputs, task scheduling, model compression, and cost, while outlining future research directions and performance gains.

AI inferenceE-commerceedge-cloud
0 likes · 7 min read
How JD Retail’s xLLM Architecture Revolutionizes AI Inference for E‑Commerce
JD Retail Technology
JD Retail Technology
Jun 18, 2025 · Artificial Intelligence

How JD’s Tech Teams Power 618: AI, Logistics, and Voice Innovations

The article explores how JD’s engineers across retail, logistics, and AI divisions use model distillation, data selection, intelligent routing, and advanced voice recognition to improve the 618 shopping festival experience, highlighting real‑world technical challenges, solutions, and the company’s talent development programs.

AIData Engineeringlogistics
0 likes · 16 min read
How JD’s Tech Teams Power 618: AI, Logistics, and Voice Innovations
JD Retail Technology
JD Retail Technology
Jun 17, 2025 · Frontend Development

How Leading Tech Giants Are Revolutionizing Cross‑Platform Dynamic Rendering

A multi‑company technical salon gathered experts from Alipay, Kuaishou, Huawei, ByteDance and JD to share cutting‑edge cross‑platform dynamic rendering techniques, framework evolutions, performance optimizations, and future directions, offering developers deep insights into building high‑efficiency, multi‑device applications.

FrameworksXRcross‑platform
0 likes · 13 min read
How Leading Tech Giants Are Revolutionizing Cross‑Platform Dynamic Rendering
JD Retail Technology
JD Retail Technology
Jun 10, 2025 · Artificial Intelligence

How JD Builds a Scalable AI‑Powered Recommendation Data System with Flink

This article explains JD's complex recommendation system data pipeline—from indexing, sampling, and feature engineering to explainability and real‑time metrics—highlighting challenges such as data consistency, latency, and the use of Flink for massive, low‑latency processing.

Flinkexplainabilityfeature engineering
0 likes · 23 min read
How JD Builds a Scalable AI‑Powered Recommendation Data System with Flink
JD Retail Technology
JD Retail Technology
May 27, 2025 · Frontend Development

Taro on Harmony C‑API: Cross‑Platform Frontend Framework for HarmonyOS

The article introduces Taro on Harmony's C‑API version, detailing its evolution, open‑source release, three‑layer architecture, rich component and CSS support, high‑performance rendering, installation steps, and future roadmap, positioning it as a leading framework for developing native‑like HarmonyOS applications.

C APIHarmonyOSReAct
0 likes · 9 min read
Taro on Harmony C‑API: Cross‑Platform Frontend Framework for HarmonyOS
JD Retail Technology
JD Retail Technology
May 22, 2025 · Industry Insights

Cracking Hidden Ad Fraud: JD’s AI‑Driven Anti‑Cheat System Explained

This article recounts the journey of a JD PhD trainee who transformed academic research on anomaly detection into a production‑grade, LLM‑enhanced anti‑fraud system that identifies concealed address codes in CPS ads, detailing model design, LoRA fine‑tuning, reinforcement learning, distillation, cost‑aware deployment, and lessons learned for scalable ad risk management.

Industry AIad fraud detectionlarge language model
0 likes · 12 min read
Cracking Hidden Ad Fraud: JD’s AI‑Driven Anti‑Cheat System Explained
JD Retail Technology
JD Retail Technology
May 19, 2025 · Artificial Intelligence

How JD’s Omniforce Boosts Large Model Efficiency with Cloud‑Edge Collaboration

The JD Exploration Institute paper introduces Omniforce, a human‑centered, cloud‑edge collaborative AutoML system that uses model distillation, dynamic data governance, Bayesian‑optimized training, and edge deployment to cut large‑model training costs by 70% and improve inference speed by 30%, powering the JoyBuild platform for broader AI adoption.

AI EfficiencyAutoMLJoyBuild
0 likes · 6 min read
How JD’s Omniforce Boosts Large Model Efficiency with Cloud‑Edge Collaboration
JD Retail Technology
JD Retail Technology
May 7, 2025 · Artificial Intelligence

Solving Technical Challenges with Large AI Models at JD Retail: Reward Modeling, Query Expansion, and Model Pruning

JD Retail’s engineering team tackles hard AI problems by replacing a monolithic reward model with specialized small models for ad‑image generation, deploying an LLM‑driven query‑expansion pipeline that lifts conversion rates, and pruning text‑to‑image transformers using FFT and RDP to boost throughput 40% without loss, while building comprehensive evaluation tools and a semantic smart‑assistant.

AIReward Modelinglarge models
0 likes · 14 min read
Solving Technical Challenges with Large AI Models at JD Retail: Reward Modeling, Query Expansion, and Model Pruning
JD Retail Technology
JD Retail Technology
Apr 28, 2025 · Frontend Development

Technical Overview of Taro on Harmony: Cross‑Platform Development for HarmonyOS

The Taro‑on‑Harmony solution lets developers write a single React‑based codebase that compiles to native HarmonyOS apps with C‑API‑driven rendering, offering both single‑thread and multi‑thread architectures, full component and CSS support, high‑performance UI, and upcoming tooling, as demonstrated by JD.com’s S‑level certified shopping app.

CAPIHarmonyOSTaRO
0 likes · 10 min read
Technical Overview of Taro on Harmony: Cross‑Platform Development for HarmonyOS