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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.

E-commerceInteractive AIedge AI

0 likes · 9 min read

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

DeWu Technology

Dec 11, 2024 · Artificial Intelligence

MLOps Practices for Improving Order Fulfillment Timeliness

The supply‑chain team leveraged core MLOps practices—versioning, testing, automated reproducible pipelines, deployment monitoring, and documentation—to eliminate data leakage, ensure online consistency, and accelerate model upgrades, using traffic‑replay, FAAS‑based decoupling, and approval workflows, ultimately cutting order‑fulfillment times, reducing costs, and enabling business teams to adopt reliable AI models at scale.

Data VersioningE-commerceModel Deployment

0 likes · 18 min read

MLOps Practices for Improving Order Fulfillment Timeliness

DaTaobao Tech

Dec 4, 2024 · Artificial Intelligence

LLM‑Powered Live Stream Analysis and Automation for E‑commerce

Taobao’s self‑operated live‑stream team built an end‑to‑end pipeline that downloads benchmark videos, transcribes audio, and uses GPT‑4o prompts to automatically summarize sales highlights, visual cues, and comments, delivering actionable insights that match manual notes, free operators for core tasks, and enable features like coupon pushes and intelligent product recommendations.

E-commerceFFmpegLLM

0 likes · 15 min read

LLM‑Powered Live Stream Analysis and Automation for E‑commerce

JD Retail Technology

Feb 10, 2025 · Artificial Intelligence

JD Merchant Intelligent Assistant: Multi‑Agent Architecture and Technical Exploration

The JD Merchant Intelligent Assistant employs a large‑language‑model‑driven multi‑agent architecture with dynamic ReAct planning, enabling merchants to query and execute store operations in under a second with over 90 % decision accuracy, while reducing inference cost, hallucinations, and engineering effort across diverse e‑commerce tasks.

AIE-commerceLLM

0 likes · 25 min read

JD Merchant Intelligent Assistant: Multi‑Agent Architecture and Technical Exploration

JD Retail Technology

Oct 15, 2024 · Artificial Intelligence

Large‑Model‑Driven Evolution of E‑commerce Search and Recommendation at JD Retail

The article examines how large language models are reshaping JD Retail's e‑commerce search and recommendation pipelines, detailing industry evolution, technical challenges such as knowledge hallucination, intent understanding, personalization, cost, and safety, and presenting JD's end‑to‑end AIGC architecture, data preprocessing, alignment, evaluation, and next‑generation AI search solutions.

AIE-commerceKnowledge Graph

0 likes · 36 min read

Large‑Model‑Driven Evolution of E‑commerce Search and Recommendation at JD Retail

JD Retail Technology

Aug 16, 2024 · Artificial Intelligence

Interview with JD Retail AI Director Zhai Zhouwei on the Evolution and Future of E‑commerce Search Powered by Large Models

In this interview, JD Retail’s AI director Zhai Zhouwei outlines the four historical stages of e‑commerce search, explains how large‑model AI is reshaping user interaction, retrieval and content generation, discusses practical challenges and solutions, and shares his vision and advice for enterprises adopting these technologies.

AIE-commerceJD.com

0 likes · 9 min read

Interview with JD Retail AI Director Zhai Zhouwei on the Evolution and Future of E‑commerce Search Powered by Large Models

JD Tech

Jun 6, 2018 · Backend Development

Integration of JD Service Market and Plugin Market: Architecture, Data and Process Fusion

This article details the comprehensive integration of JD's Service Market and Plugin Market, covering system architecture, data and process fusion, service workflow unification, transaction handling, and front‑back separation redesign to achieve a unified, high‑performance e‑commerce platform.

E-commerceJD.combackend architecture

0 likes · 13 min read

Integration of JD Service Market and Plugin Market: Architecture, Data and Process Fusion

Alibaba Cloud Infrastructure

Apr 21, 2016 · Mobile Development

Alibaba Mobile Technology: Architecture, Scaling, and Future Trends

The 2016 ATF Alibaba Technology Forum presented a comprehensive overview of Alibaba's mobile e‑commerce platform, detailing massive scale challenges, user‑experience driven innovations, container‑based client architecture, the Weex framework, and future directions such as live video, VR/AR, and high‑performance mobile networking.

AlibabaE-commerceMobile Development

0 likes · 23 min read

Alibaba Mobile Technology: Architecture, Scaling, and Future Trends

Architecture Digest

Apr 25, 2023 · Backend Development

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

This article details the design principles, architecture, multi‑tenant sharding strategy, state‑machine workflow, distributed transaction handling, and high‑availability measures of Vivo's transaction platform, illustrating how a micro‑service‑based e‑commerce system achieves low cost, extensibility, and robust performance.

E-commerceShardingState Machine

0 likes · 12 min read

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

DevOps

Nov 25, 2020 · Product Management

User Profiling Across the Lifecycle: Applying AARRR and RARRA Models in E‑commerce

This article explains how user profiling, using the AARRR and RARRA frameworks, can be applied at every stage of the e‑commerce user lifecycle—from pre‑arrival acquisition to post‑departure analysis—to drive product optimization, personalized services, and data‑driven decision making.

AARRRE-commerceProduct Optimization

0 likes · 13 min read

User Profiling Across the Lifecycle: Applying AARRR and RARRA Models in E‑commerce

DataFunTalk

Oct 11, 2024 · Artificial Intelligence

E‑commerce Innovation and Data Governance: Summaries of Recent Research Topics

This article compiles concise overviews of recent e‑commerce research, covering real‑time online learning re‑ranking models, causal inference for user growth, full‑link data lineage, TikTok's data governance and attribution solutions, Volcano Engine's metric management, AI Agent applications on 1688, and XinXuan Group's live‑stream data architecture.

AIE-commercecausal inference

0 likes · 5 min read

E‑commerce Innovation and Data Governance: Summaries of Recent Research Topics

DataFunSummit

Feb 13, 2025 · Big Data

E‑commerce Data Scraping: Fundamentals, Tools, Python Scripts, and Challenges

This tutorial explains e‑commerce web scraping fundamentals, covering definitions, tool types, data categories, step‑by‑step Python script creation with Requests, BeautifulSoup, and Selenium, provides sample code for Amazon, Walmart, and eBay, discusses challenges like dynamic pages and anti‑scraping measures, and recommends using specialized scraping APIs.

BeautifulSoupBright DataData Extraction

0 likes · 15 min read

E‑commerce Data Scraping: Fundamentals, Tools, Python Scripts, and Challenges

DataFunSummit

Jan 5, 2025 · Artificial Intelligence

Multi‑Objective Deep Reinforcement Learning Framework for E‑commerce Traffic Allocation (MODRL‑TA)

The article presents a CIKM‑2024 paper that introduces MODRL‑TA, a multi‑objective deep reinforcement learning system combining multi‑objective Q‑learning, a cross‑entropy‑based decision‑fusion algorithm, and a progressive data‑augmentation pipeline to dynamically allocate search traffic on JD.com, with both offline and online experiments showing substantial gains in CTR, CVR, and overall platform performance.

E-commercecross-entropy methoddeep learning

0 likes · 14 min read

Multi‑Objective Deep Reinforcement Learning Framework for E‑commerce Traffic Allocation (MODRL‑TA)

DataFunSummit

Aug 28, 2024 · Big Data

Building Data Lineage Foundations and Applications for E‑commerce Scenarios

This article explains how to construct a full‑link data lineage platform for e‑commerce, detailing its architecture, quality metrics, and practical uses such as table migration, field‑level tracing, and automated metric decomposition to improve data governance and efficiency.

E-commercebig datadata governance

0 likes · 14 min read

Building Data Lineage Foundations and Applications for E‑commerce Scenarios

DataFunSummit

Jul 21, 2023 · Operations

User Growth Practices and Data Strategy for Taobao Live App (DianTao)

This article presents a comprehensive overview of Taobao Live's (DianTao) user growth practice, detailing business background, industry challenges, data‑driven acquisition and retention strategies, lifecycle segmentation, and concrete capability designs to boost acquisition, activation, and recall in a competitive e‑commerce live‑streaming market.

AcquisitionE-commerceTaobao Live

0 likes · 20 min read

User Growth Practices and Data Strategy for Taobao Live App (DianTao)

php中文网 Courses

Oct 9, 2024 · Backend Development

PHP for E‑Commerce Development: Benefits, Frameworks, Core Features, and Best Practices

This guide explains why PHP is a strong choice for building e‑commerce sites, outlines popular PHP frameworks, details essential platform features, and offers best‑practice recommendations for performance, security, scalability, and testing in modern web development.

E-commerceFrameworksPHP

0 likes · 9 min read

PHP for E‑Commerce Development: Benefits, Frameworks, Core Features, and Best Practices

Dual-Track Product Journal

Jun 13, 2025 · Backend Development

Layered E‑Commerce Architecture: Blueprint for Scalable Platforms

This article breaks down a mature e‑commerce platform into six layered modules—user reach, business operation, transaction fulfillment, supply chain, infrastructure, and BI—detailing core functions, design considerations, and data‑driven processes to guide scalable system design.

E-commerceSystem Architecturebackend

0 likes · 7 min read

Layered E‑Commerce Architecture: Blueprint for Scalable Platforms

JD Tech

Jun 16, 2025 · Artificial Intelligence

How JD Engineers Leverage LLMs and Sparse Models to Boost Search and Ads

This article showcases three JD tech case studies—using large language models for e‑commerce query expansion, applying sparse large models with scaling‑law experiments to improve ad prediction, and building proactive risk‑prevention systems—to illustrate practical AI engineering that drives higher recall, conversion, and system robustness.

E-commerceadvertisinglarge language model

0 likes · 8 min read

How JD Engineers Leverage LLMs and Sparse Models to Boost Search and Ads

Xianyu Technology

Jul 9, 2020 · Product Management

Xianyu Product Structuring: Evolution, Current Strategies, and Future Directions

Xianyu’s product‑information structuring has progressed from simple text mining to multimodal AI pipelines that now boost coverage by nearly 50 %, while facing precision and engineering hurdles, and it plans to adopt a standardized VID attribute system, plug‑in multimodal models, and rule‑based input assistance to enable seamless, photo‑driven publishing.

E-commercedata engineeringmultimodal AI

0 likes · 10 min read

Xianyu Product Structuring: Evolution, Current Strategies, and Future Directions

Xianyu Technology

Mar 23, 2020 · Cloud Computing

Alibaba's Cloud Migration and AI Strategies for Double 11

Alibaba migrated all core e‑commerce systems to the cloud for Double 11, using a phased, cloud‑native approach to overcome legacy challenges, while deploying AI that handled 140 billion operations to personalize the shopping experience, and now plans to integrate 5G, AR and further AI‑driven retail innovations.

AlibabaCloud MigrationDouble 11

0 likes · 13 min read

Alibaba's Cloud Migration and AI Strategies for Double 11