BestHub
search
Sign in
Topic

e-commerce

Collection size
500 articles
Page 21 of 25
Top Architect
Top Architect
Mar 23, 2022 · Backend Development

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

This article provides a comprehensive technical overview of large‑scale distributed website architecture, covering characteristics, design goals, architectural patterns, performance, high availability, scalability, extensibility, security, agility, evolution stages, capacity estimation, and practical optimization techniques for e‑commerce platforms.

architecturecachingdistributed systems
0 likes · 25 min read
Technical Summary of Large-Scale Distributed Website Architecture and E‑Commerce System Design
Top Architect
Top Architect
Dec 24, 2021 · Backend Development

Designing High‑Concurrency Flash Sale (秒杀) System Architecture

The article explains what a flash‑sale (秒杀) is, outlines the severe technical challenges it creates for e‑commerce platforms such as massive concurrent traffic, database load and bandwidth spikes, and then presents concrete backend strategies and architectural designs to handle these issues efficiently.

Backende-commerceflash sale
0 likes · 8 min read
Designing High‑Concurrency Flash Sale (秒杀) System Architecture
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Jul 19, 2021 · Backend Development

Technical Architecture of an E‑commerce Coupon System

This article explains the complete technical design of an e‑commerce coupon system, covering data models, product‑page exposure, coupon claiming rules, high‑concurrency caching, MQ‑driven expiration handling, order‑time coupon calculation, redemption flow, and search‑based coupon indexing.

BackendElasticsearchcaching
0 likes · 10 min read
Technical Architecture of an E‑commerce Coupon System
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Jun 16, 2021 · Backend Development

Key Techniques for Inventory Deduction in High‑Concurrency E‑commerce Systems

This article explains the core technical points of inventory deduction in e‑commerce, covering database‑based deduction, read‑write splitting, cache‑based solutions with Redis and Lua scripts, sharding strategies, and their trade‑offs for ensuring consistency, performance, and scalability under massive concurrent traffic.

BackendConcurrencyRedis
0 likes · 12 min read
Key Techniques for Inventory Deduction in High‑Concurrency E‑commerce Systems
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Dec 17, 2020 · Operations

Community Group Buying: A Supply‑Chain Efficiency Revolution

The article examines how community group buying transforms fresh‑food e‑commerce by reducing loss rates through pre‑warehouse logistics, pre‑sale ordering, next‑day delivery and self‑pickup, while also discussing the broader implications for supply‑chain innovation and technology adoption.

community buyinge-commercelogistics
0 likes · 8 min read
Community Group Buying: A Supply‑Chain Efficiency Revolution
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.

BackendSKUattributes
0 likes · 5 min read
Designing a Basic Product Model for E‑commerce Systems
DataFunSummit
DataFunSummit
Feb 21, 2024 · Artificial Intelligence

Applying Knowledge Graphs to E‑commerce AIGC: From Domain to General KG and Large Language Models

This article presents a comprehensive overview of how knowledge graphs are integrated into e‑commerce AIGC pipelines, covering domain‑specific and generic KG‑driven text generation, model architecture, controllable generation techniques, experimental results, and future directions for large language models in commercial settings.

AIAIGCcontrolled generation
0 likes · 23 min read
Applying Knowledge Graphs to E‑commerce AIGC: From Domain to General KG and Large Language Models
DataFunSummit
DataFunSummit
Jan 26, 2024 · Big Data

Data Governance Practices for E‑commerce Platforms: Challenges, Frameworks, and Solutions

This article details Volcano Engine DataLeap's comprehensive data governance system for e‑commerce platforms, covering the key challenges of SLA quality, model stability, cost control, and low efficiency, and presenting a five‑part framework that includes top‑level architecture, systematic stability and cost governance, tool‑driven automation, SLA assurance processes, and future outlooks.

Big DataData Governanceautomation
0 likes · 18 min read
Data Governance Practices for E‑commerce Platforms: Challenges, Frameworks, and Solutions
DataFunSummit
DataFunSummit
Oct 22, 2023 · Big Data

How Kuaishou E‑commerce Leverages OLAP and a Unified Data Architecture to Solve Business Data Challenges

This article explains how Kuaishou's e‑commerce team built a unified OLAP‑based data platform—covering data ingestion, consistent dimensional and fact layers, metric management, and real‑time services—to address rapid growth, metric inconsistency, and operational inefficiencies across multiple business scenarios.

AnalyticsBig DataData Warehouse
0 likes · 20 min read
How Kuaishou E‑commerce Leverages OLAP and a Unified Data Architecture to Solve Business Data Challenges
DataFunSummit
DataFunSummit
Sep 14, 2023 · Big Data

Data Governance Practices for E‑commerce Platforms Using Volcano Engine DataLeap

The article presents Volcano Engine DataLeap's comprehensive data‑governance framework for e‑commerce platforms, covering challenges of large‑scale warehouses, a top‑level governance architecture, systematic stability, cost, and tool efficiency systems, and detailed implementation steps to achieve autonomous, distributed governance.

Big DataData Governanceautomation
0 likes · 19 min read
Data Governance Practices for E‑commerce Platforms Using Volcano Engine DataLeap
DataFunSummit
DataFunSummit
Mar 22, 2023 · Artificial Intelligence

Sales Forecasting in Alibaba Health's Pharmaceutical E‑commerce: Business Background, Algorithm Solutions, and Scenario Exploration

The article details a comprehensive presentation on Alibaba Health's pharmaceutical e‑commerce sales forecasting, covering supply‑chain challenges, the evolution of time‑series prediction methods, a full data‑to‑model pipeline, change‑point detection, handling imbalanced data, multi‑model fusion, and specialized seasonal and long‑sequence forecasting techniques.

Alibaba Healthe-commercemachine learning
0 likes · 16 min read
Sales Forecasting in Alibaba Health's Pharmaceutical E‑commerce: Business Background, Algorithm Solutions, and Scenario Exploration
DataFunSummit
DataFunSummit
Mar 25, 2022 · Artificial Intelligence

Advanced Practices in E‑commerce Recommendation: Multi‑Objective Ranking, User Behavior Sequence Modeling, Fine‑Grained Behavior Modeling, and Multimodal Features

The article presents JD's e‑commerce recommendation system, detailing its four‑stage ranking pipeline, multi‑objective optimization with personalized fusion, transformer‑based user behavior sequence modeling, fine‑grained behavior modeling, and multimodal feature integration, and shares experimental results and engineering optimizations.

e-commercemultimodal featuresmulti‑objective optimization
0 likes · 17 min read
Advanced Practices in E‑commerce Recommendation: Multi‑Objective Ranking, User Behavior Sequence Modeling, Fine‑Grained Behavior Modeling, and Multimodal Features
DataFunSummit
DataFunSummit
Feb 15, 2022 · Artificial Intelligence

Real-time Fraud Detection in E-commerce Payments Using Graph Neural Networks

This article presents an end‑to‑end solution that leverages graph neural networks and dynamic bipartite graph construction to detect payment fraud in eBay's e‑commerce platform in real time, addressing traditional model limitations, graph latency challenges, and demonstrating superior performance over GBDT approaches.

Graph Neural Networkse-commercefraud detection
0 likes · 15 min read
Real-time Fraud Detection in E-commerce Payments Using Graph Neural Networks
DataFunSummit
DataFunSummit
Dec 7, 2021 · Artificial Intelligence

NLG Solutions for E‑commerce: DAMO Academy’s XGeneration, Word2Text, KG2Text, and Metaphor Generation

This talk presents DAMO Academy’s end‑to‑end NLG pipeline for e‑commerce, covering the XGeneration content‑reproduction system, controllable short‑text generation models (PKM, PSCN), KG‑to‑text conversion, metaphor generation, and new‑media extensions such as short‑video script creation and intelligent video editing, together with experimental results and practical applications.

AIDAMO AcademyMetaphor Generation
0 likes · 11 min read
NLG Solutions for E‑commerce: DAMO Academy’s XGeneration, Word2Text, KG2Text, and Metaphor Generation
DataFunSummit
DataFunSummit
Sep 17, 2021 · Artificial Intelligence

Intelligent Data Assistant for Alibaba Live Streaming: Features, Architecture, and Business Value Validation

This article describes Alibaba's intelligent data assistant for live‑streaming hosts, detailing their real‑time and post‑session reporting tools, AI‑driven insights, system architecture, and a rigorous A/B experiment with Tsinghua University that demonstrates significant sales uplift from real‑time pre‑sale information.

A/B testingArtificial IntelligenceData Analytics
0 likes · 18 min read
Intelligent Data Assistant for Alibaba Live Streaming: Features, Architecture, and Business Value Validation
DataFunSummit
DataFunSummit
Feb 28, 2021 · Product Management

Analysis of Shein's Fast Fashion Business Model and Its Data‑Driven Competitive Advantages

The article examines Shein's rapid‑growth fast‑fashion model, highlighting its data‑driven product planning, ultra‑flexible supply chain, digitalization, and logistics capabilities, and discusses how these strengths create a scalable competitive edge and potential opportunities for domestic and international players.

Data-DrivenFast FashionShein
0 likes · 12 min read
Analysis of Shein's Fast Fashion Business Model and Its Data‑Driven Competitive Advantages
DataFunTalk
DataFunTalk
Jun 17, 2024 · Artificial Intelligence

AI Agent Applications and Architecture in the 1688 E‑commerce Platform

This article summarizes the exploration of AI agents on the 1688 e‑commerce platform, covering the value of large language models, the agent solution architecture, deployment strategies, multi‑turn interaction design, AI‑driven innovation paradigms, and future planning discussed at DataFunCon 2024.

AI AgentMulti‑turn InteractionPrompt Engineering
0 likes · 26 min read
AI Agent Applications and Architecture in the 1688 E‑commerce Platform
DataFunTalk
DataFunTalk
Jun 14, 2024 · Artificial Intelligence

Shopee's E‑commerce Knowledge Graph Construction and Integration with Large Models

This article presents Shopee's comprehensive exploration of building an e‑commerce knowledge graph, detailing its challenges, construction pipeline, AI‑driven extraction and fusion techniques, multilingual and multimodal modeling, and practical applications ranging from search and recommendation to AI assistants and real‑time updates.

AI applicationsInformation ExtractionLarge Language Models
0 likes · 21 min read
Shopee's E‑commerce Knowledge Graph Construction and Integration with Large Models
DataFunTalk
DataFunTalk
Jul 27, 2023 · Artificial Intelligence

Applying AIGC in E‑commerce: Product Copy and Image Generation with Large Language Models

This article shares recent AIGC practices in e‑commerce, detailing product copy generation using GPT‑based models, image creation with Stable Diffusion, the evolution of large language models, technical solutions, experimental results, and future opportunities for AI‑driven automation in online retail.

AIGCLarge Language Modelse-commerce
0 likes · 18 min read
Applying AIGC in E‑commerce: Product Copy and Image Generation with Large Language Models
DataFunTalk
DataFunTalk
Jul 12, 2023 · Artificial Intelligence

Evolution of Search EE System: Adaptive Exploration, Scenario Modeling, End-to-End Scoring Consistency, and Context-Aware Brand Store Detection

This article outlines the recent full‑cycle iterations of JD’s search Explore‑Exploit (EE) system, covering adaptive dynamic detection models, upgraded scenario modeling, two‑stage scoring and insertion consistency, end‑to‑end dynamic insertion, and context‑aware brand‑store dimension detection, with detailed methodology, experiments, and online results.

e-commerceexplore‑exploitmachine learning
0 likes · 22 min read
Evolution of Search EE System: Adaptive Exploration, Scenario Modeling, End-to-End Scoring Consistency, and Context-Aware Brand Store Detection