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e-commerce

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500 articles
Page 23 of 25
DataFunTalk
DataFunTalk
Aug 19, 2020 · Artificial Intelligence

Fraudar: Graph-Based Fraud Detection in E‑commerce Transaction Networks

The article presents a comprehensive overview of e‑commerce fraud, especially brush‑order schemes, and introduces the Fraudar algorithm—a graph‑based unsupervised method that leverages bipartite network analysis, global suspiciousness metrics, priority‑tree optimization, and collaborative supervised training to efficiently identify dense fraudulent sub‑graphs.

Fraudarbipartite graphe‑commerce
0 likes · 15 min read
Fraudar: Graph-Based Fraud Detection in E‑commerce Transaction Networks
DataFunTalk
DataFunTalk
Jun 15, 2020 · Artificial Intelligence

Understanding and Handling Bad Cases in E-commerce Recommendation Systems

The article explores why bad cases occur in e‑commerce recommendation and search pipelines, classifies their types, demonstrates data‑driven analysis methods, and proposes practical online and offline strategies—including rule‑based fixes, model improvements, and iterative feedback loops—to continuously improve user experience and business metrics.

badcasedata analysise‑commerce
0 likes · 23 min read
Understanding and Handling Bad Cases in E-commerce Recommendation Systems
DataFunTalk
DataFunTalk
Jun 3, 2020 · Artificial Intelligence

Semantic Retrieval and Product Ranking in JD E‑commerce Search

This article presents JD's e‑commerce search system, detailing the semantic vector retrieval and product ranking pipelines, the two‑tower deep learning architecture, attention‑based personalization, negative sampling strategies, training optimizations, and real‑world performance gains achieved in production.

Personalizationdeep learninge‑commerce
0 likes · 11 min read
Semantic Retrieval and Product Ranking in JD E‑commerce Search
DataFunTalk
DataFunTalk
Aug 23, 2019 · Artificial Intelligence

Club Factory Recommendation System: Overview, Challenges, Architecture, and Ranking Strategies

This article presents a comprehensive overview of Club Factory's recommendation system, covering its product recommendations, key challenges such as user and item cold‑start, the modular architecture, detailed recall and ranking processes, and practical considerations for deployment in e‑commerce.

aiarchitecturee‑commerce
0 likes · 3 min read
Club Factory Recommendation System: Overview, Challenges, Architecture, and Ranking Strategies
DataFunTalk
DataFunTalk
Aug 14, 2019 · Artificial Intelligence

Understanding Recommendation Systems: From Information Overload to Personalized AI Solutions

The article explores how the rapid growth of the internet has created information overload, discusses the challenges of recommendation systems such as sparsity and timeliness, outlines a four‑step personalized content pipeline, and highlights the interdisciplinary nature of building effective AI‑driven recommendation solutions.

Personalizationaibig data
0 likes · 16 min read
Understanding Recommendation Systems: From Information Overload to Personalized AI Solutions
DataFunTalk
DataFunTalk
Jul 25, 2019 · Artificial Intelligence

Understanding Recommendation Ranking: Definition, Decomposition, and Modeling

This article introduces recommendation ranking, breaks down its components, explains how to build ranking models, and provides additional insights, while also presenting the author's background and related job opportunities in the e‑commerce recommendation field.

aie‑commercemachine learning
0 likes · 3 min read
Understanding Recommendation Ranking: Definition, Decomposition, and Modeling
DataFunTalk
DataFunTalk
Jul 11, 2019 · Artificial Intelligence

Alibaba Retail's Intelligent Recommendation System: Business Background, Architecture, Matching and Ranking Models

This article presents a comprehensive overview of Alibaba Retail's B2B2C intelligent recommendation platform, detailing its business context, three core recommendation scenarios, system architecture, matching algorithms such as item‑CF, graph embedding and user‑CF, as well as the evolution of ranking models and feature engineering practices.

AlibabaB2B2CPersonalization
0 likes · 17 min read
Alibaba Retail's Intelligent Recommendation System: Business Background, Architecture, Matching and Ranking Models
DataFunTalk
DataFunTalk
Jun 13, 2019 · Artificial Intelligence

What Makes a Good Recommendation System?

This article explores the multifaceted criteria for evaluating a good recommendation system, covering macro and micro perspectives, product domain considerations, information retrieval, algorithmic accuracy, user experience, and business impact, and outlines a systematic iteration process for continuous improvement.

AlgorithmRecommendation SystemUser Experience
0 likes · 13 min read
What Makes a Good Recommendation System?
DataFunTalk
DataFunTalk
Jun 13, 2018 · Artificial Intelligence

Evolution of E‑commerce Platform Recommendation System Architecture

This article reviews the evolution of recommendation system architecture for C2C e‑commerce platforms, tracing stages from simple offline‑online pipelines through granular feed‑flow improvements, real‑time processing, and machine‑learning‑driven models, while highlighting user‑profile construction, challenges, and best‑practice guidelines.

architecturee‑commercemachine learning
0 likes · 10 min read
Evolution of E‑commerce Platform Recommendation System Architecture
Architect's Guide
Architect's Guide
Nov 29, 2022 · Fundamentals

Understanding the End-to-End Architecture of Chinese Internet Payments

This article provides a comprehensive overview of the end‑to‑end Chinese internet payment architecture, illustrating the flow from e‑commerce platforms through checkout, third‑party payment channels, banking networks, clearing and settlement, and detailing the roles of components such as the cashier, transaction core, membership, payment, accounting and clearing systems.

Chinae‑commercefinancial technology
0 likes · 10 min read
Understanding the End-to-End Architecture of Chinese Internet Payments
High Availability Architecture
High Availability Architecture
Nov 30, 2018 · Mobile Development

Interview with MobSDK Project Director Yu Xunjie on Mobile SDK Architecture and Product Management

In this interview, MobSDK director Yu Xunjie discusses the platform's comprehensive SDK matrix, automatic integration, 24/7 developer support, product management practices, e‑commerce solutions, short‑video capabilities, and the team's collaborative culture, offering valuable insights for mobile developers.

AndroidApp FactoryDeveloper Support
0 likes · 11 min read
Interview with MobSDK Project Director Yu Xunjie on Mobile SDK Architecture and Product Management
High Availability Architecture
High Availability Architecture
Aug 11, 2016 · Backend Development

Mogujie E‑Commerce Transaction Platform Architecture and Service Refactoring

The article details how Mogujie's e‑commerce transaction system evolved from a monolithic PHP application to a service‑oriented architecture through DB vertical sharding, service decomposition, custom sharding component TSharding, and performance optimizations such as asynchronous processing, caching, and distributed transaction handling to support rapid growth and high‑availability requirements.

Distributed TransactionsPerformance OptimizationSharding
0 likes · 15 min read
Mogujie E‑Commerce Transaction Platform Architecture and Service Refactoring
Nightwalker Tech
Nightwalker Tech
Nov 18, 2022 · Backend Development

Design and Implementation of an E‑commerce Search Engine Using Go and Elasticsearch

This article presents a comprehensive engineering guide for building a high‑performance e‑commerce search engine with Go (Kratos), Elasticsearch/OpenSearch, Redis, MySQL, and Kafka, covering architecture, index construction, query processing, ranking, user‑guidance features, and future extensions such as recommendation and visual search.

Elasticsearchbackende‑commerce
0 likes · 19 min read
Design and Implementation of an E‑commerce Search Engine Using Go and Elasticsearch
Nightwalker Tech
Nightwalker Tech
Nov 9, 2016 · Operations

Best Practices for Service Monitoring and Alerting in E‑commerce Systems

The discussion outlines essential service‑monitoring techniques—including health checks, JVM metrics, traffic and payment ring‑ratio analysis, client‑side exception tracking, third‑party CDN monitoring, alert thresholds, instrumentation via AOP or SDKs, and tooling such as Datadog, Zabbix, and the Elastic stack—to reliably detect and respond to incidents in e‑commerce environments.

Alertinge‑commerceincident response
0 likes · 10 min read
Best Practices for Service Monitoring and Alerting in E‑commerce Systems
IT Services Circle
IT Services Circle
Aug 28, 2022 · Backend Development

How to Prevent Duplicate Payments in E‑commerce Orders

This article explains the complete e‑commerce payment workflow, identifies the causes of duplicate payments such as missing deduplication, order loss and multi‑channel issues, and presents practical backend solutions including distributed locking, result caching, payment‑flow cancellation, active polling, and sync‑async notification strategies to ensure order consistency and improve payment success rates.

backenddistributed lockduplicate payment
0 likes · 13 min read
How to Prevent Duplicate Payments in E‑commerce Orders
Java Captain
Java Captain
Dec 5, 2020 · Backend Development

Overview of a Spring Cloud‑Based Online Supermarket System

This article introduces a Spring Cloud‑powered Java online supermarket project, detailing its microservice architecture, core functionalities such as user, product, cart, image services, Zuul gateway, and package structure, while providing source code and tutorial links for developers.

Spring Cloudbackende‑commerce
0 likes · 3 min read
Overview of a Spring Cloud‑Based Online Supermarket System
Java Captain
Java Captain
May 22, 2019 · Backend Development

13 High-Quality Open-Source Spring Boot Projects for Java Developers

This article curates thirteen notable open‑source Spring Boot projects—including e‑commerce platforms, micro‑service scaffolds, payment solutions, and ERP systems—providing brief overviews, star counts, repository links, and demo screenshots to help Java developers discover useful resources for learning and building applications.

ERPSpring Bootbackend
0 likes · 11 min read
13 High-Quality Open-Source Spring Boot Projects for Java Developers
php中文网 Courses
php中文网 Courses
May 23, 2024 · Backend Development

Why Node.js Outperforms Traditional PHP for Large-Scale E-commerce Platforms

Traditional PHP architectures suffer from single‑threaded request handling that slows page loads on high‑traffic e‑commerce sites, whereas Node.js’s asynchronous, non‑blocking I/O and event‑driven architecture provide faster loading, superior scalability, and real‑time capabilities, making it a better fit for platforms like Amazon.

Node.jsasynchronousbackend
0 likes · 5 min read
Why Node.js Outperforms Traditional PHP for Large-Scale E-commerce Platforms
php中文网 Courses
php中文网 Courses
Jan 27, 2024 · Backend Development

Implementing Member Level Points Redemption in a PHP E‑Commerce Site

This tutorial explains how to create a MySQL members table, configure a PHP database connection, and build backend scripts and a web form that allow e‑commerce users to exchange points for membership level upgrades, complete with full code examples.

MySQLPoints Redemptione‑commerce
0 likes · 5 min read
Implementing Member Level Points Redemption in a PHP E‑Commerce Site