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e-commerce

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537 articles
Page 15 of 27
DataFunTalk
DataFunTalk
Sep 16, 2024 · Artificial Intelligence

Integrating Large Language Models into Health E‑commerce Recommendation Systems: Development, Challenges, and Practical Deployments

This article reviews the evolution of large‑model recommendation techniques, analyzes the specific demands and obstacles of health‑focused e‑commerce, and details JD Health's practical implementations—including LLM‑enhanced recall, deep item‑to‑item models, and scaling‑law‑driven CTR improvements—while discussing open research questions and future directions.

HealthcareLLM-enhancementctr
0 likes · 17 min read
Integrating Large Language Models into Health E‑commerce Recommendation Systems: Development, Challenges, and Practical Deployments
DataFunSummit
DataFunSummit
Aug 22, 2024 · Artificial Intelligence

Multimodal Algorithms for Content Understanding and Distribution in JD E‑commerce

This article presents JD's multimodal content‑understanding framework, detailing its five‑M business characteristics, the architecture of multimodal recall and ranking models, the GMF and MIN modules for semantic alignment and personalization, and future research directions involving large language models and end‑to‑end multimodal encoding.

AIContent Understandinge-commerce
0 likes · 16 min read
Multimodal Algorithms for Content Understanding and Distribution in JD E‑commerce
DataFunSummit
DataFunSummit
Feb 28, 2024 · Big Data

Integrating Business Metrics and Tags for Efficient Product Selection in Fresh Food E‑commerce

This article examines a real‑world case where a fresh‑food e‑commerce platform attempts to fuse business metrics and data tags to streamline monthly product selection, analyzes the shortcomings of the initial solution, and proposes two improved approaches—custom tag rules and algorithmic modeling—to enhance decision‑making efficiency.

Big DataData PlatformProduct Selection
0 likes · 10 min read
Integrating Business Metrics and Tags for Efficient Product Selection in Fresh Food E‑commerce
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.

AutomationBig DataData Governance
0 likes · 18 min read
Data Governance Practices for E‑commerce Platforms: Challenges, Frameworks, and Solutions
DataFunSummit
DataFunSummit
Dec 19, 2023 · Big Data

Metric Anomaly Detection and Diagnosis Practices at NetEase Yanxuan

This article presents NetEase Yanxuan's end‑to‑end approach for automatically detecting and diagnosing metric anomalies in e‑commerce, covering background motivation, three types of anomalies, statistical detection frameworks (GESD, volatility, Mann‑Kendall), post‑processing, contribution‑decomposition methods, dimension‑explosion challenges, optimization techniques, and a brief Q&A.

Big DataDiagnosticsStatistical Methods
0 likes · 18 min read
Metric Anomaly Detection and Diagnosis Practices at NetEase Yanxuan
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.

Big DataData WarehouseMetrics
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.

AutomationBig DataData Governance
0 likes · 19 min read
Data Governance Practices for E‑commerce Platforms Using Volcano Engine DataLeap
DataFunSummit
DataFunSummit
Jul 14, 2023 · Artificial Intelligence

Iterative Evolution of JD Search EE System: Adaptive Exploration, Scenario Modeling, Scoring‑Insertion Consistency, and Context‑Aware Brand Store Detection

This article details the multi‑stage evolution of JD's search Explore‑Exploit (EE) system—covering an adaptive dynamic detection model, scenario‑modeling upgrades, end‑to‑end scoring and insertion consistency, and context‑aware brand/store dimension detection—demonstrating how each iteration improves result diversity, user experience, and key online metrics while maintaining search efficiency.

adaptive modelinge-commerceexplore‑exploit
0 likes · 24 min read
Iterative Evolution of JD Search EE System: Adaptive Exploration, Scenario Modeling, Scoring‑Insertion Consistency, and Context‑Aware Brand Store Detection
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
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.

Transformere-commercemultimodal features
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.

UGCaspect extractione-commerce
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 NetworksReal-timee-commerce
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 IntelligenceLive Streaming
0 likes · 18 min read
Intelligent Data Assistant for Alibaba Live Streaming: Features, Architecture, and Business Value Validation