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Latest from JD Retail Technology

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JD Retail Technology

Jul 11, 2025 · Artificial Intelligence

How JD’s PODM‑MI Model Boosted E‑commerce Search Diversity and Sales

JD’s algorithm engineer describes how a three‑layer PODM‑MI re‑ranking framework, combining Gaussian preference modeling, mutual‑information optimization, and utility‑matrix fusion, overcame the hourglass bottleneck in generative retrieval, dramatically improving search diversity, user experience, and generating over ten million additional orders.

AIRe‑rankinge-commerce

0 likes · 9 min read

How JD’s PODM‑MI Model Boosted E‑commerce Search Diversity and Sales

JD Retail Technology

Jul 3, 2025 · Mobile Development

How Cangjie Boosts Performance of JD Mini‑Programs on HarmonyOS

At the 2025 Huawei Developer Conference, JD’s team demonstrated how integrating the Cangjie language into HarmonyOS mini‑programs can halve API execution time, reduce main‑thread load, and improve cold‑start performance by over 20%, offering a high‑performance, cross‑platform development solution.

CangjieCross‑platformHarmonyOS

0 likes · 9 min read

How Cangjie Boosts Performance of JD Mini‑Programs on HarmonyOS

JD Retail Technology

Jul 1, 2025 · Artificial Intelligence

JoyGen: Audio‑Driven 3D Depth‑Aware Talking‑Face Video Editing Explained

JoyGen introduces a two‑stage framework that generates high‑quality talking‑face videos by synchronizing lip movements with input audio using 3DMM‑based identity and expression coefficients, depth‑aware supervision, and a newly built high‑resolution Chinese speaking‑face dataset, achieving state‑of‑the‑art performance on multiple benchmarks.

3DMMAIGCaudio-driven video

0 likes · 13 min read

JoyGen: Audio‑Driven 3D Depth‑Aware Talking‑Face Video Editing Explained

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 inferenceModel Optimizatione-commerce

0 likes · 7 min read

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

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.

AILogisticsdata engineering

0 likes · 16 min read

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

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.

FrameworksPerformanceXR

0 likes · 13 min read

How Leading Tech Giants Are Revolutionizing Cross‑Platform Dynamic Rendering

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.

ExplainabilityFlinkfeature engineering

0 likes · 23 min read

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

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-APICross‑platformHarmonyOS

0 likes · 9 min read

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

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.

Large Language Modelad fraud detectionindustry AI

0 likes · 12 min read

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

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