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Page 9 of 27
JD Retail Technology
JD Retail Technology
Dec 4, 2020 · Operations

JD.com 11.11 Shopping Festival: Technical Operations, Performance, and Cost Optimization Case Study

The article reviews JD.com’s 11.11 shopping festival technical preparation, detailing how the operations team handled record traffic spikes, improved user experience, increased resource efficiency, and reduced IT costs through high‑fidelity testing, dual‑active systems, and a four‑year Taishan project.

cost optimizatione-commerceoperations
0 likes · 8 min read
JD.com 11.11 Shopping Festival: Technical Operations, Performance, and Cost Optimization Case Study
JD Retail Technology
JD Retail Technology
Jul 15, 2020 · Artificial Intelligence

Category-Specific CNN for Visual-Aware Click‑Through Rate Prediction at JD.com

The paper introduces a Category‑Specific Convolutional Neural Network (CSCNN) that jointly leverages product category information and visual features of e‑commerce images to improve click‑through‑rate (CTR) prediction, detailing its architecture, training strategy, large‑scale experiments, and significant performance gains in JD.com’s advertising system.

CTR predictionDeep Learningadvertising
0 likes · 13 min read
Category-Specific CNN for Visual-Aware Click‑Through Rate Prediction at JD.com
JD Retail Technology
JD Retail Technology
Jan 8, 2020 · Operations

Comprehensive Guide to E‑commerce Promotion Traffic Management and System Preparation

This article explains how e‑commerce promotions differ from offline sales by offering lower participation thresholds and flexible discount tactics, outlines methods for estimating and handling traffic spikes, and provides detailed strategies for system capacity planning, load testing, monitoring, and incident response to ensure stable large‑scale promotional events.

Capacity PlanningLoad TestingPromotion
0 likes · 23 min read
Comprehensive Guide to E‑commerce Promotion Traffic Management and System Preparation
JD Retail Technology
JD Retail Technology
Nov 7, 2019 · Operations

7FRESH Technical Preparation for the 11.11 Shopping Festival: System Scaling, Degradation Strategies, Emergency Plans, Performance Testing, and Operational Monitoring

The article details how 7FRESH's R&D, testing, network operations, and product teams coordinated system capacity expansion, degradation mechanisms, emergency response procedures, extensive performance testing, and 24/7 monitoring to ensure stable and scalable service during the high‑traffic 11.11 shopping event.

Capacity PlanningPerformance Testingdegradation
0 likes · 10 min read
7FRESH Technical Preparation for the 11.11 Shopping Festival: System Scaling, Degradation Strategies, Emergency Plans, Performance Testing, and Operational Monitoring
JD Retail Technology
JD Retail Technology
Aug 22, 2019 · Product Management

Platform Product Growth Strategies: Insights from Douyin and JD

The article analyzes platform product growth by examining Douyin's user expansion tactics and JD's e‑commerce strategies, covering platform value, growth strategies, network effects, single‑ and double‑sided drives, local network effects, growth challenges, and corresponding solutions.

Network effectse-commerceplatform strategy
0 likes · 12 min read
Platform Product Growth Strategies: Insights from Douyin and JD
JD Retail Technology
JD Retail Technology
Jun 20, 2019 · Big Data

JD.com’s 618 Technical Architecture: Componentization, Data Platform, and Elastic Computing at Massive Scale

The article details JD.com’s 618 shopping festival engineering, describing how componentized micro‑services, a unified data platform, and the Archimedes elastic scheduling system enabled billions of requests, real‑time data processing and seamless online‑offline integration without adding new server resources.

Big DataData PlatformMicroservices
0 likes · 8 min read
JD.com’s 618 Technical Architecture: Componentization, Data Platform, and Elastic Computing at Massive Scale
JD Retail Technology
JD Retail Technology
Jun 18, 2019 · Big Data

JD Cup 2019: Big Data Predictive Modeling Competition Highlights and Outcomes

The 2019 JD Cup Tianjin Innovation and Entrepreneurship Challenge attracted 1,629 teams and 2,927 participants worldwide, featuring a high‑profile big‑data forecasting task on user purchases that received 3,917 submissions and showcased JD's data‑driven marketing solutions and AI‑powered predictive models.

Big DataMachine Learningcompetition
0 likes · 5 min read
JD Cup 2019: Big Data Predictive Modeling Competition Highlights and Outcomes
JD Retail Technology
JD Retail Technology
Jan 11, 2019 · Fundamentals

2019 Southeast Asian E‑Commerce Market Trends and Outlook

The 2019 analysis by JD Technology Management Center forecasts rapid growth in Southeast Asian e‑commerce, highlighting expanding mobile commerce share, stronger electronic payment adoption, improved logistics, multi‑channel integration, rising social media influence, accelerated platform technology innovation, a growing middle class and Gen‑Z consumer base, and supportive government policies.

Market TrendsMobile CommerceSoutheast Asia
0 likes · 7 min read
2019 Southeast Asian E‑Commerce Market Trends and Outlook
JD Retail Technology
JD Retail Technology
Nov 28, 2018 · Frontend Development

Applying Google AMP to Boost Mobile Site Performance in Overseas E‑commerce: A Case Study

This article examines the stark differences between domestic and overseas e‑commerce client preferences, highlights the unexpected popularity of mobile‑only sites abroad, and details how implementing Google AMP on a high‑traffic M‑site dramatically reduced bounce rates, improved first‑interactive times, and increased conversion rates.

AMPGoogleMobile Site
0 likes · 6 min read
Applying Google AMP to Boost Mobile Site Performance in Overseas E‑commerce: A Case Study
JD Retail Technology
JD Retail Technology
Sep 4, 2018 · R&D Management

JD Automotive Value-Added Service System: Integrated Product and Service Platform

The JD Automotive Value‑Added Service System integrates product purchase and offline installation services into a seamless “product + service” experience, featuring a merchant cooperation platform, an operations management backend, agile cross‑team development, and rapid market growth with thousands of merchants and millions of SKUs.

Operations ManagementPlatform Engineeringagile development
0 likes · 6 min read
JD Automotive Value-Added Service System: Integrated Product and Service Platform
JD Retail Technology
JD Retail Technology
Aug 6, 2018 · R&D Management

Key Skills and Perspectives of a Successful Project Manager in E‑Commerce

The article outlines the essential professional knowledge, multifaceted responsibilities, and flexible approaches a competent e‑commerce project manager must possess, emphasizing the integration of PMBOK fundamentals, technical and business expertise, and agile practices across diverse development projects.

PMBOKagilee-commerce
0 likes · 9 min read
Key Skills and Perspectives of a Successful Project Manager in E‑Commerce
JD Retail Technology
JD Retail Technology
Jul 25, 2018 · Artificial Intelligence

JD.com Infrastructure Team Wins SIGIR 2018 E‑commerce Product Categorization Competition

The JD.com Infrastructure team won the SIGIR 2018 e‑commerce competition by developing a multi‑level deep‑learning model that tackled severe class imbalance, vocabulary drift, and hierarchical labeling, boosting F1 from 0.74 to 0.84 and earning paper acceptance at the SIGIR conference.

Deep LearningJD.comSIGIR
0 likes · 5 min read
JD.com Infrastructure Team Wins SIGIR 2018 E‑commerce Product Categorization Competition
JD Retail Technology
JD Retail Technology
Jul 18, 2018 · Artificial Intelligence

JD's AI-Driven Image Automation and Knowledge Graph Applications in E-commerce

JD.com describes its AI-powered image automation pipeline—including intelligent cutout, layout learning, and batch synthesis—along with a large-scale product knowledge graph that enables applications such as the JIMI customer service robot and the Li Bai writing assistant for global e-commerce.

AICustomer Service RobotNatural Language Generation
0 likes · 7 min read
JD's AI-Driven Image Automation and Knowledge Graph Applications in E-commerce
JD Retail Technology
JD Retail Technology
Sep 18, 2017 · Product Management

Innovation in Product Management: Insights from JD POP Platform Senior Technical Product Manager Zhou Yinhua

In this interview, JD POP senior technical product manager Zhou Yinhua shares her experiences on driving innovation within product management, detailing the importance of innovative thinking, the challenges faced, the development of the POP merchant consulting platform, and how these practices have strengthened JD’s e‑commerce operations.

Consulting PlatformInnovationJD POP
0 likes · 9 min read
Innovation in Product Management: Insights from JD POP Platform Senior Technical Product Manager Zhou Yinhua
JD Retail Technology
JD Retail Technology
Jun 6, 2017 · Artificial Intelligence

JD.com's JData Algorithm Competition Concludes with Record-Breaking Participation

JD.com's JData Algorithm Competition concluded with record-breaking participation, awarding 600,000 yuan in prizes and offering special employment opportunities to top performers, while showcasing how AI and big data enhance e-commerce experiences.

AI ApplicationsBig DataJD.com
0 likes · 8 min read
JD.com's JData Algorithm Competition Concludes with Record-Breaking Participation
JD Retail Technology
JD Retail Technology
May 10, 2017 · Artificial Intelligence

JD Data Algorithm Competition: Solving Shopping Dilemmas with AI

The JD Data Algorithm Competition aims to help shoppers overcome decision paralysis by using advanced algorithms to match users with products they'll love, featuring diverse participants from students to professionals competing for prizes and potential real-world implementation.

Algorithm DevelopmentJD.comMachine Learning
0 likes · 3 min read
JD Data Algorithm Competition: Solving Shopping Dilemmas with AI
JD Tech Talk
JD Tech Talk
Mar 13, 2025 · Artificial Intelligence

CTR-Driven Advertising Image Generation with Multimodal Large Language Models

This paper proposes CAIG, a novel method for generating high-CTR advertising images using multimodal large language models, combining reinforcement learning and preference optimization to align generated content with product features.

CTR predictionadvertising image generatione-commerce
0 likes · 10 min read
CTR-Driven Advertising Image Generation with Multimodal Large Language Models