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e-commerce

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535 articles
Page 15 of 27
DataFunSummit
DataFunSummit
Aug 3, 2022 · Artificial Intelligence

AliMe MKG: Multimodal Knowledge Graph for Live E‑commerce and Its Technical Exploration

This report presents AliMe MKG, a multimodal knowledge graph designed for live e‑commerce, detailing its business background, construction and application, the three types of multimodal knowledge (triples, sentences, and visual media), the underlying extraction techniques, and its deployment in digital‑human anchors and intelligent live‑room assistants.

AIdigital humane-commerce
0 likes · 19 min read
AliMe MKG: Multimodal Knowledge Graph for Live E‑commerce and Its Technical Exploration
DataFunSummit
DataFunSummit
Apr 12, 2022 · Artificial Intelligence

Intelligent Auction Mechanisms for Alibaba Display Advertising: AIDA Framework, Deep GSP, and Neural Auction

This article presents the evolution of Alibaba's display advertising auction mechanisms, introducing the AIDA decision‑allocation framework, the Deep GSP multi‑objective smart auction, and the end‑to‑end Neural Auction, while discussing their economic theory, engineering platformization, business impact, and future research directions.

AIDeep Learningadvertising
0 likes · 18 min read
Intelligent Auction Mechanisms for Alibaba Display Advertising: AIDA Framework, Deep GSP, and Neural Auction
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.

Recommendation SystemsTransformere-commerce
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 28, 2022 · Artificial Intelligence

UGC Sentiment Analysis Solutions and Applications in Taobao

This article presents a comprehensive overview of Taobao's user‑generated content (UGC) sentiment analysis pipeline, covering background, task definition, challenges, model architecture—including RoBERTa‑based extraction, sentiment‑knowledge pre‑training, and graph augmentation—personalized impression ranking, business impact cases, and future research directions.

Machine LearningUGCaspect extraction
0 likes · 16 min read
UGC Sentiment Analysis Solutions and Applications in Taobao
DataFunSummit
DataFunSummit
Feb 21, 2022 · Artificial Intelligence

Advances in E‑commerce Search: Embedding, Knowledge Graphs, and Retrieval Models

This article reviews recent research on e‑commerce search, covering transformer‑based complementary rankings, Alibaba's cognitive concept net and its extension, joint deep retrieval with product quantization, personalized semantic retrieval, multi‑granularity deep semantic retrieval, and graph‑attention networks for long‑tail shop search.

AIe-commerceembedding
0 likes · 12 min read
Advances in E‑commerce Search: Embedding, Knowledge Graphs, and Retrieval Models
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 NetworksMachine LearningReal-time
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
Oct 10, 2021 · Artificial Intelligence

Advances in Knowledge Graph Construction and Applications at Alibaba's AliMe

This article presents Alibaba's AliMe team’s year‑long progress on knowledge graphs, covering the basics of knowledge graphs, domain‑specific and multi‑modal graph construction techniques, practical e‑commerce applications such as dialogue‑driven recommendation, virtual‑anchor script generation, and key takeaways for future research.

artificial intelligencee-commerceentity extraction
0 likes · 24 min read
Advances in Knowledge Graph Construction and Applications at Alibaba's AliMe
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
Aug 28, 2021 · Artificial Intelligence

Evolution of Alibaba’s Advertising Prediction Models: From Linear Regression to Deep Interest Evolution Networks

This article reviews the characteristics of e‑commerce personalized prediction, traces Alibaba’s advertising CTR model evolution from large‑scale logistic regression through deep learning architectures such as DIN and CrossMedia, and discusses future research directions like representation learning and white‑box modeling.

CTR predictionDeep Learningadvertising
0 likes · 13 min read
Evolution of Alibaba’s Advertising Prediction Models: From Linear Regression to Deep Interest Evolution Networks
DataFunSummit
DataFunSummit
Jul 24, 2021 · Artificial Intelligence

Alibaba 1688 User Growth, Full‑Chain Growth System, and Deep‑Learning Applications in Search and Promotion

This article presents a comprehensive overview of Alibaba 1688's user‑growth strategy, detailing lifecycle segmentation, budget‑constrained installation optimization, intelligent red‑packet allocation, smart push mechanisms, information‑flow advertising, and the deep‑learning‑driven search pipeline that together power the platform's growth engine.

Machine LearningRecommendation Systemsbudget optimization
0 likes · 20 min read
Alibaba 1688 User Growth, Full‑Chain Growth System, and Deep‑Learning Applications in Search and Promotion
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.

Fast FashionSheindata-driven
0 likes · 12 min read
Analysis of Shein's Fast Fashion Business Model and Its Data‑Driven Competitive Advantages
DataFunSummit
DataFunSummit
Jan 1, 2021 · Big Data

User Profiling: Concepts, Necessity, Construction Methods, and Applications

This article explains what user profiling is, why it is essential for businesses, outlines practical steps to build accurate user profiles, showcases various application scenarios, and provides references for further study, offering a comprehensive overview for data‑driven product and marketing teams.

big datacustomer segmentationdata analysis
0 likes · 3 min read
User Profiling: Concepts, Necessity, Construction Methods, and Applications
DataFunSummit
DataFunSummit
Dec 6, 2020 · Artificial Intelligence

E‑commerce Search Engine Recall and Vector Retrieval Techniques

This article explains how e‑commerce platforms use inverted indexes for fast word‑based recall, introduce vector‑based semantic retrieval, and combine deep‑learning models such as DSSM and DeepMatch with real‑time user behavior attention networks to generate efficient, personalized candidate sets for ranking.

Deep Learninge-commercerecall
0 likes · 15 min read
E‑commerce Search Engine Recall and Vector Retrieval Techniques
DataFunTalk
DataFunTalk
Aug 5, 2024 · Artificial Intelligence

Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches, and Insights

This article presents a comprehensive study on integrating multimodal image‑text representations into large‑scale e‑commerce advertising CTR models, introducing a semantic‑aware contrastive pre‑training (SCL) method and two application algorithms (SimTier and MAKE) that together achieve over 1 % GAUC improvement and significant online gains.

CTR predictionRecommendation Systemscontrastive learning
0 likes · 21 min read
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches, and Insights
DataFunTalk
DataFunTalk
Jul 16, 2024 · Big Data

E‑commerce Metric Management Practice Based on DataLeap

This article details ByteDance Volcano Engine's DataLeap‑driven e‑commerce metric management practice, covering the background of metric system construction, challenges of inconsistency, the six‑point platform solution, metric DSL query language, consumption workflow, and future plans for intelligent automation and large‑model integration.

Data PlatformDataLeapMetricDSL
0 likes · 18 min read
E‑commerce Metric Management Practice Based on DataLeap
DataFunTalk
DataFunTalk
Jul 15, 2024 · Big Data

Douyin Group E‑commerce Data Tracking Evolution, Solutions, and Attribution Practices

This article examines Douyin Group's e‑commerce data‑tracking journey, detailing the progression from early log collection to Log 3.0, the challenges posed by rapidly evolving user flows, and the comprehensive solution framework—including BTM/BCM management, SDK capabilities, and an attribution platform—that improves data quality, development efficiency, and attribution accuracy.

AttributionData EngineeringSDK
0 likes · 20 min read
Douyin Group E‑commerce Data Tracking Evolution, Solutions, and Attribution Practices
DataFunTalk
DataFunTalk
Jun 19, 2024 · Big Data

Evolution and Practices of E‑commerce Data Warehouse Governance

This article analyzes the current state, development stages, and comprehensive solutions of e‑commerce data‑warehouse governance, covering data quality, cost, security, and efficiency requirements, and presents a roadmap from early‑stage standardization to mature tool‑driven governance with future outlooks.

Cost ManagementData GovernanceData Warehouse
0 likes · 13 min read
Evolution and Practices of E‑commerce Data Warehouse Governance
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 agentDeploymentLarge Language Model
0 likes · 26 min read
AI Agent Applications and Architecture in the 1688 E‑commerce Platform