BestHub
Sign in
Tagged articles
776 articles
Page 6 of 8
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
JD.com Experience Design Center
JD.com Experience Design Center
Jun 8, 2020 · Product Management

How JD’s “Hundred Billion Subsidy” Brand Was Revamped for Better User Engagement

This article details JD's comprehensive redesign of the Hundred Billion Subsidy marketing brand, covering project background, identified pain points, the creation of a distinctive IP, visual positioning, brand distribution standards, and data‑driven UI improvements that boosted user attraction, coupon redemption, and overall performance.

JD.comMarketingUX design
0 likes · 11 min read
How JD’s “Hundred Billion Subsidy” Brand Was Revamped for Better User Engagement
JD Retail Technology
JD Retail Technology
Jun 5, 2020 · Operations

How JD Cloud Engineered a Seamless 618 Shopping Surge: Ops Strategies & Disaster Drills

This article details JD Cloud's comprehensive operational preparation for the 618 shopping festival, covering early resource procurement, hardware fault management, network and CDN scaling, extensive capacity‑testing, disaster‑recovery drills, and cross‑departmental coordination that together ensured stable service during massive traffic spikes.

Infrastructurecapacity planningcloud operations
0 likes · 8 min read
How JD Cloud Engineered a Seamless 618 Shopping Surge: Ops Strategies & Disaster Drills
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.

Deep LearningVector Retrievale‑commerce
0 likes · 11 min read
Semantic Retrieval and Product Ranking in JD E‑commerce Search
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 2, 2020 · Artificial Intelligence

How FashionBERT Boosts E‑Commerce Image‑Text Matching with Patch Embeddings

This article introduces FashionBERT, a multimodal BERT‑based model that replaces ROI‑based image tokens with uniform image patches to overcome e‑commerce specific challenges, details its architecture, adaptive loss balancing, deployment in Alibaba search, and reports significant performance gains on public and internal datasets.

BERTDeep LearningMultimodal
0 likes · 13 min read
How FashionBERT Boosts E‑Commerce Image‑Text Matching with Patch Embeddings
Yanxuan Tech Team
Yanxuan Tech Team
Jun 1, 2020 · Operations

Why Simulation Is Essential for E‑Commerce Supply Chain Optimization

Simulation enables low‑cost, time‑agnostic testing of e‑commerce supply‑chain strategies—covering procurement, inter‑warehouse allocation, and order dispatch—by combining precedent, experimentation, and modeling, offering a more flexible and comprehensive alternative to AB‑testing for evaluating policies, algorithms, and configurations.

Operationse‑commerceoptimization
0 likes · 15 min read
Why Simulation Is Essential for E‑Commerce Supply Chain Optimization
21CTO
21CTO
May 29, 2020 · Product Management

Unlocking Business Growth with User & Product Profiling: A Practical Guide

This article explains how to build a digital ecosystem using user and product profiling, covering the concepts, motivations, construction methods, and real‑world applications to drive precise marketing, improve product experience, and achieve sustainable business growth.

AnalyticsData-drivenDigital Transformation
0 likes · 20 min read
Unlocking Business Growth with User & Product Profiling: A Practical Guide
21CTO
21CTO
May 16, 2020 · Backend Development

How TMF2.0 Revolutionizes E‑Commerce Platforms with Full‑Link Business Identity

The article examines the challenges faced by Alibaba’s massive e‑commerce transaction system during peak events, outlines four key pain points—including lack of full‑link demand management, high platform entry barriers, insufficient business‑platform separation, and missing reusable assets—and presents the TMF2.0 framework’s design principles and solutions such as plugin‑based architecture, unified business identity, and separated management and runtime domains to improve development speed, scalability, and operational stability.

TMF2.0business identitye‑commerce
0 likes · 20 min read
How TMF2.0 Revolutionizes E‑Commerce Platforms with Full‑Link Business Identity
JD.com Experience Design Center
JD.com Experience Design Center
May 15, 2020 · Product Management

How to Redesign a Low‑Price E‑Commerce Channel for the Bottom‑Tier Market

This article details a comprehensive redesign of a low‑price e‑commerce channel targeting lower‑tier cities, outlining scenario‑based positioning, design strategies such as amplified benefits, grassroots copy, lively atmosphere, trust building, and measurable improvements in conversion and user perception.

MarketingUI redesignUser experience
0 likes · 11 min read
How to Redesign a Low‑Price E‑Commerce Channel for the Bottom‑Tier Market
DataFunTalk
DataFunTalk
May 13, 2020 · Artificial Intelligence

Designing and Scaling Recommendation Systems for Cross‑border E‑commerce Growth

This article shares the author’s experience at Club Factory, describing the business model, growth challenges, macro‑ and micro‑level analysis, and detailed technical breakdowns of recommendation system components—including recall, ranking, user interest modeling, evaluation metrics, and ecosystem considerations—to guide scalable e‑commerce growth.

Data-drivene‑commercegrowth strategy
0 likes · 17 min read
Designing and Scaling Recommendation Systems for Cross‑border E‑commerce Growth
Alibaba Cloud Developer
Alibaba Cloud Developer
May 11, 2020 · Artificial Intelligence

How Reinforcement Learning Revolutionizes E‑commerce Product Ranking

This article details the evolution of AliExpress product ranking from simple DNN scoring to advanced reinforcement‑learning re‑ranking, comparing multiple models, exploring context effects, introducing pointer‑network generators, evaluating various RL algorithms, and reporting significant online gains in conversion and GMV.

Reinforcement Learninge‑commerceonline experiments
0 likes · 28 min read
How Reinforcement Learning Revolutionizes E‑commerce Product Ranking
JD.com Experience Design Center
JD.com Experience Design Center
May 9, 2020 · Fundamentals

10 Essential E‑Commerce Metrics Every Analyst Should Master

This article explains the purpose and types of data metrics, outlines a logical framework for analyzing e‑commerce performance from traffic to behavior to transaction, and details ten key metrics—including GMV, conversion rate, UV value, click‑through and exposure rates—along with practical interpretation tips.

AnalyticsGMVconversion rate
0 likes · 12 min read
10 Essential E‑Commerce Metrics Every Analyst Should Master
Dual-Track Product Journal
Dual-Track Product Journal
May 7, 2020 · Product Management

Mastering E‑Commerce Product Management: From SPU & SKU to Full Lifecycle

This comprehensive guide explains the core concepts of e‑commerce product systems—including SPU and SKU definitions, their relationships, and the complete product management workflow covering publishing, editing, inventory, payment, logistics, and status transitions—providing essential knowledge for building robust online retail platforms.

CatalogSPUe‑commerce
0 likes · 11 min read
Mastering E‑Commerce Product Management: From SPU & SKU to Full Lifecycle
Suning Technology
Suning Technology
Apr 27, 2020 · Artificial Intelligence

How 20 Retail Tech Companies Navigate Pandemic Challenges and Spot New Opportunities

A comprehensive survey by Suning Retail Technology Institute and the Asia‑Pacific Smart Retail Industry Alliance reveals how twenty retail technology firms faced COVID‑19 disruptions, optimized operations, accelerated digital transformation, and identified emerging growth points in AI, big data, and omnichannel retail.

Artificial IntelligenceBig DataCOVID-19 Impact
0 likes · 17 min read
How 20 Retail Tech Companies Navigate Pandemic Challenges and Spot New Opportunities
JD Retail Technology
JD Retail Technology
Apr 7, 2020 · Artificial Intelligence

Fine-Grained Personalized Recommendation System Architecture for E-commerce

This article outlines the engineering architecture of a fine‑grained, personalized recommendation system for e‑commerce, covering core components such as feature data (offline and real‑time), algorithm engine (recall and ranking), technology choices like MongoDB, Elasticsearch, Kafka, Redis, and model deployment strategies.

algorithm enginee‑commercefeature data
0 likes · 9 min read
Fine-Grained Personalized Recommendation System Architecture for E-commerce
JD Retail Technology
JD Retail Technology
Apr 2, 2020 · Artificial Intelligence

How Deep Learning Powers Text Detection in E‑commerce Posters

This article surveys state‑of‑the‑art deep‑learning techniques for scene text detection and recognition in e‑commerce poster images, detailing models such as CTPN, TextBoxes, SegLink, EAST, and end‑to‑end frameworks, and discusses their architectures, strengths, limitations, and future challenges.

Computer VisionDeep Learninge‑commerce
0 likes · 16 min read
How Deep Learning Powers Text Detection in E‑commerce Posters
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 31, 2020 · Artificial Intelligence

How Alibaba’s AliCoCo Knowledge Graph Revolutionizes E‑Commerce Search & Recommendation

Alibaba’s AliCoCo, a large‑scale e‑commerce cognitive concept net, models user needs as graph nodes, linking concepts, primitives, taxonomy and items, and leverages advanced NLP, BiLSTM‑CRF, projection learning and knowledge‑enhanced models to boost search relevance, recommendation diversity, and overall user experience.

e‑commerceknowledge graphnatural language processing
0 likes · 25 min read
How Alibaba’s AliCoCo Knowledge Graph Revolutionizes E‑Commerce Search & Recommendation
Dual-Track Product Journal
Dual-Track Product Journal
Mar 25, 2020 · Product Management

Mastering E‑Commerce Category Design: From Backend Foundations to Frontend Mapping

This article explains how well‑designed product categories serve as the backbone of an e‑commerce platform, covering the concepts of backend and frontend categories, the construction of category trees, and various mapping strategies that help both users find items quickly and operators manage large inventories efficiently.

BackendMappingOperations
0 likes · 8 min read
Mastering E‑Commerce Category Design: From Backend Foundations to Frontend Mapping
DataFunTalk
DataFunTalk
Mar 23, 2020 · Artificial Intelligence

Deep Learning Applications in Alibaba 1688 B2B E‑commerce Recommendation System: From Deep Match to Live Content Ranking

This article details how Alibaba's 1688 B2B platform leverages deep learning techniques—including Deep Match, DIN, DIEN, DMR, and heterogeneous network models—to evolve its product recall, ranking, and live‑content recommendation pipelines, highlighting system architecture, practical lessons, and online performance improvements.

AlibabaDeep Learninge‑commerce
0 likes · 14 min read
Deep Learning Applications in Alibaba 1688 B2B E‑commerce Recommendation System: From Deep Match to Live Content Ranking
Suning Technology
Suning Technology
Mar 17, 2020 · Operations

How Retail Giants Can Thrive in Internet Healthcare: Insights and Strategies

This report analyzes how the COVID‑19 pandemic has turned healthcare into a fast‑growing e‑commerce opportunity, examines Suining's online medical initiatives, and explores whether retail firms' rapid response signals a new wave of entrants into the internet‑healthcare market.

COVID-19Digital Transformatione‑commerce
0 likes · 3 min read
How Retail Giants Can Thrive in Internet Healthcare: Insights and Strategies
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 13, 2020 · Artificial Intelligence

How Deep Match to Rank Boosts CTR Prediction in E‑Commerce Recommendations

The article presents the Deep Match to Rank (DMR) model, which integrates collaborative‑filtering inspired user‑to‑item relevance modeling into the ranking stage of recommendation systems, achieving significant offline and online improvements in click‑through rate and revenue metrics for e‑commerce platforms.

CTR predictionDeep Learninge‑commerce
0 likes · 11 min read
How Deep Match to Rank Boosts CTR Prediction in E‑Commerce Recommendations
macrozheng
macrozheng
Mar 11, 2020 · Backend Development

Mastering mall-swarm: Build a Spring Cloud Microservice E‑Commerce System

This article introduces mall‑swarm, a Spring Cloud‑based microservice e‑commerce platform, outlines its architecture, backend technology stack, project structure, and provides a detailed learning roadmap with tutorials, deployment guides, and integration tips for both backend and frontend developers.

MicroservicesSpring Cloude‑commerce
0 likes · 10 min read
Mastering mall-swarm: Build a Spring Cloud Microservice E‑Commerce System
Youzan Coder
Youzan Coder
Mar 4, 2020 · Mobile Development

Unified Online Store Product SDK: Architecture, Modularization, and Mobile Gateway Integration

The unified online‑store product SDK consolidates Retail and Micro‑Mall modules into a reusable, Bifrost‑mediated component that accesses host‑app data via a defined interface, adopts standardized UI elements, routes through a mobile‑gateway backend, and thus eliminates duplication, streamlines maintenance, and accelerates feature delivery across Youzan’s SaaS platforms.

AndroidSDKe‑commerce
0 likes · 14 min read
Unified Online Store Product SDK: Architecture, Modularization, and Mobile Gateway Integration
DataFunTalk
DataFunTalk
Feb 26, 2020 · Artificial Intelligence

User Growth, Full‑Stack Growth System, and Deep Learning Applications in Search at Alibaba 1688

This article presents a comprehensive overview of Alibaba 1688’s user‑growth strategy, full‑link growth system, intelligent coupon and push mechanisms, and the application of deep‑learning and optimization techniques in search and order‑aggregation, illustrating how data‑driven algorithms drive e‑commerce performance.

AIAlibabae‑commerce
0 likes · 20 min read
User Growth, Full‑Stack Growth System, and Deep Learning Applications in Search at Alibaba 1688
WecTeam
WecTeam
Jan 14, 2020 · Frontend Development

How JD’s Mart Page Maker Revolutionizes Front‑End Development with Zero‑Code Visual Building

This article explains how JD’s self‑built Mart Page Maker (MPM) enables large‑scale e‑commerce teams to create complex marketplace pages instantly without coding, by leveraging rich component templates, a three‑layer configuration model, unified data sources, and a high‑performance Node rendering layer.

Template Enginee‑commercefrontend
0 likes · 21 min read
How JD’s Mart Page Maker Revolutionizes Front‑End Development with Zero‑Code Visual Building
转转QA
转转QA
Jan 9, 2020 · Operations

Live Streaming Architecture, Testing Focus, and Automation Solutions at ZheZhe

The article outlines ZheZhe's live streaming system for e‑commerce, describing its recording‑encoding‑transmission‑decoding‑playback architecture, key testing areas such as stream quality, messaging and business functions, and the automated solutions—including a message‑simulation service and Python‑Puppeteer checks—implemented to improve reliability and efficiency.

Backendautomatione‑commerce
0 likes · 6 min read
Live Streaming Architecture, Testing Focus, and Automation Solutions at ZheZhe
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.

Load Testingcapacity planninge‑commerce
0 likes · 23 min read
Comprehensive Guide to E‑commerce Promotion Traffic Management and System Preparation
Aotu Lab
Aotu Lab
Jan 2, 2020 · Frontend Development

How to Build a Multi‑Platform E‑Commerce App with Taro and Cloud Development

The article explains how startups can quickly create low‑cost, lightweight multi‑platform e‑commerce applications by combining Tencent Cloud's cloud development services with the Taro framework, covering challenges, concepts of low‑cost and light‑mode, setup steps, and a real‑world example.

Tarocloud developmente‑commerce
0 likes · 8 min read
How to Build a Multi‑Platform E‑Commerce App with Taro and Cloud Development
Programmer DD
Programmer DD
Dec 27, 2019 · Backend Development

How Perfect Diary Scaled Its E‑commerce Platform for Double‑11: Backend Lessons

During Double‑11 2022, Perfect Diary built a micro‑service e‑commerce platform in four months, confronting distributed transactions, database overload, cache pressure, and traffic spikes, and then applied cloud‑native optimizations, rate‑limiting, and pressure testing to achieve record‑breaking sales performance.

Distributed TransactionsMicroservicescloud computing
0 likes · 9 min read
How Perfect Diary Scaled Its E‑commerce Platform for Double‑11: Backend Lessons
macrozheng
macrozheng
Dec 23, 2019 · Backend Development

From 0 to 30K Stars: Building an Open-Source SpringBoot E-Commerce Suite

In this year-end reflection, the author details the creation of several open-source projects—including a SpringBoot-based e-commerce system, its Vue admin panel, a learning tutorial, a lightweight skeleton, and a Spring Cloud micro-service version—highlighting the technologies, documentation, and architectural diagrams that earned over 30 k GitHub stars.

MicroservicesSpring Cloude‑commerce
0 likes · 7 min read
From 0 to 30K Stars: Building an Open-Source SpringBoot E-Commerce Suite
Mafengwo Technology
Mafengwo Technology
Dec 13, 2019 · Backend Development

How Go‑Powered IM Architecture Boosted E‑commerce Messaging Performance

This article explains how a travel e‑commerce platform rebuilt its instant‑messaging service with Go, separating business logic, introducing a dual‑layer distributed architecture, and optimizing performance and reliability to handle massive concurrent connections and improve overall GMV.

Distributed SystemsGoInstant Messaging
0 likes · 16 min read
How Go‑Powered IM Architecture Boosted E‑commerce Messaging Performance
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 12, 2019 · Artificial Intelligence

How Multi‑Layer Multi‑Frequency Streaming Training Boosts Real‑Time CTR/CVR Prediction

This article details a novel Multi‑Layer Multi‑Frequency streaming training approach that enables minute‑level real‑time updates of massive CTR/CVR models by partitioning weights into freezing embeddings, changing embeddings, and changing weights, demonstrating significant offline and online AUC gains, especially during high‑traffic events like Double 11.

CTR predictione‑commercemachine learning
0 likes · 18 min read
How Multi‑Layer Multi‑Frequency Streaming Training Boosts Real‑Time CTR/CVR Prediction
Efficient Ops
Efficient Ops
Dec 3, 2019 · Operations

How E‑commerce SRE Teams Tackle Scale, Cost, and Speed Challenges

The talk outlines the unique operational challenges of a fast‑growing e‑commerce platform—including massive scale, frequent changes, cost pressures, and the trade‑off between speed and stability—and describes how the SRE team uses automation, capacity planning, and process engineering to deliver reliable, efficient services.

SREe‑commerce
0 likes · 29 min read
How E‑commerce SRE Teams Tackle Scale, Cost, and Speed Challenges
Xianyu Technology
Xianyu Technology
Nov 28, 2019 · Big Data

Data‑Driven Seller Activity Enhancement on Xianyu

The Xianyu team built a data‑driven system that monitors seller online status and reply speed, uses Siddhi CEP to match behavior patterns, and orchestrates activities, tasks, and synchronization modules, boosting conversion by three percentage points and allowing new scenarios to launch without developer effort.

CEPactivity optimizatione‑commerce
0 likes · 8 min read
Data‑Driven Seller Activity Enhancement on Xianyu
FangDuoduo UEDC
FangDuoduo UEDC
Nov 27, 2019 · Product Management

How Can E‑Commerce Platforms Prevent Costly Listing Errors?

A recent Tmall incident where a unit‑typo caused massive orders highlights the need for system validation, inventory controls, and real‑time alerts, prompting practical suggestions to help merchants avoid similar costly mistakes and mitigate damage when they occur.

e‑commerceinventory controlproduct-management
0 likes · 3 min read
How Can E‑Commerce Platforms Prevent Costly Listing Errors?
JD Retail Technology
JD Retail Technology
Nov 19, 2019 · Industry Insights

How JD Retail’s Tech-Driven Strategies Redefine Modern E‑Commerce

JD Retail’s CEO Xu Lei outlined the company’s technology‑driven retail roadmap, highlighting the mature C2M model, real‑time price health management powered by big data and AI, an intelligent fulfillment brain enabling 15‑minute deliveries, and AI‑enhanced customer service, all backed by massive R&D investment.

AIC2MIntelligent Fulfillment
0 likes · 8 min read
How JD Retail’s Tech-Driven Strategies Redefine Modern E‑Commerce
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 15, 2019 · Artificial Intelligence

Boosting Online Shopping with AI-Powered 3D Scene Merchandising

This article explores how Alibaba’s 3D scene‑based recommendation system combines computer‑vision, deep‑learning and data‑driven matching algorithms to create immersive, size‑accurate product visualizations that enhance user experience and drive higher click‑through rates in e‑commerce.

3d-visualizationDeep Learninge‑commerce
0 likes · 12 min read
Boosting Online Shopping with AI-Powered 3D Scene Merchandising
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.

OperationsPerformance Testingcapacity planning
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
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 30, 2019 · Big Data

How Real-Time Big Data Pipelines Detect E‑Commerce Ad Misplacements

This article explains how a large‑scale e‑commerce search advertising system uses real‑time big‑data pipelines, log synchronization, NoSQL storage, and proactive verification to automatically discover and correct ad placement errors across the entire data processing chain, protecting both advertisers and the platform.

Big Dataad verificationdata pipeline
0 likes · 13 min read
How Real-Time Big Data Pipelines Detect E‑Commerce Ad Misplacements
58 Tech
58 Tech
Oct 28, 2019 · Artificial Intelligence

Ranking Strategy Optimization Practice in 58 Commercial Traffic

This article details the comprehensive optimization of 58's commercial traffic ranking system, covering data‑flow upgrades, advanced feature engineering, model enhancements—including online training, multi‑task and relevance models—and a multi‑factor ranking mechanism that together improve monetization efficiency and user experience.

Real-time Data Pipelinee‑commercefeature engineering
0 likes · 16 min read
Ranking Strategy Optimization Practice in 58 Commercial Traffic
DevOps
DevOps
Oct 28, 2019 · Product Management

Etsy Case Study: Business Model, Culture, and Operational Practices

This comprehensive case study examines Etsy’s origins, business model, cultural influences, leadership transitions, technical and operational reforms, marketplace economics, community‑driven marketing tactics, recent policy changes, and financial performance, providing valuable insights for product managers and operations professionals.

Etsye‑commerce
0 likes · 15 min read
Etsy Case Study: Business Model, Culture, and Operational Practices
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 10, 2019 · Artificial Intelligence

Boosting Spring Festival Activity: Alibaba’s Full‑Link Intelligent Delivery Framework

This article explains how Alibaba’s Hand‑Taobao platform uses a full‑link intelligent delivery framework—combining user intent recognition, rights recommendation, and advanced machine‑learning models such as XFTRL and Thompson Sampling—to predict activity drops during the Spring Festival and deliver personalized interventions that significantly improve DAU, click‑through, and redemption rates.

A/B testinge‑commercemachine learning
0 likes · 12 min read
Boosting Spring Festival Activity: Alibaba’s Full‑Link Intelligent Delivery Framework
FangDuoduo UEDC
FangDuoduo UEDC
Sep 3, 2019 · Product Management

How Taobao’s Homepage Recommendations Work: Full‑Page vs Section‑Focused Browsing

This article examines Taobao’s homepage recommendation system, comparing the full‑page browsing mode that displays a continuous stream of items with the section‑focused mode that groups products into distinct blocks, highlighting their design principles, user experience implications, and underlying recommendation strategies.

TaobaoUI designUser experience
0 likes · 1 min read
How Taobao’s Homepage Recommendations Work: Full‑Page vs Section‑Focused Browsing
JD Retail Technology
JD Retail Technology
Sep 2, 2019 · Operations

How a Real‑Time H5 Monitoring Platform Solves E‑Commerce Activity Issues

Facing frequent user complaints about broken, slow, or misleading H5 activity pages, JD’s massive e‑commerce operations categorize issues into four types and deploy the Woodpecker platform—a scalable, real‑time monitoring and analysis system that pre‑detects configuration errors, server faults, development bugs, and minor UX flaws, while offering extensible, configurable alerts and historical scans.

AIH5 monitoringOperations
0 likes · 15 min read
How a Real‑Time H5 Monitoring Platform Solves E‑Commerce Activity Issues
Tencent Cloud Developer
Tencent Cloud Developer
Aug 23, 2019 · Industry Insights

How Cloud and Mini‑Programs Are Redefining E‑Commerce: Key Takeaways from the Hangzhou Developer Summit

The Hangzhou Cloud+ Community Developer Summit showcased how cloud services, multi‑active architectures, live‑streaming innovations, and zero‑cost acquisition strategies are reshaping e‑commerce, offering developers concrete technical insights and practical guidance for building next‑generation shopping experiences.

community operationse‑commerceindustry insights
0 likes · 8 min read
How Cloud and Mini‑Programs Are Redefining E‑Commerce: Key Takeaways from the Hangzhou Developer Summit
Xianyu Technology
Xianyu Technology
Aug 20, 2019 · Artificial Intelligence

How Xianyu Boosted Sales with an AI-Powered Auto-Reply Chatbot

Xianyu tackled slow seller responses, inconsistent answers, and bargaining friction by building an AI-driven auto-reply system that extracts product attributes, generates knowledge bases, and uses intent recognition and response generation models, resulting in faster replies, higher conversion rates, and reduced seller workload.

AIAlibabaChatbot
0 likes · 12 min read
How Xianyu Boosted Sales with an AI-Powered Auto-Reply Chatbot
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 DataRecommendation Systems
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.

Coupondatabase schemae‑commerce
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.

Learning-to-RankReal-Timee‑commerce
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.”

AIBig DataJD.com
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
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.

database schemae‑commerceorder return
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.

@DataAlgorithmse‑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 theoremDDDDistributed Systems
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.

ComponentizationData 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.

MarketingPredictive Modelingcompetition
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.

AIEvaluation MetricsUser experience
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.

ComponentizationData PlatformJD.com
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 predictionRecommendation Systems
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.

Spring Bootbackend-developmente‑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.

DockerElasticsearchMyBatis
0 likes · 4 min read
Explore the Full‑Featured Mall E‑Commerce System Built with Spring Boot & MyBatis
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.

Query UnderstandingSearche‑commerce
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.

FacebookWeChatdigital ecosystem
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.

OntologySearchconcept mining
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.

FlinkReal-Timeblink
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.

Deep LearningSearch Algorithmscognitive AI
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.

Big DataNLPSentiment Analysis
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 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.

ARUser experienceVR
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.

AINLPclustering
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.

ELKNginxe‑commerce
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.

Market TrendsMobile CommerceSoutheast Asia
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.

extractive summarizatione‑commercepointer network
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.

Recommendation Systemse‑commercegraph embedding
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.

Deep Learninge‑commercepointer network
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 LearningReinforcement Learningdialogue system
0 likes · 17 min read
How Reinforcement Learning Powers Interactive Search in E‑Commerce