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822 articles · Page 7 of 9
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.

AIbig datadata engineering
0 likes · 16 min read
Understanding Recommendation Systems: From Information Overload to Personalized AI Solutions
macrozheng
macrozheng
Aug 9, 2019 · Databases

Mastering Coupon System Design: Database Schemas and UI Integration

This article provides a comprehensive walkthrough of the coupon feature's database tables—including definitions for coupons, coupon history, product relations, and category relations—along with screenshots of both admin and mobile interfaces that illustrate how these tables are used in an e‑commerce system.

SQLcoupondatabase-schema
0 likes · 6 min read
Mastering Coupon System Design: Database Schemas and UI Integration
DataFunTalk
DataFunTalk
Aug 8, 2019 · Artificial Intelligence

Practical Experience of JD E‑commerce Recommendation System: Architecture, Ranking, Real‑time Updates, and Experiment Platform

This article shares JD's e‑commerce recommendation system practice, covering the overall online/offline architecture, recall and ranking modules, real‑time feature and model updates, multi‑objective and diversity strategies, first‑stage index‑based ranking, KNN recall, and a layered experiment platform for rapid iteration.

e-commercelearning to rankmachine learning
0 likes · 14 min read
Practical Experience of JD E‑commerce Recommendation System: Architecture, Ranking, Real‑time Updates, and Experiment Platform
21CTO
21CTO
Jul 31, 2019 · Artificial Intelligence

How JD Built a Scalable AI‑Powered Recommendation System

The article outlines JD’s evolution from rule‑based product suggestions in 2012 to a sophisticated, AI‑driven, multi‑screen personalized recommendation platform, detailing its product types, system architecture, data collection, offline and online computation, and the core recommendation engine that powers features like “Guess You Like.”

AIJD.combig data
0 likes · 14 min read
How JD Built a Scalable AI‑Powered Recommendation System
Architecture Digest
Architecture Digest
Jul 30, 2019 · Artificial Intelligence

Evolution and Architecture of JD.com’s Personalized Recommendation System

The article details JD.com’s journey from rule‑based product recommendations in 2012 to a sophisticated, AI‑driven personalized recommendation system, describing its multi‑screen product types, data collection, offline and online computation pipelines, and the modular architecture of its recommendation engine.

JD.comSystem Architecturee-commerce
0 likes · 12 min read
Evolution and Architecture of JD.com’s Personalized Recommendation System
JD Retail Technology
JD Retail Technology
Jul 29, 2019 · Industry Insights

How JD.com Achieved One‑Code Global Deployment with a Lego‑Style Component Architecture

JD.com transformed its overseas e‑commerce expansion by adopting a component‑based, platform‑centric architecture that enabled the Thailand site to go live two weeks early, cutting development cycles from a month to a week and delivering a unified, scalable global codebase.

Component ArchitecturePlatform Engineeringagile development
0 likes · 8 min read
How JD.com Achieved One‑Code Global Deployment with a Lego‑Style Component Architecture
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
macrozheng
macrozheng
Jul 25, 2019 · Databases

Mastering Order Return Database Design: Schemas, Statuses, and UI Flow

This article provides a comprehensive walkthrough of the order return and return‑reason database tables, detailing each field, status codes, and the corresponding admin and mobile UI screens that illustrate how the return process works in an e‑commerce system.

SQLdatabase-schemae-commerce
0 likes · 7 min read
Mastering Order Return Database Design: Schemas, Statuses, and UI Flow
macrozheng
macrozheng
Jul 23, 2019 · Backend Development

Mastering E‑Commerce Cart & Order Flow: Database Schema and Process Walkthrough

This article dissects the e‑commerce shopping cart database schema, explains the end‑to‑end order lifecycle—from adding items and calculating promotions to generating confirmation orders, creating orders, and handling cancellations—while highlighting key implementation details and code references for backend developers.

Shopping Cartdatabase-schemae-commerce
0 likes · 7 min read
Mastering E‑Commerce Cart & Order Flow: Database Schema and Process Walkthrough
DataFunTalk
DataFunTalk
Jul 19, 2019 · Artificial Intelligence

From the Pre‑Recommendation Era to the Bronze Age: Evolution of Recommendation Systems and Mitigating the Matthew Effect

The article traces the historical development of recommendation systems from early manual and hot‑ranking methods through natural ranking and machine‑learning‑based scoring, discusses the Matthew effect and its mitigation via randomization, multi‑objective weighting, and pipeline architectures, and outlines modern personalization and recall strategies for e‑commerce platforms.

Algorithmsdatae-commerce
0 likes · 25 min read
From the Pre‑Recommendation Era to the Bronze Age: Evolution of Recommendation Systems and Mitigating the Matthew Effect
Mafengwo Technology
Mafengwo Technology
Jul 11, 2019 · Backend Development

How DDD Transformed Our E‑Commerce Discount Center: A Practical Refactor

This article details how applying Domain‑Driven Design to a complex e‑commerce discount system clarified business logic, improved flexibility, and guided a step‑by‑step architectural overhaul from a monolithic model to a layered, domain‑centric solution with tactical and strategic design considerations.

Backend RefactoringDDDDomain-Driven Design
0 likes · 17 min read
How DDD Transformed Our E‑Commerce Discount Center: A Practical Refactor
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.

AlibabaB2B2Ce-commerce
0 likes · 17 min read
Alibaba Retail's Intelligent Recommendation System: Business Background, Architecture, Matching and Ranking Models
macrozheng
macrozheng
Jul 8, 2019 · Databases

Exploring Mall E‑Commerce System: Database Schemas and Functional Overview

This article introduces the Mall e‑commerce platform’s core backend modules—product, order, marketing, content, and user management—detailing each module’s database table structures and functional designs, and provides links to design files, mind maps, and related deployment resources.

e-commercemall systemproduct management
0 likes · 6 min read
Exploring Mall E‑Commerce System: Database Schemas and Functional Overview
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 8, 2019 · Artificial Intelligence

How RAGE Accelerates Accurate Answer Generation for E‑Commerce Q&A

This article introduces the RAGE model, a multi‑layer gated convolutional neural network that leverages review extraction, representation, and fusion to dramatically improve response speed and answer quality for product‑related questions in e‑commerce platforms, outperforming existing seq2seq and attention‑based approaches.

RAGE modelanswer generationconvolutional neural network
0 likes · 18 min read
How RAGE Accelerates Accurate Answer Generation for E‑Commerce Q&A
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 2, 2019 · Artificial Intelligence

How RAGE Boosts E‑Commerce QA with Fast, Accurate Answer Generation

This article presents the RAGE model, a review‑driven answer generation system for e‑commerce that leverages multi‑layer gated convolutional networks, word‑mover's distance comment extraction, and hierarchical attention to dramatically improve response speed, answer relevance, and overall generation quality.

RAGEanswer generationconvolutional neural network
0 likes · 17 min read
How RAGE Boosts E‑Commerce QA with Fast, Accurate Answer Generation
MaGe Linux Operations
MaGe Linux Operations
Jul 1, 2019 · Backend Development

Designing a Scalable E‑Commerce System with Microservices, DDD, and Distributed Transactions

This article walks through building an e‑commerce platform using microservices, covering module decomposition, domain‑driven design, service splitting, technology stack choices, distributed transaction strategies, circuit‑breaker patterns, centralized configuration, monitoring, and capacity planning to guide developers from concept to deployment.

CAP theoremDDDHystrix
0 likes · 27 min read
Designing a Scalable E‑Commerce System with Microservices, DDD, and Distributed Transactions
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.

ComponentizationMicroservicesdata platform
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.

Competitione-commercemarketing
0 likes · 5 min read
JD Cup 2019: Big Data Predictive Modeling Competition Highlights and Outcomes
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.

AIalgorithme-commerce
0 likes · 13 min read
What Makes a Good Recommendation System?
JD Retail Technology
JD Retail Technology
Jun 10, 2019 · Industry Insights

How JD.com’s Middle Platform Accelerates 618 Promo Preparation

JD.com’s R&D team transformed its 618 and 11.11 promotion preparation from a six‑month sprint to a one‑to‑two‑month process by building a unified middle platform that combines component‑based technology and data services, enabling rapid, scalable, and cost‑effective retail operations across multiple scenarios.

ComponentizationJD.comTech Strategy
0 likes · 9 min read
How JD.com’s Middle Platform Accelerates 618 Promo Preparation
Xianyu Technology
Xianyu Technology
Jun 4, 2019 · Industry Insights

How Alibaba’s Tech Powers the Future of New Retail

Alibaba’s Vice President outlines the massive commercial challenges facing e‑commerce, explains how advanced technologies such as AI, AR, 3D and the Mobile Neural Network framework are becoming the engine of business growth, and shares the company’s strategic vision for a platform‑centric, data‑driven new retail ecosystem.

AIe-commerceindustry insights
0 likes · 8 min read
How Alibaba’s Tech Powers the Future of New Retail
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.

BackendERPMicroservices
0 likes · 11 min read
13 High-Quality Open-Source Spring Boot Projects for Java Developers
DataFunTalk
DataFunTalk
May 20, 2019 · Artificial Intelligence

Evolution of Alibaba's Advertising CTR Prediction Models: From Linear Methods to Deep Interest Evolution Networks

The article reviews the characteristics of e‑commerce personalized prediction, outlines Alibaba's model iteration from large‑scale linear regression to deep learning architectures such as DIN, CrossMedia, and Deep Interest Evolution, and discusses future directions like disentangled representation and white‑box modeling.

Attention MechanismCTR predictione-commerce
0 likes · 11 min read
Evolution of Alibaba's Advertising CTR Prediction Models: From Linear Methods to Deep Interest Evolution Networks
Java Backend Technology
Java Backend Technology
May 19, 2019 · Backend Development

13 Must-Explore Open-Source Spring Boot Projects for Java Developers

A curated list of 13 high‑quality Spring Boot open‑source projects—including e‑commerce platforms, microservice frameworks, payment systems, and ERP solutions—each with brief descriptions, key features, and demo links to help Java developers find valuable codebases for learning and real‑world use.

Backend DevelopmentSpring Boote-commerce
0 likes · 11 min read
13 Must-Explore Open-Source Spring Boot Projects for Java Developers
macrozheng
macrozheng
May 4, 2019 · Backend Development

Explore the Full‑Featured Mall E‑Commerce System Built with Spring Boot & MyBatis

The Mall project is a comprehensive e‑commerce solution featuring a front‑end storefront and back‑office management, implemented with Spring Boot, MyBatis, and a suite of modern technologies such as Redis, Elasticsearch, RabbitMQ, Docker, and more, offering modules for products, orders, marketing, and analytics.

DockerElasticsearchRedis
0 likes · 4 min read
Explore the Full‑Featured Mall E‑Commerce System Built with Spring Boot & MyBatis
DataFunTalk
DataFunTalk
Apr 22, 2019 · Artificial Intelligence

Understanding Personalized Recommendation: From Machine Learning Basics to E‑commerce Applications

This article explains how personalized recommendation systems work in e‑commerce platforms like Taobao, covering the fundamentals of machine learning, feature engineering, model building, evaluation, and the business motivations behind delivering unique, user‑specific product suggestions.

AIPersonalized RecommendationUser Modeling
0 likes · 22 min read
Understanding Personalized Recommendation: From Machine Learning Basics to E‑commerce Applications
DataFunTalk
DataFunTalk
Apr 19, 2019 · Artificial Intelligence

E-commerce Search and User Guidance: Concepts, Techniques, and Product Design

This article examines the role of search as a user guidance channel in e-commerce, outlining product requirements, user flow stages, and various algorithmic solutions—including query understanding, suggestion, rewriting, retrieval, and ranking—while also comparing implementations across major Chinese platforms.

e-commercemachine learningquery understanding
0 likes · 29 min read
E-commerce Search and User Guidance: Concepts, Techniques, and Product Design
21CTO
21CTO
Apr 8, 2019 · Product Management

Can Facebook Transform into the West’s WeChat? A Deep Dive into Its Strategic Challenges

The article examines whether Facebook can reinvent its business model to emulate WeChat’s all‑in‑one digital ecosystem, outlining required shifts in messaging integration, in‑app commerce, and payment systems while highlighting cultural, regulatory, and competitive obstacles that make such a transformation exceedingly difficult.

FacebookProduct StrategyWeChat
0 likes · 8 min read
Can Facebook Transform into the West’s WeChat? A Deep Dive into Its Strategic Challenges
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 8, 2019 · Artificial Intelligence

How Alibaba Builds a Massive E‑Commerce Concept Graph to Power Search & Recommendation

This article explains how Alibaba’s Search & Recommendation team constructs a large‑scale e‑commerce concept graph—defining e‑commerce concepts, mining them from queries and titles, building an ontology, linking concepts to entities, and applying the graph to improve personalized search and recommendation.

Ontologyconcept mininge-commerce
0 likes · 19 min read
How Alibaba Builds a Massive E‑Commerce Concept Graph to Power Search & Recommendation
ITPUB
ITPUB
Apr 4, 2019 · Big Data

Achieving Sub‑Second Real‑Time Product Selection with Xianyu’s Mach and Blink

Xianyu’s Mach system tackles the e‑commerce challenge of instantly selecting high‑quality items from billions of products by leveraging Blink’s low‑latency stream computing, detailing its architecture—including state, windows, custom UDX functions, data merging, rule execution, and SQL‑to‑MVEL conversion—to achieve sub‑second processing at massive scale.

FlinkRule Engineblink
0 likes · 18 min read
Achieving Sub‑Second Real‑Time Product Selection with Xianyu’s Mach and Blink
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 20, 2019 · Artificial Intelligence

How Taobao’s Search & Recommendation Algorithms Evolved: From Rules to Cognitive AI

This article reviews the evolution of Taobao’s search and recommendation technology, tracing its journey from simple statistical models and rule‑based systems through large‑scale machine learning and real‑time online learning to modern deep‑learning and cognitive intelligence approaches that drive e‑commerce innovation.

Search Algorithmscognitive AIdeep learning
0 likes · 16 min read
How Taobao’s Search & Recommendation Algorithms Evolved: From Rules to Cognitive AI
Vipshop Quality Engineering
Vipshop Quality Engineering
Feb 22, 2019 · Artificial Intelligence

How Vipshop Built an AI‑Powered Sentiment Analysis System for Real‑Time Customer Feedback

Vipshop's in‑house sentiment monitoring platform integrates web‑scraped reviews, WeChat comments and internal service messages, applying lexical sentiment scoring, dictionary‑based Chinese word segmentation, TF‑IDF keyword ranking and lightweight classification to deliver real‑time insights, alerts and actionable reports for thousands of daily user comments.

NLPSentiment Analysisbig data
0 likes · 17 min read
How Vipshop Built an AI‑Powered Sentiment Analysis System for Real‑Time Customer Feedback
Alibaba Cloud Developer
Alibaba Cloud Developer
Feb 21, 2019 · Artificial Intelligence

How Alibaba Uses AI to Automatically Find High‑Quality Buyer Photos on Taobao

This article explains how Alibaba’s algorithm team tackles the massive challenge of extracting high‑quality buyer‑generated images from Taobao by combining statistical features, GBDT classification, deep CNN visual assessment, aesthetic scoring, and dirty‑data filters to improve content moderation efficiency.

AIUGCcontent moderation
0 likes · 12 min read
How Alibaba Uses AI to Automatically Find High‑Quality Buyer Photos on Taobao
Alibaba Cloud Developer
Alibaba Cloud Developer
Feb 19, 2019 · Artificial Intelligence

How Interactive Recommendation Boosts User Engagement: The “Wind Vane” Framework Explained

This article explores the design and implementation of an interactive recommendation system—dubbed “Wind Vane”—that enhances user experience by prompting keyword queries, leveraging search logs, meta‑path recall, and a custom Attention‑GRU ranking model, with detailed analysis of recall, sorting, display control, and real‑world performance during Alibaba’s 2018 Double‑11 event.

attention GRUe-commerceinteractive recommendation
0 likes · 20 min read
How Interactive Recommendation Boosts User Engagement: The “Wind Vane” Framework Explained
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Feb 17, 2019 · Backend Development

How VIPshop Evolved Its Business Model and System Architecture

This article analyzes VIPshop's transition from a simple outlet retailer to a multi‑brand flash‑sale platform, detailing its four‑stage architectural evolution, key design principles for e‑commerce operations, and the governance model that supports scalable, cloud‑native backend services.

business modele-commerce
0 likes · 11 min read
How VIPshop Evolved Its Business Model and System Architecture
网易UEDC
网易UEDC
Jan 28, 2019 · Product Management

How Scenario‑Based Design Transforms E‑Commerce: From User Needs to AR/VR Solutions

This article explores how a scenario‑driven approach reshapes e‑commerce by analyzing user demands, enriching the shopping experience with panoramic, AR, VR, and live‑streaming solutions, and detailing the design, prototyping, and productization processes that enable seamless, immersive, and one‑stop purchasing for modern consumers.

ARScenario DesignVR
0 likes · 13 min read
How Scenario‑Based Design Transforms E‑Commerce: From User Needs to AR/VR Solutions
Alibaba Cloud Developer
Alibaba Cloud Developer
Jan 22, 2019 · Artificial Intelligence

How Tmall’s “Most Concerned” Feature Uses AI to Match Reviews with Consumer Questions

The article explains how Tmall’s new “Most Concerned” module leverages NLP techniques, fastText embeddings, Bi‑LSTM classifiers, and a custom clustering algorithm to filter, group, and link consumer questions with relevant product reviews, improving the shopping experience across many product categories.

AIClusteringNLP
0 likes · 9 min read
How Tmall’s “Most Concerned” Feature Uses AI to Match Reviews with Consumer Questions
dbaplus Community
dbaplus Community
Jan 16, 2019 · Operations

How to Build an Effective Nginx Monitoring System for E‑Commerce

This article explains how to monitor Nginx in high‑traffic e‑commerce scenarios, covering essential metrics, latency, error and traffic monitoring, saturation analysis, and visualizing data with ELK and Grafana, plus real‑world case studies and practical configuration tips.

ELKNginxPerformance
0 likes · 11 min read
How to Build an Effective Nginx Monitoring System for E‑Commerce
Alibaba Cloud Developer
Alibaba Cloud Developer
Jan 16, 2019 · Artificial Intelligence

How Machine Learning Can Clean Up Low‑Quality E‑Commerce Product Materials

This article explains a machine‑learning‑driven system that automatically detects and classifies poor‑quality e‑commerce product materials—such as misleading titles, exaggerated benefits, and over‑promotion—to protect consumers, reduce platform risk, and improve conversion rates during major sales events.

AITF-IDFcontent moderation
0 likes · 13 min read
How Machine Learning Can Clean Up Low‑Quality E‑Commerce Product Materials
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.

Mobile CommerceSoutheast Asiaconsumer behavior
0 likes · 7 min read
2019 Southeast Asian E‑Commerce Market Trends and Outlook
JD Tech
JD Tech
Jan 3, 2019 · Operations

Comprehensive Monitoring Strategies for E‑commerce Platforms: Black‑Box and White‑Box Approaches

This article systematically explains how to enhance e‑commerce platform availability by implementing both black‑box monitoring to detect functional failures and white‑box monitoring to pinpoint root causes, detailing core order‑process metrics, common issues, mitigation strategies, and illustrative Grafana dashboards.

GrafanaOperationsSRE
0 likes · 9 min read
Comprehensive Monitoring Strategies for E‑commerce Platforms: Black‑Box and White‑Box Approaches
JD Retail Technology
JD Retail Technology
Dec 26, 2018 · Product Management

Overview of JD Overseas Product System: Multilingual, Multi‑Site Management and Cross‑Platform Integration

The article introduces JD's overseas product system, detailing its goals of global availability, multilingual editing and storage, multi‑site management, site‑specific sales status, and automated cross‑platform integration to reduce operational costs and support international e‑commerce expansion.

Multi‑Sitee-commercemultilingual
0 likes · 6 min read
Overview of JD Overseas Product System: Multilingual, Multi‑Site Management and Cross‑Platform Integration
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 26, 2018 · Artificial Intelligence

Can AI Generate Perfect Short Product Titles? A Multi-Source Pointer Network Approach

This article investigates the challenge of generating concise e‑commerce product short titles by formalizing it as a constrained text‑summarization task, proposes a Multi‑Source Pointer Network that leverages both title and background knowledge encoders, and demonstrates its superiority through extensive offline and online experiments.

Text Summarizatione-commerceextractive summarization
0 likes · 17 min read
Can AI Generate Perfect Short Product Titles? A Multi-Source Pointer Network Approach
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 5, 2018 · Artificial Intelligence

How AI Optimizes E‑Commerce ‘Bundle‑Buy’ with Graph Embedding & Knapsack

This article explains how Alibaba's search team leverages AI techniques such as graph embedding, scenario‑based recommendation, and a multiple‑choice knapsack model to intelligently select complementary items during the Double Eleven shopping festival, balancing price constraints, user experience, and conversion efficiency.

e-commercegraph embeddingknapsack optimization
0 likes · 15 min read
How AI Optimizes E‑Commerce ‘Bundle‑Buy’ with Graph Embedding & Knapsack
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 30, 2018 · Artificial Intelligence

How Multi‑Source Pointer Networks Transform E‑Commerce Product Title Generation

This article presents a multi‑source pointer network approach for generating concise, brand‑preserving product short titles in e‑commerce, detailing problem formalization, model architecture, extensive offline and online experiments, and demonstrating significant improvements over traditional truncation and seq2seq baselines.

Text Summarizationdeep learninge-commerce
0 likes · 16 min read
How Multi‑Source Pointer Networks Transform E‑Commerce Product Title Generation
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 20, 2018 · Artificial Intelligence

How Reinforcement Learning Powers Interactive Search in E‑Commerce

This article explains how reinforcement learning can be modeled and deployed to enable intelligent, interactive product search on e‑commerce platforms, detailing problem definition, system architecture, training methodology, online results, and future research directions.

deep learningdialogue systeme-commerce
0 likes · 17 min read
How Reinforcement Learning Powers Interactive Search in E‑Commerce
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 16, 2018 · Artificial Intelligence

How Alibaba’s Search Engine Evolved Over a Decade of Double‑11: From Offline Models to Real‑Time AI

This article traces the ten‑year evolution of Alibaba’s e‑commerce search system, detailing four major stages—from the early Pora streaming engine to dual‑link real‑time architectures, the integration of deep and reinforcement learning, and the shift to large‑scale online deep learning—while highlighting the technical drivers and future AI‑enabled search vision.

e-commercemachine learningonline learning
0 likes · 16 min read
How Alibaba’s Search Engine Evolved Over a Decade of Double‑11: From Offline Models to Real‑Time AI
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Nov 11, 2018 · Operations

A Decade of Double 11: Technical Evolution and Operational Lessons from Alibaba

Over ten years of Alibaba's Double 11, the company transformed a modest marketing event into a global e‑commerce platform by continuously improving backend architecture, scaling strategies, full‑link stress testing, multi‑active data centers, cloud migration, and real‑time incident response, offering valuable operational insights.

AlibabaBackendOperations
0 likes · 15 min read
A Decade of Double 11: Technical Evolution and Operational Lessons from Alibaba
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 6, 2018 · Operations

How Alibaba Scaled Double 11: Lessons from a Decade of E‑commerce Mega‑Events

From its humble 2009 launch to the 2018 tenth anniversary, Alibaba’s Double 11 shopping festival evolved through relentless technical challenges—system crashes, CDN bottlenecks, over‑selling bugs, and massive load‑testing innovations—offering a decade‑long case study in operations, scalability, and resilience for large‑scale e‑commerce platforms.

Load TestingOperationse-commerce
0 likes · 16 min read
How Alibaba Scaled Double 11: Lessons from a Decade of E‑commerce Mega‑Events
Youku Technology
Youku Technology
Nov 5, 2018 · Artificial Intelligence

Intelligent Interactive Practices for Multimedia Live Streaming: Insights from Taobao Live

The talk outlines Taobao Live’s rapid growth and three‑layer interactive architecture—dynamic AI‑driven marketing tools, human‑computer interaction features such as facial and gesture recognition, and intelligent operations that score fan intimacy—to deliver low‑latency, AI‑enhanced streaming with innovations like virtual backgrounds, product recognition, and an automated live‑assistant.

Edge AIe-commerceinteractive AI
0 likes · 9 min read
Intelligent Interactive Practices for Multimedia Live Streaming: Insights from Taobao Live
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 5, 2018 · Operations

How Alibaba Conquered Double 11: A Decade of Scaling, Crises, and Lessons

From the humble 2009 launch of Double 11 to the massive, cloud-native, multi-region architecture of 2018, Alibaba’s engineers chronicle yearly technical hurdles—traffic spikes, system crashes, CDN limits, over-selling, and the evolution of stress-testing, capacity planning, and operational safeguards that turned the shopping festival into a global engineering showcase.

Cloud ComputingOperationse-commerce
0 likes · 17 min read
How Alibaba Conquered Double 11: A Decade of Scaling, Crises, and Lessons
Zhongtong Tech
Zhongtong Tech
Nov 2, 2018 · Backend Development

How to Build a High‑Availability, Scalable E‑Commerce Backend for Mega Sales

This article explains the architectural challenges of large‑scale e‑commerce platforms during massive promotional events and provides a detailed, layer‑by‑layer guide to designing a highly available, horizontally scalable, stateless micro‑service backend with robust data handling, caching, messaging, and traffic‑management strategies.

Backend DevelopmentHigh AvailabilityTraffic Management
0 likes · 10 min read
How to Build a High‑Availability, Scalable E‑Commerce Backend for Mega Sales
DataFunTalk
DataFunTalk
Oct 12, 2018 · Artificial Intelligence

Market Mechanisms and Control Measures in Ele.me Food Delivery Recommendation Algorithms

The article presents a comprehensive overview of Ele.me's food‑delivery recommendation system, detailing its business model, platform goals, unique challenges, market‑driven efficiency mechanisms, control strategies, system architecture, model evolution, and online‑learning techniques used to balance short‑term performance with long‑term ecosystem health.

AIEle.mee-commerce
0 likes · 15 min read
Market Mechanisms and Control Measures in Ele.me Food Delivery Recommendation Algorithms
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 30, 2018 · Artificial Intelligence

How Alibaba’s Search & Recommendation Evolved: From Rules to Cognitive AI

This article reviews the evolution of Alibaba’s e‑commerce search and recommendation technologies, detailing Taobao’s unique challenges, the shift from rule‑based retrieval to large‑scale machine learning, real‑time online learning, deep learning and intelligent decision‑making, and outlines future directions toward cognitive intelligence.

cognitive AIdeep learninge-commerce
0 likes · 16 min read
How Alibaba’s Search & Recommendation Evolved: From Rules to Cognitive AI
网易UEDC
网易UEDC
Sep 25, 2018 · Product Management

Unlock the 4S Shopping Behavior Model and Boost E‑commerce Promotions

This article introduces the 4S user shopping search behavior model—combining awareness level and search scope—to classify shoppers into Surface, Stumble, Seek, and Sift, and then details targeted promotion tactics for each segment, including personalized coupons, impulse‑driven offers, search‑page incentives, and decision‑support discounts.

4S modele-commercemarketing research
0 likes · 14 min read
Unlock the 4S Shopping Behavior Model and Boost E‑commerce Promotions
21CTO
21CTO
Sep 24, 2018 · Artificial Intelligence

Why Recommendation Algorithms Aren’t Magic: A Practical Guide

This article explains the fundamentals of recommendation algorithms, illustrates their modest impact with real‑world examples, and outlines how modern e‑commerce systems collect data, rank items, and use rapid A/B testing to continuously improve personalized recommendations.

A/B testingalgorithm designe-commerce
0 likes · 10 min read
Why Recommendation Algorithms Aren’t Magic: A Practical Guide
DataFunTalk
DataFunTalk
Sep 21, 2018 · Artificial Intelligence

Construction of a Second‑Hand E‑commerce Knowledge Graph and Its Application in Pricing Models

This article explains how a knowledge graph for second‑hand e‑commerce is built—from data extraction and entity, attribute, and relation mining to ontology construction, entity alignment, and graph integration—and describes how the resulting graph supports personalized recommendation, search optimization, and statistical or regression‑based pricing models.

NLPe-commerceentity extraction
0 likes · 15 min read
Construction of a Second‑Hand E‑commerce Knowledge Graph and Its Application in Pricing Models
JD Tech
JD Tech
Sep 14, 2018 · Operations

Joint‑Venture Settlement Platform Overview and Billing Architecture

This document presents a comprehensive solution for merchant settlement in joint‑venture (co‑operated) offline stores, describing business models, settlement subject abstraction, billing engine components, settlement workflow, payment collection, and reconciliation architecture with detailed tables and diagrams.

FinancialMicroservicesOperations
0 likes · 18 min read
Joint‑Venture Settlement Platform Overview and Billing Architecture
JD Retail Technology
JD Retail Technology
Sep 13, 2018 · Product Management

JD.com Rental Platform: Integrated E‑commerce Rental Service and Technical Architecture

The JD.com Rental platform, launched in early 2018, combines e‑commerce and service models to offer a full‑cycle online rental experience across eight cities, leveraging custom front‑end channels, cloud‑based infrastructure, big‑data ranking algorithms, and the "Zhouzi" integration to sync millions of listings and streamline merchant operations.

Cloud Computinge-commercerental platform
0 likes · 8 min read
JD.com Rental Platform: Integrated E‑commerce Rental Service and Technical Architecture
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 Managemente-commerceproduct-service integration
0 likes · 6 min read
JD Automotive Value-Added Service System: Integrated Product and Service Platform
HomeTech
HomeTech
Sep 4, 2018 · Backend Development

Practical Architecture of Car Mall Red Packet System and Auto Home Double‑11 Main Venue

The session presented by senior architects Wang Song and Li Yan detailed the design, technology selection, and implementation of the Car Mall red‑packet system and the Auto Home Double‑11 main‑venue platform, focusing on high‑traffic handling, server‑side rendering, performance gains, and lessons learned from real‑world deployment.

BackendPerformance OptimizationSystem Architecture
0 likes · 4 min read
Practical Architecture of Car Mall Red Packet System and Auto Home Double‑11 Main Venue
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 31, 2018 · Artificial Intelligence

How Alibaba Built an E‑commerce Knowledge Graph to Power Smarter Search

This article explains Alibaba’s end‑to‑end approach to constructing an e‑commerce knowledge graph—detailing the background, challenges, data‑structuring methods, schema design, modular architecture, and deployment pipeline that enable deep user‑intent understanding across complex shopping scenarios.

AIOntologydata modeling
0 likes · 13 min read
How Alibaba Built an E‑commerce Knowledge Graph to Power Smarter Search
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 29, 2018 · Artificial Intelligence

How Graph Embedding Boosts E‑Commerce Recommendations: GES & EGES Explained

An in‑depth look at Alibaba’s billion‑scale graph embedding framework—GES and EGES—reveals how side‑information‑enhanced embeddings address user long‑tail coverage and cold‑start challenges, improving recommendation diversity and discovery across massive e‑commerce datasets and enabling real‑time personalized ranking.

cold starte-commercegraph embedding
0 likes · 7 min read
How Graph Embedding Boosts E‑Commerce Recommendations: GES & EGES Explained
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 7, 2018 · Artificial Intelligence

How Multi‑Task Learning Can Shrink E‑Commerce Product Titles Without Losing Sales

Researchers propose a multi‑task learning approach that compresses overly long e‑commerce product titles into concise short titles by jointly training a Pointer Network for extraction and an encoder‑decoder for query generation, preserving key information and maintaining conversion rates, as validated by offline and online experiments.

Natural Language Processinge-commercemulti-task learning
0 likes · 11 min read
How Multi‑Task Learning Can Shrink E‑Commerce Product Titles Without Losing Sales
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.

AgilePMBOKe-commerce
0 likes · 9 min read
Key Skills and Perspectives of a Successful Project Manager in E‑Commerce
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jul 27, 2018 · Databases

Designing Optimal Order Status Fields: Best Practices for Database Schemas

This article analyzes common disagreements in designing an order status field for e‑commerce systems, explores business state modeling, evaluates dictionary representations, recommends using varchar2 with a separate dictionary table, and provides a comprehensive set of status values and their handling guidelines.

Backend Developmentdatabase designe-commerce
0 likes · 19 min read
Designing Optimal Order Status Fields: Best Practices for Database Schemas
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 26, 2018 · Artificial Intelligence

How Alibaba’s DiDa Platform Uses AI to Automate Fashion Outfit Matching

Alibaba’s DiDa platform leverages deep learning models—including CNN, LSTM, and DAN—to automatically generate fashion outfit pairings and descriptive copy, integrating a context graph for business rules, supporting real‑time personalization across e‑commerce, and demonstrating significant efficiency and CTR gains.

AIdeep learninge-commerce
0 likes · 21 min read
How Alibaba’s DiDa Platform Uses AI to Automate Fashion Outfit Matching
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 4, 2018 · Artificial Intelligence

Machine Reading Comprehension Revolutionizes E‑commerce: Alibaba’s XiaoMi and AI Models

This article reviews the background of Alibaba's XiaoMi chatbot, explores how machine reading comprehension can be applied to e‑commerce scenarios such as rule interpretation and product inquiries, surveys key datasets and SQuAD‑based models, and discusses practical challenges and solutions for deploying these technologies in real‑world business environments.

AIAlibabaNatural Language Processing
0 likes · 18 min read
Machine Reading Comprehension Revolutionizes E‑commerce: Alibaba’s XiaoMi and AI Models
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jul 2, 2018 · Artificial Intelligence

How JD.com Built a Multi‑Screen Personalized Recommendation Engine

This article explains how JD.com evolved its recommendation system from simple product suggestions to a sophisticated, multi‑screen, multi‑type personalized engine using big‑data collection, real‑time behavior tracking, machine‑learning models, and a modular architecture that boosts conversion and user experience.

big datae-commercemachine learning
0 likes · 14 min read
How JD.com Built a Multi‑Screen Personalized Recommendation Engine
Architecture Digest
Architecture Digest
Jul 1, 2018 · Artificial Intelligence

Evolution and Architecture of JD.com Recommendation System

The article outlines the development, multi‑screen deployment, system architecture, data platform, and core recommendation engine of JD.com’s e‑commerce recommendation platform, highlighting how big‑data and AI techniques enable personalized product, activity, and content suggestions across various user touchpoints.

e-commercemachine learningpersonalization
0 likes · 16 min read
Evolution and Architecture of JD.com Recommendation System
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 29, 2018 · Artificial Intelligence

How AI Powers Heterogeneous Content Ranking in E‑Commerce Search

This paper addresses the challenge of ranking heterogeneous data in e‑commerce by proposing two algorithms—a multi‑armed bandit approach and a personalized Markov deep neural network—to select and order content streams, demonstrating superior performance over baseline models in A/B tests.

Bandit Algorithmscontent rankingdeep learning
0 likes · 7 min read
How AI Powers Heterogeneous Content Ranking in E‑Commerce Search
AntTech
AntTech
Jun 27, 2018 · Artificial Intelligence

Cross-Domain Review Helpfulness Prediction Using CNN with Auxiliary Domain Discriminators

This paper presents an end‑to‑end approach that combines an improved TextCNN with character‑level embeddings and a specific‑shared adversarial transfer‑learning framework to predict the helpfulness of e‑commerce reviews, demonstrating superior performance especially when target‑domain labeled data are scarce.

Natural Language ProcessingTextCNNcross-domain transfer learning
0 likes · 12 min read
Cross-Domain Review Helpfulness Prediction Using CNN with Auxiliary Domain Discriminators
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
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 13, 2018 · Artificial Intelligence

How Alibaba’s Knowledge Graph Powers Real-Time Product Safety with AI

Alibaba’s knowledge graph leverages massive product data, NLP, semantic reasoning, and machine‑learning inference to detect and block counterfeit, infringing, or unsafe items in real time, providing millisecond‑level responses, self‑learning capabilities, and explainable decisions across e‑commerce platforms, thereby protecting intellectual property and consumer rights.

AISemantic Reasoninge-commerce
0 likes · 9 min read
How Alibaba’s Knowledge Graph Powers Real-Time Product Safety with AI
Architecture Digest
Architecture Digest
Jun 7, 2018 · Backend Development

Technical Summary of Large-Scale Distributed E‑Commerce Website Architecture

This article provides a comprehensive technical overview of large distributed website architecture, covering performance, high availability, scalability, security, and agility, and illustrates the evolution, design patterns, and practical optimization techniques for modern e‑commerce platforms.

ArchitectureCachingHigh Availability
0 likes · 32 min read
Technical Summary of Large-Scale Distributed E‑Commerce Website Architecture
JD Retail Technology
JD Retail Technology
May 31, 2018 · Industry Insights

Inside JD.com’s Review & Share System: Architecture, Challenges, and Lessons

JD.com’s review and share platform combines multi‑dimensional rating, text, image and video content with a modular middleware, MySQL/MongoDB/HBase storage, Solr search, Redis caching and a management backend, detailing its architecture, daily operations, component‑based design, scalability challenges and future enhancements.

CachingComponentizationSystem Architecture
0 likes · 21 min read
Inside JD.com’s Review & Share System: Architecture, Challenges, and Lessons
Full-Stack Internet Architecture
Full-Stack Internet Architecture
May 24, 2018 · Backend Development

Designing a Basic Product Model for E‑commerce Systems

The article analyzes the evolution of e‑commerce product modeling, introduces categories, brands, and attribute‑based filtering, distinguishes products from SKUs, and proposes a backend‑centric data model that supports flexible search, display, and integration with other business services.

attributesdatabase designe-commerce
0 likes · 5 min read
Designing a Basic Product Model for E‑commerce Systems
Xianyu Technology
Xianyu Technology
May 10, 2018 · Artificial Intelligence

Mercari Price Prediction Using TFIDF, GRU, and Ensemble Models

By converting Mercari’s product titles, descriptions, and categorical data into TF‑IDF vectors and embeddings, training MLP and GRU networks, and ensembling them with weighted averaging, the authors achieve a 0.3873 RMSLE—matching the competition’s top score—and demonstrate the power of text‑only price prediction for C2C marketplaces.

GRUTFIDFe-commerce
0 likes · 8 min read
Mercari Price Prediction Using TFIDF, GRU, and Ensemble Models
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 28, 2018 · Artificial Intelligence

How Alibaba Uses AI to Power the New Retail Ecosystem

Alibaba’s recent Search and Computing Open Day revealed how AI, big‑data algorithms and multi‑objective optimization are reshaping its e‑commerce ecosystem, boosting commercial efficiency, supporting diverse merchants, and driving innovative retail experiences for billions of users.

AIAlgorithmsAlibaba
0 likes · 18 min read
How Alibaba Uses AI to Power the New Retail Ecosystem
JD Tech
JD Tech
Apr 28, 2018 · Backend Development

Evolution of JD.com Product Architecture: From Database Replication to Platformized Service Architecture (V1.0‑V3.0)

The article chronicles JD.com's product system evolution—from early SQL Server replication bottlenecks, through Redis‑based read services and full service‑oriented redesign with MySQL clustering, to a decoupled, multi‑layered platform that achieves high availability, scalability, and operational efficiency for billions of SKUs.

Backende-commercescalability
0 likes · 12 min read
Evolution of JD.com Product Architecture: From Database Replication to Platformized Service Architecture (V1.0‑V3.0)
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Apr 26, 2018 · Operations

How VIPshop Transformed Its Architecture from Single Apps to Scalable Service Platforms

This article examines VIPshop's evolution from a simple LAMP‑based outlet site to a multi‑layered, service‑oriented e‑commerce platform, detailing its business model shifts, architectural milestones, key design principles, and governance strategies for building a flexible, high‑availability operation system.

Platform DesignSystem Architecturee-commerce
0 likes · 13 min read
How VIPshop Transformed Its Architecture from Single Apps to Scalable Service Platforms
Suning Technology
Suning Technology
Apr 16, 2018 · Artificial Intelligence

How Suning’s AI‑Powered Banner Design Platform Revolutionizes E‑Commerce Advertising

This article explains how Suning’s intelligent design platform automates banner creation for online retail by combining deep‑learning image segmentation, rule‑based layout generation, multi‑task evaluation models, and adaptive coloring, dramatically reducing manual effort while boosting personalization and conversion rates.

AIautomationbanner design
0 likes · 17 min read
How Suning’s AI‑Powered Banner Design Platform Revolutionizes E‑Commerce Advertising
21CTO
21CTO
Apr 9, 2018 · Artificial Intelligence

How E‑Commerce Platforms Build Effective Product Recommendation Systems

This article explains the fundamentals and advanced techniques of e‑commerce product recommendation systems, covering conventional and personalized approaches, user profiling, data collection, storage, modeling, the three‑stage pipeline of preprocessing, recall and ranking, as well as system architecture, challenges, and key algorithms such as LR and GBDT.

Data Pipelinee-commercemachine learning
0 likes · 17 min read
How E‑Commerce Platforms Build Effective Product Recommendation Systems
JD.com Experience Design Center
JD.com Experience Design Center
Apr 9, 2018 · Product Management

Why X‑type vs Y‑type Product Categorization Matters for E‑Commerce User Experience

This article examines how traditional attribute‑based (X‑type) and user‑label‑based (Y‑type) product classifications affect shopper behavior across three scenarios—browsing, precise search, and casual exploration—and offers practical strategies for combining both approaches to improve e‑commerce category design and operations.

category designe-commerceproduct categorization
0 likes · 10 min read
Why X‑type vs Y‑type Product Categorization Matters for E‑Commerce User Experience
JD Retail Technology
JD Retail Technology
Feb 7, 2018 · Product Management

京东游戏精灵: A Component-Based Game Platform for Business Engagement

京东游戏精灵 is a component-based game platform that enables businesses to rapidly develop and deploy interactive games by reusing pre-built modules, significantly reducing development time and costs while enhancing user engagement through features like red envelopes and rewards.

Business EngagementComponentizationH5 games
0 likes · 4 min read
京东游戏精灵: A Component-Based Game Platform for Business Engagement
Java Backend Technology
Java Backend Technology
Feb 6, 2018 · Artificial Intelligence

How JD Built a Scalable AI-Powered Recommendation Engine for E‑Commerce

This article details JD's evolution from rule‑based recommendations to a multi‑screen, AI‑driven personalization platform, describing its system architecture, data pipelines, feature services, and key technologies that enable real‑time, user‑centric product suggestions across the e‑commerce ecosystem.

Artificial Intelligencebig datae-commerce
0 likes · 20 min read
How JD Built a Scalable AI-Powered Recommendation Engine for E‑Commerce
JD Tech
JD Tech
Feb 1, 2018 · Artificial Intelligence

Telepath: A Vision‑Based Recommender Model Inspired by Human Visual Perception

The Telepath model, presented at AAAI 2018, leverages a biologically‑inspired visual extraction pipeline and dual interest‑understanding networks to improve ranking in large‑scale e‑commerce recommendation and advertising, achieving significant offline and online gains in CTR, GMV, and ROI.

AAAI 2018Telepathdeep learning
0 likes · 13 min read
Telepath: A Vision‑Based Recommender Model Inspired by Human Visual Perception
Alibaba Cloud Developer
Alibaba Cloud Developer
Feb 1, 2018 · Artificial Intelligence

How Alibaba’s Graph‑Based Bundle Mining Doubles Conversion in E‑Commerce

Alibaba’s latest bundle‑mining system leverages weighted graph embedding and real‑time sampling to recommend complementary products, replacing traditional item‑to‑item similarity, boosting click‑through rates by up to 13% offline and 4% online during the Double‑11 promotion while handling billions of edges.

bundle mininge-commercegraph embedding
0 likes · 12 min read
How Alibaba’s Graph‑Based Bundle Mining Doubles Conversion in E‑Commerce
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jan 28, 2018 · Backend Development

Designing Scalable E‑Commerce Architecture: From Business to Technical Layers

This article explores how to design a high‑performance, highly available, and scalable e‑commerce platform by separating business and technical architectures, detailing subsystem decomposition, scaling strategies, and the evolution from simple single‑server setups to distributed, clustered solutions.

ArchitectureBackenddistributed systems
0 likes · 13 min read
Designing Scalable E‑Commerce Architecture: From Business to Technical Layers
21CTO
21CTO
Jan 24, 2018 · Product Management

Designing a Scalable E‑Commerce Product Model: From SPU to SKU

This article walks through the evolution of e‑commerce product modeling, explaining how categories, brands, attributes, SPU and SKU concepts combine to form a flexible system that supports browsing, filtering, and detailed product pages while keeping the architecture maintainable.

CatalogSPUattribute design
0 likes · 10 min read
Designing a Scalable E‑Commerce Product Model: From SPU to SKU
Architecture Digest
Architecture Digest
Jan 22, 2018 · Fundamentals

Designing a Basic Product Model for E‑commerce Systems

This article explains how to design a flexible product model for e‑commerce by evolving from simple category‑article structures to a richer schema that includes brands, attributes, specifications, and separate SKU entities, enabling effective filtering, search, and integration with other services.

attributesdata modelinge-commerce
0 likes · 6 min read
Designing a Basic Product Model for E‑commerce Systems
Suning Technology
Suning Technology
Jan 17, 2018 · Information Security

How Suning Built a Robust Security Architecture for E‑Commerce

This article examines Suning's evolution from a basic network‑operations unit to a comprehensive security ecosystem, detailing its organizational structure, protection platforms, integrated risk‑control mechanisms, big‑data threat perception system, and management processes that together safeguard its e‑commerce operations.

Security Architecturee-commerceinformation security
0 likes · 12 min read
How Suning Built a Robust Security Architecture for E‑Commerce
Alibaba Cloud Developer
Alibaba Cloud Developer
Jan 17, 2018 · Operations

How Alibaba Uses AI Models to Optimize Double 11 Consumer Benefits

Alibaba leverages multiple machine‑learning models—including spending forecasts, discount‑sensitivity, spread‑ability, category‑preference, and churn prediction—to intelligently allocate shopping vouchers and red packets during Double 11, boosting consumer engagement, merchant sales, and overall platform GMV.

consumer behaviore-commercemachine learning
0 likes · 9 min read
How Alibaba Uses AI Models to Optimize Double 11 Consumer Benefits