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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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JD Retail Technology
JD Retail Technology
Sep 4, 2025 · Operations

Mastering High Availability: Real-World Pitfalls and Solutions from JD's Production Systems

This article walks through the challenges of building high‑availability systems—covering applications, databases, caches, message queues, containers, GC, and more—using JD’s production experiences to highlight common pitfalls, root‑cause analyses, and practical mitigation strategies for engineers seeking resilient architecture.

CacheDistributed SystemsJDK
0 likes · 37 min read
Mastering High Availability: Real-World Pitfalls and Solutions from JD's Production Systems
JD Retail Technology
JD Retail Technology
Aug 29, 2025 · Artificial Intelligence

Turning a General LLM into an E‑commerce Risk‑Detection Expert: A Step‑by‑Step Prompt Engineering Guide

The article recounts how a risk‑control algorithm engineer transformed a generic large language model into a specialized e‑commerce fraud detector by iteratively designing prompts, injecting business rules, structuring I/O, and introducing a dual‑hypothesis decision framework to achieve accurate, automated risk analysis.

Artificial IntelligenceLLMMachine Learning
0 likes · 11 min read
Turning a General LLM into an E‑commerce Risk‑Detection Expert: A Step‑by‑Step Prompt Engineering Guide
JD Retail Technology
JD Retail Technology
Aug 22, 2025 · Artificial Intelligence

How JD’s Open‑Source Large‑Model Tools Are Shaping the Future of Enterprise AI

This article explores the rapid evolution of large‑model AI tools, outlines JD’s open‑source solutions such as JoyAI, JoyAgent, OxyGent and JoyCode, and examines real‑world applications, design principles, policy considerations, and future directions for AI agents and embodied intelligence.

AI PolicyAI applicationsEnterprise AI
0 likes · 12 min read
How JD’s Open‑Source Large‑Model Tools Are Shaping the Future of Enterprise AI
JD Retail Technology
JD Retail Technology
Aug 20, 2025 · Artificial Intelligence

Launch Multi-Agent AI Systems with OxyGent in Just 20 Lines of Code

Learn how to quickly set up OxyGent, a flexible AI agent framework, by installing Python, Node.js, and the MCP tools, configuring environment variables, and using just 20 lines of code to build, debug, and deploy multi‑agent applications with features like RAG, tool integration, and distributed execution.

DeploymentOxyGentRAG
0 likes · 5 min read
Launch Multi-Agent AI Systems with OxyGent in Just 20 Lines of Code
JD Retail Technology
JD Retail Technology
Aug 14, 2025 · Artificial Intelligence

Boosting Text-to-SQL Accuracy: J‑Schema, Iterative DPO, and Self‑Consistency

This article surveys the evolution of Text-to-SQL, introduces the J‑Schema representation and chain-of-thought prompting, details an iterative DPO training pipeline with hyper‑parameter tuning, and demonstrates how self‑consistency voting boosts execution accuracy on the BIRD benchmark from 56.6% to 69.2%.

BIRD datasetIterative DPOLLM
0 likes · 14 min read
Boosting Text-to-SQL Accuracy: J‑Schema, Iterative DPO, and Self‑Consistency
JD Retail Technology
JD Retail Technology
Jul 31, 2025 · Artificial Intelligence

How AI is Revolutionizing Supply Chains: JD.com’s Billion‑Parameter Time‑Series Model

At the 2025 AI Innovation & Entrepreneurship Conference in Hangzhou, JD.com’s chief scientists unveiled a billion‑parameter time‑series large model and end‑to‑end inventory algorithms that dramatically boost demand forecasting, dynamic allocation, and overall supply‑chain efficiency, illustrating how AI can transform global logistics networks.

AIData‑Driven Decision MakingLogistics Optimization
0 likes · 10 min read
How AI is Revolutionizing Supply Chains: JD.com’s Billion‑Parameter Time‑Series Model
JD Retail Technology
JD Retail Technology
Jul 21, 2025 · Artificial Intelligence

How Causal Inference Meets Large Language Models to Revolutionize E‑commerce Pricing

This article presents a comprehensive approach that combines causal inference, large language models, and retrieval‑augmented generation to automate e‑commerce price recommendation, detailing the three‑step workflow, challenges across product categories, the RAG architecture, process‑reward‑guided tree search, reinforcement learning refinements, and experimental results showing significant accuracy and speed improvements.

causal inferencechain-of-thoughte‑commerce pricing
0 likes · 16 min read
How Causal Inference Meets Large Language Models to Revolutionize E‑commerce Pricing
JD Retail Technology
JD Retail Technology
Jul 18, 2025 · Artificial Intelligence

How Cutting-Edge AI Models Are Revolutionizing E‑Commerce CTR Prediction

This article showcases five JD Retail Technology research papers accepted at SIGIR 2025, covering graph‑based cohort modeling, causal optimal transport post‑event modeling, an autonomous domain‑oriented relevance engine, a multi‑objective bidword generation model, and hierarchical long‑term user behavior modeling, all advancing e‑commerce CTR prediction and advertising.

CTR predictionMachine Learningcausal optimal transport
0 likes · 10 min read
How Cutting-Edge AI Models Are Revolutionizing E‑Commerce CTR Prediction