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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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Latest from JD Retail Technology

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JD Retail Technology
JD Retail Technology
Nov 14, 2024 · Artificial Intelligence

Improving Advertisement Image Generation with a Multimodal Reliable Feedback Network (ECCV 2024)

The paper introduces a Multimodal Reliable Feedback Network (RFNet) and a consistency‑condition regularization technique that together boost the usable rate of automatically generated advertisement images while preserving visual quality, supported by a new million‑image annotated dataset and extensive ECCV‑2024 experiments.

AIDiffusion ModelsECCV2024
0 likes · 8 min read
Improving Advertisement Image Generation with a Multimodal Reliable Feedback Network (ECCV 2024)
JD Retail Technology
JD Retail Technology
Nov 13, 2024 · R&D Management

Guidelines for New Project Managers: Initiation, Planning, Execution, and Monitoring

This article shares practical advice for novice project managers, covering the four process groups—initiation, planning, execution, and monitoring—through real‑world examples, stakeholder identification, risk handling, change control, and communication techniques to help them deliver value and grow their teams.

MonitoringPlanningStakeholder Management
0 likes · 25 min read
Guidelines for New Project Managers: Initiation, Planning, Execution, and Monitoring
JD Retail Technology
JD Retail Technology
Nov 6, 2024 · Artificial Intelligence

Explainability Practices in JD Retail Recommendation System

This article describes the definition, architecture, and practical applications of explainability in JD's retail recommendation system, covering ranking, model, and traffic explainability, system challenges, data infrastructure, and specific techniques such as SHAP and Integrated Gradients for interpreting model decisions.

AIExplainabilityModel Interpretability
0 likes · 17 min read
Explainability Practices in JD Retail Recommendation System
JD Retail Technology
JD Retail Technology
Nov 5, 2024 · Backend Development

Ensuring Inventory Consistency Under Concurrent Operations: Locking Pitfalls and Solutions

The article examines how frequent inventory adjustments in JD retail supply‑chain can suffer from concurrency issues, explains why traditional locking may fail, analyzes a real‑world case of lock misuse, and presents code‑level, database‑level, and architectural solutions to guarantee data consistency.

ConsistencyDistributed Lockconcurrency
0 likes · 7 min read
Ensuring Inventory Consistency Under Concurrent Operations: Locking Pitfalls and Solutions
JD Retail Technology
JD Retail Technology
Oct 31, 2024 · Big Data

JDQ Kafka Bandwidth Throttling Architecture and Optimization

This article presents an in‑depth analysis of Kafka's native throttling mechanisms, identifies their limitations in large‑scale e‑commerce scenarios, and introduces JDQ's multi‑dimensional, dynamic throttling architecture that ensures stable throughput and priority‑aware bandwidth management across broker failures and traffic spikes.

JDQKafkaReal-time Streaming
0 likes · 17 min read
JDQ Kafka Bandwidth Throttling Architecture and Optimization
JD Retail Technology
JD Retail Technology
Oct 29, 2024 · Big Data

JD Unified Storage Practice: Cross‑Region and Tiered Storage on HDFS

This article details JD's large‑scale HDFS unified storage implementation, covering cross‑region storage challenges, topology design, asynchronous block replication, flow‑control mechanisms, tiered storage strategies, automatic hot‑cold data migration, and the resulting performance and cost improvements for big‑data workloads.

Cross-Region StorageData ManagementTiered Storage
0 likes · 20 min read
JD Unified Storage Practice: Cross‑Region and Tiered Storage on HDFS
JD Retail Technology
JD Retail Technology
Oct 24, 2024 · Interview Experience

From Hello World to AI‑Powered Unit Tests: JD Retail Engineers Share Their Journeys

Eight JD Retail engineers recount their career paths, technical challenges, and personal philosophies, covering topics such as data‑flow tooling, large‑scale architecture refactoring, product‑centric design, AI‑driven unit‑test generation, and the enduring passion that drives their work in software development.

AI testingJD Retailcareer interview
0 likes · 13 min read
From Hello World to AI‑Powered Unit Tests: JD Retail Engineers Share Their Journeys
JD Retail Technology
JD Retail Technology
Oct 22, 2024 · Frontend Development

How Taro Enables React Code to Run on HarmonyOS ArkUI: Architecture and Implementation Details

This article explains how the Taro framework adapts React applications to run efficiently on HarmonyOS by converting React components into Taro virtual nodes, then into ArkUI nodes through a three‑step rendering pipeline, detailing runtime principles, hostConfig methods, and C++ implementation examples.

ArkUICross‑platformHarmonyOS
0 likes · 9 min read
How Taro Enables React Code to Run on HarmonyOS ArkUI: Architecture and Implementation Details
JD Retail Technology
JD Retail Technology
Oct 15, 2024 · Artificial Intelligence

Large‑Model‑Driven Evolution of E‑commerce Search and Recommendation at JD Retail

The article examines how large language models are reshaping JD Retail's e‑commerce search and recommendation pipelines, detailing industry evolution, technical challenges such as knowledge hallucination, intent understanding, personalization, cost, and safety, and presenting JD's end‑to‑end AIGC architecture, data preprocessing, alignment, evaluation, and next‑generation AI search solutions.

AIKnowledge Graphe-commerce
0 likes · 36 min read
Large‑Model‑Driven Evolution of E‑commerce Search and Recommendation at JD Retail