Topic

e-commerce

Collection size
522 articles
Page 22 of 27
Taobao Frontend Technology
Taobao Frontend Technology
Jul 7, 2020 · Frontend Development

Transforming Taobao Front‑End: The Industry Cube’s Fast‑Track Module System

The article explains how Taobao’s front‑end team created the Industry Cube platform—a data‑driven, component‑based system that streamlines the rapid construction, operation, and maintenance of industry pages, addressing scalability, performance, and customization challenges encountered during large‑scale events like the 618 promotion.

Module Systemcomponent architecturedata-driven UI
0 likes · 7 min read
Transforming Taobao Front‑End: The Industry Cube’s Fast‑Track Module System
Taobao Frontend Technology
Taobao Frontend Technology
Mar 23, 2020 · Cloud Computing

Alibaba’s 2019 Double‑11: Full Cloud Migration and Live‑Streaming Leap

In a landmark 2019 Double‑11, Alibaba’s new retail tech division, led by former iQIYI CTO Tang Xing, migrated its core transaction systems entirely to the cloud, scaled live‑streaming to record sales, integrated edge AI for billions of decisions, and outlined a multi‑phase strategy that blends cloud‑native infrastructure, serverless functions, and future 5G‑driven innovations.

AIAlibabaCloud Migration
0 likes · 16 min read
Alibaba’s 2019 Double‑11: Full Cloud Migration and Live‑Streaming Leap
Xianyu Technology
Xianyu Technology
Aug 10, 2021 · Product Management

Design of Full-Traffic AB Experiments for Seller Growth on Xianyu

The article describes a full‑traffic A/B testing framework for Xianyu that hashes seller IDs to create exclusive experiment and control groups, ensuring each seller sees only one strategy, and demonstrates that a chat‑incentive for new or churned sellers boosted chat exposure by 22 % and modestly improved overall buyer‑seller metrics without harming transaction efficiency.

AB testingdata analysise-commerce
0 likes · 9 min read
Design of Full-Traffic AB Experiments for Seller Growth on Xianyu
Bilibili Tech
Bilibili Tech
Jan 17, 2023 · Information Security

Understanding Checkout (Payment) Systems: Concepts, Types, and Capabilities

The article explains that a checkout is the final online payment interface that consolidates multiple payment channels, adapts to various device contexts (PC, H5, SDK, API) and presentation modes, simplifies integration, enhances security, manages channel display rules and transaction flows, and future‑proofs merchants against evolving payment innovations.

Payment GatewaySecuritycheckout
0 likes · 13 min read
Understanding Checkout (Payment) Systems: Concepts, Types, and Capabilities
JD Retail Technology
JD Retail Technology
May 31, 2021 · Operations

JD Health Technical Product Team's 2021 618 Promotion Preparation: Architecture Review, Performance Tuning, Security Drills, and Monitoring

The JD Health Technical Product Team organized a comprehensive 618 promotion preparation in 2021, covering system architecture reviews, capacity assessments, performance stress testing, offensive‑defensive drills, system optimization, 24‑hour monitoring, and product operation training to ensure high availability and stable service during the large‑scale sales event.

e-commercemonitoringoperations
0 likes · 10 min read
JD Health Technical Product Team's 2021 618 Promotion Preparation: Architecture Review, Performance Tuning, Security Drills, and Monitoring
JD Retail Technology
JD Retail Technology
Jul 25, 2018 · Artificial Intelligence

JD.com Infrastructure Team Wins SIGIR 2018 E‑commerce Product Categorization Competition

The JD.com Infrastructure team won the SIGIR 2018 e‑commerce competition by developing a multi‑level deep‑learning model that tackled severe class imbalance, vocabulary drift, and hierarchical labeling, boosting F1 from 0.74 to 0.84 and earning paper acceptance at the SIGIR conference.

SIGIRdeep learninge-commerce
0 likes · 5 min read
JD.com Infrastructure Team Wins SIGIR 2018 E‑commerce Product Categorization Competition
JD Retail Technology
JD Retail Technology
Sep 18, 2017 · Product Management

Innovation in Product Management: Insights from JD POP Platform Senior Technical Product Manager Zhou Yinhua

In this interview, JD POP senior technical product manager Zhou Yinhua shares her experiences on driving innovation within product management, detailing the importance of innovative thinking, the challenges faced, the development of the POP merchant consulting platform, and how these practices have strengthened JD’s e‑commerce operations.

Consulting PlatformInnovationJD POP
0 likes · 9 min read
Innovation in Product Management: Insights from JD POP Platform Senior Technical Product Manager Zhou Yinhua
JD Tech Talk
JD Tech Talk
Aug 7, 2020 · Information Security

Fraudar: Graph-Based Fraud Detection in Bipartite Transaction Networks

The article explains how e‑commerce fraud such as fake order brushing can be modeled as a bipartite transaction network and tackled with the Fraudar algorithm, which iteratively removes low‑suspicion nodes using a global suspiciousness metric and priority‑tree structures to uncover dense suspicious sub‑graphs.

bipartite graphe-commercefraud detection
0 likes · 14 min read
Fraudar: Graph-Based Fraud Detection in Bipartite Transaction Networks
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Jan 15, 2016 · Information Security

Alibaba’s Full‑Site HTTPS Deployment for E‑Commerce: Challenges, Architecture, and Performance Optimizations

The article examines Alibaba’s large‑scale rollout of full‑site HTTPS across its e‑commerce platforms, detailing the technical hurdles of performance, compatibility, and operational planning, and describing the architectural solutions and optimizations that enabled secure, high‑performance user experiences.

AlibabaFull‑Site EncryptionHTTPS
0 likes · 7 min read
Alibaba’s Full‑Site HTTPS Deployment for E‑Commerce: Challenges, Architecture, and Performance Optimizations
Architecture Digest
Architecture Digest
Apr 14, 2023 · Backend Development

Design and Architecture of a Scalable Transaction Platform for Vivo Global Mall

This article presents the design philosophy, overall architecture, multi‑tenant sharding strategy, state‑machine workflow, distributed transaction handling, and high‑availability measures of Vivo’s global e‑commerce transaction platform, sharing practical challenges and solutions encountered during its development and ongoing evolution.

Distributed TransactionsShardinge-commerce
0 likes · 14 min read
Design and Architecture of a Scalable Transaction Platform for Vivo Global Mall
Architect
Architect
Jan 19, 2023 · Backend Development

Preventing Duplicate Payments in E‑commerce: Process, Problems, and Solutions

This article explains the typical e‑commerce payment flow, analyzes why duplicate payments occur due to missing locks, drop‑offs, and multi‑channel issues, and presents practical backend techniques such as distributed locking, result caching, payment‑stream cancellation, refund handling, active polling, and client‑side pull/push strategies to reliably prevent repeated payments.

backendcachingdistributed lock
0 likes · 10 min read
Preventing Duplicate Payments in E‑commerce: Process, Problems, and Solutions
DataFunTalk
DataFunTalk
Jan 29, 2023 · Artificial Intelligence

Data Science Practices in E‑commerce Search: Experimentation, Causal Inference, and Metric Design

This article presents the JD Retail search data‑science team's practical approaches to e‑commerce search, covering the scene’s unique data characteristics, order attribution methods, AB experiment design, causal‑inference frameworks, variance‑reduction techniques, quasi‑experimental evaluations, and metric design for traffic distribution, all illustrated with real‑world examples and visualizations.

AB testingData Sciencecausal inference
0 likes · 18 min read
Data Science Practices in E‑commerce Search: Experimentation, Causal Inference, and Metric Design
DataFunTalk
DataFunTalk
Oct 11, 2022 · Artificial Intelligence

Search vs Recommendation vs Advertising: Concepts, Differences, and System Architectures

This article provides an overview of search, recommendation, and advertising as core internet services, comparing their problem definitions, business goals, algorithmic models, and system architectures across web, e‑commerce, and O2O scenarios, while outlining historical development and key industry examples.

AIAlgorithmadvertising
0 likes · 13 min read
Search vs Recommendation vs Advertising: Concepts, Differences, and System Architectures
DataFunTalk
DataFunTalk
Jan 19, 2022 · Artificial Intelligence

ZEUS: A Self‑Supervised Multi‑Scenario Query Ranking Model for E‑commerce Search

The article presents ZEUS, a self‑supervised multi‑scenario ranking model that leverages user‑initiated behavior pre‑training to break feedback loops and improve query recommendation efficiency across diverse e‑commerce search scenarios, achieving significant gains in CTR, CVR, and GMV.

CTR predictionTransformere-commerce
0 likes · 19 min read
ZEUS: A Self‑Supervised Multi‑Scenario Query Ranking Model for E‑commerce Search
DataFunTalk
DataFunTalk
Apr 4, 2021 · Big Data

User Profiling: Concepts, Practices, and Data‑Driven E‑Commerce Case Study

This article introduces the fundamentals of user profiling, explains tag types and their business value, and demonstrates a data‑driven e‑commerce case study that analyzes gender, age, region, marital status, education, profession, product preferences, purchase timing, and price sensitivity to guide targeted promotion strategies.

Pythonbig datadata analysis
0 likes · 16 min read
User Profiling: Concepts, Practices, and Data‑Driven E‑Commerce Case Study
DataFunTalk
DataFunTalk
Jan 8, 2021 · Artificial Intelligence

Deconstructing E‑commerce Recommendation Systems: Architecture, Challenges, and Strategies

This article provides a comprehensive overview of e‑commerce recommendation systems, detailing their end‑to‑end workflow, key challenges such as multi‑scenario objectives and data loops, core components like recall and ranking, model evolution, feature engineering, evaluation metrics, and practical considerations for building a healthy, multi‑objective recommendation ecosystem.

data engineeringe-commercemachine learning
0 likes · 17 min read
Deconstructing E‑commerce Recommendation Systems: Architecture, Challenges, and Strategies
DataFunTalk
DataFunTalk
Nov 4, 2020 · Artificial Intelligence

Intelligent E‑commerce Search: Architecture, Techniques, and Real‑World Impact

This article explores the evolution of e‑commerce search, detailing why search matters, the technical pipeline—including query preprocessing, entity and intent recognition, knowledge‑graph construction, recall, coarse and fine ranking—and demonstrates substantial performance gains through real‑world case studies.

AIe-commerceinformation retrieval
0 likes · 16 min read
Intelligent E‑commerce Search: Architecture, Techniques, and Real‑World Impact
DataFunTalk
DataFunTalk
Sep 19, 2020 · Artificial Intelligence

AliCoCo: Alibaba’s E‑commerce Cognitive Concept Net – Architecture, Construction, and Applications

The article presents AliCoCo, Alibaba’s large‑scale e‑commerce knowledge graph that models user demand as concepts, describes its four‑layer architecture, the algorithms for concept extraction, taxonomy building, and item association, and demonstrates its impact on search and recommendation systems.

AlibabaNLPconcept extraction
0 likes · 22 min read
AliCoCo: Alibaba’s E‑commerce Cognitive Concept Net – Architecture, Construction, and Applications
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.

backenddatabase designe-commerce
0 likes · 6 min read
Exploring Mall E‑Commerce System: Database Schemas and Functional Overview
macrozheng
macrozheng
Jul 18, 2019 · Databases

Unlocking Order Management: Complete Database Schema for E‑Commerce Orders

This article provides a detailed analysis of the order-related database tables—including orders, order items, operation history, and order settings—along with their fields, data types, and meanings, and showcases how these tables are presented in both admin and mobile interfaces of an e‑commerce system.

Backend DevelopmentOrder ManagementSQL
0 likes · 9 min read
Unlocking Order Management: Complete Database Schema for E‑Commerce Orders