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Latest from JD Retail Technology

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JD Retail Technology

Dec 26, 2024 · Artificial Intelligence

Multi‑Objective Deep Reinforcement Learning Framework for E‑commerce Traffic Allocation (MODRL‑TA)

MODRL‑TA is a multi‑objective deep reinforcement learning framework that unites independent Q‑learning agents, a cross‑entropy‑based decision‑fusion module, and progressive data‑augmentation to overcome cold‑start and multi‑objective trade‑offs in e‑commerce traffic allocation, delivering up to 18% more impressions, 4% higher CTR and 5% higher CVR in live tests.

deep learninge-commercemulti-objective

0 likes · 14 min read

Multi‑Objective Deep Reinforcement Learning Framework for E‑commerce Traffic Allocation (MODRL‑TA)

JD Retail Technology

Dec 24, 2024 · Industry Insights

How JD Retail Automates AB Experiment Data Pipelines with Data Weaving

This article analyzes JD Retail's approach to automating AB experiment workflows by introducing a data‑weaving framework that unifies metric definitions, streamlines logical data modeling, and enables scalable, real‑time DAG orchestration across multiple experiment scenarios.

AB testingAutomationData weaving

0 likes · 21 min read

How JD Retail Automates AB Experiment Data Pipelines with Data Weaving

JD Retail Technology

Dec 19, 2024 · Big Data

JD.com Data Governance: Architecture, Key Technologies, and Future Directions

JD.com’s data‑governance framework combines a health‑score‑driven, automated platform that cross‑verifies audit logs, builds full‑link and operator‑level lineage, introduces standard fields, and optimizes resource mixing, task staggering, and cross‑datacenter scheduling, while targeting real‑time AI‑enhanced detection and full automation.

JD.comResource Optimizationaudit logs

0 likes · 15 min read

JD.com Data Governance: Architecture, Key Technologies, and Future Directions

JD Retail Technology

Dec 17, 2024 · Mobile Development

JDImage: JD’s Self‑Developed HarmonyOS Image Library – Architecture, Implementation, and Performance Optimizations

This article introduces JD’s self‑developed HarmonyOS image library, explaining the background, research on existing solutions, the decision to build a C++‑based cross‑platform library, its modular architecture, performance optimizations, quality assurance mechanisms, and future development plans.

C++HarmonyOSImage Loading

0 likes · 13 min read

JDImage: JD’s Self‑Developed HarmonyOS Image Library – Architecture, Implementation, and Performance Optimizations

JD Retail Technology

Dec 12, 2024 · Databases

Optimizing Query Performance for JD's BIP Procurement System with JED, JimKV, and Elasticsearch

This article presents a comprehensive case study of how JD's procurement system (BIP) tackled massive data volume and complex query challenges by redesigning data models, introducing heterogeneous storage for inbound orders, leveraging JED and JimKV, and offloading complex searches to Elasticsearch, resulting in dramatically reduced database load and improved user experience.

ElasticsearchJD supply chainJED

0 likes · 11 min read

Optimizing Query Performance for JD's BIP Procurement System with JED, JimKV, and Elasticsearch

JD Retail Technology

Dec 9, 2024 · Artificial Intelligence

Generative Retrieval for E‑commerce Search: Lexical‑Based and Semantic‑ID Approaches

This article presents a comprehensive study of generative retrieval in large‑scale e‑commerce search, detailing lexical‑based and SemanticID‑based methods, their challenges such as long‑tail distribution and token length, experimental evaluations, the discovered "sandglass" effect, and proposed solutions to improve recall and efficiency.

AIE-commerce SearchGenerative Retrieval

0 likes · 20 min read

Generative Retrieval for E‑commerce Search: Lexical‑Based and Semantic‑ID Approaches

JD Retail Technology

Dec 3, 2024 · Frontend Development

Designing a Cross‑Language Event System for Taro on HarmonyOS

This article explains how Taro leverages C++ and the HarmonyOS C‑API to build a high‑performance, multi‑language event system that bridges ArkTS, JavaScript and native components, detailing architecture considerations, implementation details, and future directions for improving cross‑language event handling.

C++Event SystemHarmonyOS

0 likes · 10 min read

Designing a Cross‑Language Event System for Taro on HarmonyOS

JD Retail Technology

Nov 29, 2024 · Fundamentals

Java Code Style Guidelines: Importance, Standards, and Tool Integration

This article explains why Java code style standards are essential for team collaboration, reviews major guidelines such as Google Java Style and Alibaba's p3c, and provides step‑by‑step instructions for configuring IntelliJ IDEA, Checkstyle, and Maven to enforce consistent, readable, and maintainable Java code.

IntelliJ IDEAJavabest practices

0 likes · 13 min read

Java Code Style Guidelines: Importance, Standards, and Tool Integration

JD Retail Technology

Nov 27, 2024 · Backend Development

Optimizing SpringBoot Application Startup Time: Diagnosis and Solutions

This article documents the diagnosis of slow SpringBoot startup in a large‑scale advertising platform and presents a series of optimizations—including actuator monitoring, Tomcat TLD scan disabling, HBase async warm‑up, custom BeanPostProcessor timing, asynchronous JSF consumer refer, Tomcat version tuning, and hardware migration—that together reduce launch time by about 60%.

BeanPostProcessorJavaPerformance

0 likes · 20 min read

Optimizing SpringBoot Application Startup Time: Diagnosis and Solutions

JD Retail Technology

Nov 19, 2024 · Big Data

Building an Intelligent Data Governance System with Active Metadata: JD Retail Experience

This article details JD Retail's experience building an intelligent data governance system using proactive metadata, covering challenges in data management, the design of a comprehensive governance framework, lifecycle evaluation models, and automated data backfill solutions to improve efficiency, cost control, and operational safety.

Data FabricLifecycle Managementactive metadata

0 likes · 20 min read

Building an Intelligent Data Governance System with Active Metadata: JD Retail Experience