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DataFunSummit
DataFunSummit
Mar 11, 2023 · Databases

Graph Database Storage and Knowledge Graph Practices – Forum Overview

The forum explores the rapid growth and complexity of knowledge graphs, addressing storage and computation challenges through expert talks on graph database storage, query languages, practical implementation, and large‑scale financial knowledge graph platforms, offering attendees deep technical insights and hands‑on guidance.

Big DataKnowledge Graphdata storage
0 likes · 8 min read
Graph Database Storage and Knowledge Graph Practices – Forum Overview
DataFunSummit
DataFunSummit
Mar 4, 2023 · Artificial Intelligence

Graph Neural Network-Based Knowledge Graph Reasoning – Talk by Zhang Yongqi at DataFun Summit 2023

On March 18, 2023, Dr. Zhang Yongqi will deliver an online talk at DataFun Summit 2023 about knowledge‑graph reasoning using graph neural networks, covering recent advances, applications, challenges, and offering free registration for participants interested in AI and knowledge‑graph technologies.

AIDataFunGraph Neural Network
0 likes · 4 min read
Graph Neural Network-Based Knowledge Graph Reasoning – Talk by Zhang Yongqi at DataFun Summit 2023
DataFunSummit
DataFunSummit
Feb 16, 2023 · Artificial Intelligence

Curated Collection of Articles on AI‑Powered Smart Medicine

This guide introduces the challenges in healthcare, explains how artificial intelligence is already reshaping the field, and provides a curated list of recent articles on smart medicine for readers to explore the emerging AI‑healthcare integration.

AIBig DataHealthcare
0 likes · 4 min read
Curated Collection of Articles on AI‑Powered Smart Medicine
HomeTech
HomeTech
Dec 9, 2022 · Artificial Intelligence

Interview with Li Benyang: AI, Knowledge Graphs, and Career Insights in Intelligent Recommendation

In this interview, Li Benyang, head of the intelligent recommendation content understanding team at Autohome, shares his AI background, the evolution of recommendation systems, knowledge‑graph construction for automotive content, career choices between big firms and startups, and practical advice for technologists navigating fast‑changing industries.

AIKnowledge GraphRecommendation Systems
0 likes · 12 min read
Interview with Li Benyang: AI, Knowledge Graphs, and Career Insights in Intelligent Recommendation
DataFunTalk
DataFunTalk
Nov 26, 2022 · Artificial Intelligence

Human‑Centric Design for AI/NLP Document Extraction and Knowledge‑Graph Deployment

The article explains how combining human expertise with AI techniques—through problem decomposition, model selection, feature engineering, and knowledge‑graph construction—enables practical NLP solutions for document extraction and intelligent Q&A, illustrating the process with contract‑field extraction case studies.

AIDocument ExtractionHuman-in-the-Loop
0 likes · 14 min read
Human‑Centric Design for AI/NLP Document Extraction and Knowledge‑Graph Deployment
DataFunTalk
DataFunTalk
Nov 4, 2022 · Artificial Intelligence

Explainable Knowledge Graph Reasoning: Background, Advances, Motivation, Recent Research, and Outlook

This article reviews explainable knowledge graph reasoning, covering its background, core concepts, downstream applications, major reasoning methods, motivations for interpretability, recent advances such as hierarchical and Bayesian reinforcement learning, meta‑path mining, and future research directions.

Knowledge Graphexplainable AIgraph reasoning
0 likes · 18 min read
Explainable Knowledge Graph Reasoning: Background, Advances, Motivation, Recent Research, and Outlook
DataFunTalk
DataFunTalk
Sep 30, 2022 · Artificial Intelligence

Applying Knowledge Graphs to Scene Understanding in Meituan's Hotel and Travel Search

This presentation details how Meituan leverages knowledge‑graph technology to model hotel and travel business characteristics, perform scene cognition, build a multi‑layer knowledge graph, and design a five‑stage search architecture that combines precise and generic queries with AI‑driven ranking and explainable recommendation techniques.

AIKnowledge GraphMeituan
0 likes · 21 min read
Applying Knowledge Graphs to Scene Understanding in Meituan's Hotel and Travel Search
DataFunTalk
DataFunTalk
Sep 26, 2022 · Artificial Intelligence

Intelligent Entity Recommendation in Search Scenarios: Architecture, Relevance, Sparse Data Recall, and Multi‑Domain Strategies

This article presents a comprehensive overview of intelligent entity recommendation for search, covering scenario introduction, relevance modeling, handling sparse query and entity data with graph‑based methods, and multi‑domain, multi‑scenario ranking techniques to improve user experience.

Knowledge GraphMulti-domainSearch
0 likes · 15 min read
Intelligent Entity Recommendation in Search Scenarios: Architecture, Relevance, Sparse Data Recall, and Multi‑Domain Strategies
DataFunTalk
DataFunTalk
Sep 25, 2022 · Artificial Intelligence

Personalized News Recommendation System Based on Knowledge Graphs

This talk presents a personalized news recommendation system that leverages knowledge graphs to enhance recommendation accuracy, explainability, and user interest modeling, detailing background, graph construction methods, multi‑task deep learning architecture, experimental results, and future research directions.

Graph ConstructionKnowledge Graphdeep learning
0 likes · 22 min read
Personalized News Recommendation System Based on Knowledge Graphs
Zuoyebang Tech Team
Zuoyebang Tech Team
Sep 23, 2022 · Artificial Intelligence

How AI Powers K‑12 Education: Insights from a Chief Algorithm Expert

In this interview, the chief algorithm expert at Zuoyebang discusses how AI technologies such as NLP, speech recognition, large‑model pre‑training, and knowledge‑graph construction are applied to K‑12 education, covering practical challenges, deployment strategies, and future research directions.

AIEducation TechnologyKnowledge Graph
0 likes · 27 min read
How AI Powers K‑12 Education: Insights from a Chief Algorithm Expert
DataFunTalk
DataFunTalk
Sep 21, 2022 · Artificial Intelligence

XiaoAi Intelligent QA: Information Extraction, Event Extraction, and Knowledge Graph Question Answering

This presentation details the XiaoAi intelligent assistant’s QA system, covering its application scenarios, information extraction techniques (including relation and event extraction with SPO/PSO models), graph‑based question answering methods, cross‑domain slot extraction, path retrieval, and practical Q&A insights.

AIGraph QAKnowledge Graph
0 likes · 18 min read
XiaoAi Intelligent QA: Information Extraction, Event Extraction, and Knowledge Graph Question Answering
DataFunTalk
DataFunTalk
Sep 18, 2022 · Artificial Intelligence

Applying Graph Machine Learning in Ant Group's Recommendation System

This article presents how Ant Group leverages graph machine learning, including knowledge graph, social network, and cross-domain techniques, to enhance recommendation for low-activity users across scenarios such as fund, coupon, and waistband recommendations, detailing model architecture, challenges, solutions, and experimental results.

GNNKnowledge Graphgraph learning
0 likes · 13 min read
Applying Graph Machine Learning in Ant Group's Recommendation System
DataFunTalk
DataFunTalk
Sep 13, 2022 · Artificial Intelligence

Intelligent Question Answering in QQ Browser Search: Background, Key Technologies, and Frontier Research

This article presents an in‑depth overview of intelligent question answering in QQ Browser search, covering its background, the core KBQA and DeepQA technologies, system architecture, challenges, recent advances such as end‑to‑end, knowledge‑guided and multimodal QA, and practical Q&A for deployment.

AIKnowledge GraphSearch
0 likes · 22 min read
Intelligent Question Answering in QQ Browser Search: Background, Key Technologies, and Frontier Research
DataFunTalk
DataFunTalk
Aug 24, 2022 · Databases

Building Intelligent Supply Chains with Graph Databases and Knowledge Graphs

This article explains how the data challenges of modern intelligent supply chains can be addressed by using graph databases and knowledge graphs, detailing supply chain background, graph database fundamentals, graph algorithms, and real‑world case studies that illustrate risk assessment and logistics optimization.

Graph DatabaseKnowledge GraphNeo4j
0 likes · 18 min read
Building Intelligent Supply Chains with Graph Databases and Knowledge Graphs
ITPUB
ITPUB
Aug 20, 2022 · Databases

Unlocking Knowledge Graphs: From Basics to Real‑World Applications

This article introduces the fundamentals of knowledge graphs, explores their research dimensions—including knowledge engineering, NLP, databases, and machine learning—examines graph database storage models, discusses their relevance to AI and big data, and showcases the authors' own graph‑based projects and case studies.

AIGraph DatabaseKnowledge Graph
0 likes · 14 min read
Unlocking Knowledge Graphs: From Basics to Real‑World Applications
Meituan Technology Team
Meituan Technology Team
Aug 18, 2022 · Artificial Intelligence

Highlights of Meituan’s KDD 2022 Papers

This article presents concise introductions and download links for seven Meituan research papers accepted at KDD 2022, covering knowledge‑graph pre‑training, automatic feature and architecture selection for pre‑ranking, user intent discovery, persuasion factor modeling, counterfactual policy learning for top‑K recommendation, probabilistic forecasting of food preparation time, and a multi‑stage bonus allocation framework for meal delivery.

KDD 2022Knowledge Graphbonus allocation
0 likes · 15 min read
Highlights of Meituan’s KDD 2022 Papers
DataFunTalk
DataFunTalk
Aug 11, 2022 · Databases

Fundamentals of Knowledge Graphs, Graph Databases, and Their Applications in AI and Big Data

This article introduces the basic concepts of knowledge graphs, explores their research dimensions across knowledge engineering, natural language processing, databases and machine learning, discusses graph database storage models and their integration with artificial intelligence and big data, and presents related projects and real‑world case studies.

Big DataGraph DatabaseKnowledge Graph
0 likes · 13 min read
Fundamentals of Knowledge Graphs, Graph Databases, and Their Applications in AI and Big Data
DataFunSummit
DataFunSummit
Jul 29, 2022 · Artificial Intelligence

Integrating Knowledge Graphs with Neural Networks: Generative Pre‑Training, Differentiable Reasoning, and Fuzzy Logic Query Embedding

This article reviews recent work on combining knowledge graphs with neural networks, covering generative self‑supervised graph neural network pre‑training, differentiable logical reasoning over graphs, and a fuzzy‑logic based query‑embedding model that improves open‑domain question answering, especially for rare relations.

Graph Neural NetworkKnowledge GraphOpen Domain QA
0 likes · 22 min read
Integrating Knowledge Graphs with Neural Networks: Generative Pre‑Training, Differentiable Reasoning, and Fuzzy Logic Query Embedding
DataFunTalk
DataFunTalk
Jul 27, 2022 · Artificial Intelligence

The 16th National Conference on Knowledge Graphs and Semantic Computing (CCKS 2022) – Overview and Details

The 16th National Knowledge Graph and Semantic Computing Conference (CCKS 2022) organized by the Chinese Society of Chinese Information and hosted by Yanshan University runs from August 24‑27, 2022 in Qinhuangdao, featuring a theme of knowledge graphs empowering the digital economy, multiple academic and industry tracks, poster and demo calls, and registration details.

AIDigital EconomyForum
0 likes · 5 min read
The 16th National Conference on Knowledge Graphs and Semantic Computing (CCKS 2022) – Overview and Details
DataFunSummit
DataFunSummit
Jul 26, 2022 · Artificial Intelligence

Multi-step Reasoning over Large-scale Knowledge Graphs: Query2Box and SMORE Framework

This talk presents recent advances in multi-step reasoning over large-scale, noisy knowledge graphs, introducing the Query2Box model that uses box embeddings for complex queries and the SMORE framework that enables efficient multi-hop inference on massive graphs through scalable query generation, embedding computation, and training pipelines.

AIKnowledge GraphMulti-hop reasoning
0 likes · 14 min read
Multi-step Reasoning over Large-scale Knowledge Graphs: Query2Box and SMORE Framework
DataFunSummit
DataFunSummit
Jul 24, 2022 · Artificial Intelligence

Construction and Applications of a Traditional Chinese Medicine Knowledge Graph

This report details the concept, systematic construction process, and diverse applications of a large‑scale Traditional Chinese Medicine (TCM) knowledge graph, illustrating how semantic standards, ontology engineering, and graph databases enable intelligent retrieval, recommendation, and clinical decision support across multiple TCM sub‑domains.

AIKnowledge GraphTCM
0 likes · 15 min read
Construction and Applications of a Traditional Chinese Medicine Knowledge Graph
DataFunSummit
DataFunSummit
Jul 13, 2022 · Artificial Intelligence

Construction and Application of Meituan's Life Service Knowledge Graph

This article details Meituan's "Meituan Brain" initiative, describing the roadmap and techniques for building large-scale life‑service knowledge graphs—including tag and dish graphs—through data mining, semantic extraction, synonym discovery, graph neural networks, and their integration into search, recommendation, and question‑answering systems.

AIGraph Neural NetworkKnowledge Graph
0 likes · 14 min read
Construction and Application of Meituan's Life Service Knowledge Graph
DataFunTalk
DataFunTalk
Jul 13, 2022 · Databases

Technical Analysis and Case Studies of Knowledge Graphs by Neo4j

This presentation explains where knowledge resides in data architectures, demonstrates knowledge‑graph‑driven skill discovery, metadata management, and semantic search, and concludes with a comparison of GraphQL and Cypher for graph queries, illustrated with real‑world Neo4j case studies.

CypherGraph DatabaseGraphQL
0 likes · 11 min read
Technical Analysis and Case Studies of Knowledge Graphs by Neo4j
DataFunSummit
DataFunSummit
Jul 10, 2022 · Artificial Intelligence

Intelligent Industry Analysis Tool Based on Knowledge Graphs and Industry Atoms

This article introduces VentureSights, an AI‑driven intelligent industry analysis platform built on knowledge‑graph technology and the concept of industry atoms, detailing its core modules, workflow, industry‑atom representation, extraction algorithms, and overall system architecture for generating comprehensive industry reports and insights.

Artificial IntelligenceKnowledge Graphgraph embedding
0 likes · 12 min read
Intelligent Industry Analysis Tool Based on Knowledge Graphs and Industry Atoms
DataFunTalk
DataFunTalk
Jul 9, 2022 · Artificial Intelligence

Education Knowledge Graph: Opportunities and Challenges

The article provides a comprehensive overview of education knowledge graphs, explaining their definition, significance, diverse application scenarios such as smart textbooks, deep reading, subject insight, and intelligent services, while also analyzing technical challenges like data heterogeneity, granularity, multimodality, quality control, and proposing future research directions.

Artificial IntelligenceIntelligent TutoringKnowledge Graph
0 likes · 25 min read
Education Knowledge Graph: Opportunities and Challenges
DataFunSummit
DataFunSummit
Jul 9, 2022 · Artificial Intelligence

Knowledge Graph Application Cases: Meituan Brain, Sage Knowledge Base, and Other Industry Examples

This article presents several mature knowledge‑graph application cases, including Meituan’s large‑scale “Meituan Brain” for lifestyle services, the Sage Knowledge Base platform by Fourth Paradigm, and additional examples in recommendation, medical, QA, and power‑industry domains, highlighting methods, challenges, and model designs.

AIGraph Neural NetworkKnowledge Graph
0 likes · 11 min read
Knowledge Graph Application Cases: Meituan Brain, Sage Knowledge Base, and Other Industry Examples
DataFunSummit
DataFunSummit
Jul 6, 2022 · Artificial Intelligence

Knowledge Graph Application Cases: Meituan Brain, Sage Knowledge Base, and Other Industry Scenarios

This article reviews several mature knowledge‑graph applications, describing Meituan’s large‑scale “Meituan Brain” for lifestyle services, the Fourth Paradigm’s Sage Knowledge Base platform with various representation‑learning models, and additional use cases in recommendation, QA, drug discovery, and power‑grid domains.

AI applicationsGraph Neural NetworkKnowledge Graph
0 likes · 11 min read
Knowledge Graph Application Cases: Meituan Brain, Sage Knowledge Base, and Other Industry Scenarios
DataFunTalk
DataFunTalk
Jul 1, 2022 · Artificial Intelligence

Building and Scaling Ant Group's Merchant Knowledge Graph: Architecture, Construction, Fusion, and Open Platform

This article describes Ant Group's merchant knowledge graph, covering its background, overall architecture, data sources, schema design, processing pipeline, cross‑graph fusion techniques, cognitive applications such as vector‑based recall, and the upcoming open‑source and SDK initiatives aimed at sharing the knowledge and tools with the community.

AIKnowledge GraphOpen Source
0 likes · 20 min read
Building and Scaling Ant Group's Merchant Knowledge Graph: Architecture, Construction, Fusion, and Open Platform
DataFunTalk
DataFunTalk
Jun 30, 2022 · Artificial Intelligence

Building and Applying an Enterprise Relationship Knowledge Graph

This article presents a comprehensive case study on constructing an enterprise relationship knowledge graph for financial technology, detailing data preparation, ontology modeling, graph building, and three practical applications—path query, ultimate controller discovery, and group detection—demonstrating how AI-driven graph analytics can uncover hidden corporate connections.

AIEnterprise DataKnowledge Graph
0 likes · 11 min read
Building and Applying an Enterprise Relationship Knowledge Graph
DataFunSummit
DataFunSummit
Jun 26, 2022 · Artificial Intelligence

Applying Knowledge Graphs to Recruitment: Construction, Tag Mining, and Recommendation at 58.com

58.com’s NLP senior engineer explains how a recruitment knowledge graph is built—through multi‑dimensional tag systems, tag mining, and relation extraction—and how it enhances bidirectional matching and recommendation efficiency, addressing challenges such as weak expression, cold start, and supply‑demand imbalance.

AIKnowledge GraphNLP
0 likes · 17 min read
Applying Knowledge Graphs to Recruitment: Construction, Tag Mining, and Recommendation at 58.com
DataFunSummit
DataFunSummit
Jun 21, 2022 · Artificial Intelligence

JiuGe: An Automatic Chinese Classical Poetry Generation System – Algorithms and Research Overview

This article presents the JiuGe system developed by THUNLP for automatically generating Chinese classical poetry, detailing its research motivations, model architecture—including salient‑clue, working‑memory, topic‑memory, style‑transfer and reinforcement‑learning components—implementation, applications, and future directions.

Artificial IntelligenceKnowledge GraphPoetry Generation
0 likes · 18 min read
JiuGe: An Automatic Chinese Classical Poetry Generation System – Algorithms and Research Overview
DataFunSummit
DataFunSummit
Jun 17, 2022 · Artificial Intelligence

Applying Knowledge Graphs to Meituan's Recommendation System

This talk explains how Meituan builds and leverages a massive lifestyle-domain knowledge graph to improve LBS recommendation, covering explicit and implicit graph applications, challenges such as explainability and data sparsity, and advanced models like dual‑memory networks and cross‑domain learning.

AIKnowledge GraphMeituan
0 likes · 15 min read
Applying Knowledge Graphs to Meituan's Recommendation System
DataFunTalk
DataFunTalk
Jun 17, 2022 · Artificial Intelligence

OPPO Knowledge Graph: Algorithms, Applications, and Future Directions

This article presents OPPO's large‑scale knowledge graph, detailing the algorithmic challenges and solutions for entity classification, alignment, information extraction, and query parsing, and explains how these techniques power the XiaoBu assistant's knowledge‑based QA, search, and recommendation services while outlining future research directions.

AIKnowledge GraphOPPO
0 likes · 18 min read
OPPO Knowledge Graph: Algorithms, Applications, and Future Directions
Ctrip Technology
Ctrip Technology
Jun 16, 2022 · Artificial Intelligence

Entity Linking System for Travel Knowledge Graph at Ctrip AI R&D

The article presents Ctrip's travel AI team's end‑to‑end entity linking solution built on a large‑scale tourism knowledge graph, detailing its background, technical architecture, core modules—including mention detection, candidate generation, and disambiguation using BERT and prefix‑tree techniques—and real‑world applications such as search, intelligent客服, and POI data maintenance.

BERTKnowledge GraphNLP
0 likes · 18 min read
Entity Linking System for Travel Knowledge Graph at Ctrip AI R&D
DataFunTalk
DataFunTalk
Jun 13, 2022 · Artificial Intelligence

JD Technology Financial Causal Knowledge Graph: Construction, Causal Extraction, and Alignment Techniques

This article presents JD Technology's recent research on financial causal knowledge graphs, detailing the overall knowledge‑graph architecture, data layers, causal relation extraction, argument extraction, and graph‑alignment methods, and discusses their applications in finance, intelligent research reports, and industry‑leader recommendation.

Financial AIGraph AlignmentKnowledge Graph
0 likes · 18 min read
JD Technology Financial Causal Knowledge Graph: Construction, Causal Extraction, and Alignment Techniques
DataFunTalk
DataFunTalk
Jun 11, 2022 · Artificial Intelligence

Explainable Recommendation: Background, Development, Graph‑Based Structured Explanations, and Natural Language Generation Advances

This article reviews the emerging field of explainable recommendation, covering its motivation, historical evolution from template‑based to knowledge‑graph and generative‑language approaches, recent advances in graph‑structured and natural‑language explanations, key research works, industrial applications, and open challenges such as fact‑checking, low‑resource settings, and evaluation methods.

AIKnowledge Graphexplainable recommendation
0 likes · 16 min read
Explainable Recommendation: Background, Development, Graph‑Based Structured Explanations, and Natural Language Generation Advances
DataFunTalk
DataFunTalk
Jun 8, 2022 · Artificial Intelligence

Integrating Knowledge Graphs with Neural Networks: Generative Pre‑Training, Differentiable Reasoning, and Fuzzy Logic Query Embedding

This article reviews recent advances in combining knowledge graphs with neural networks, covering generative pre‑training of graph neural networks, wiki‑graph based open‑domain question answering, differentiable logical reasoning, and a fuzzy‑logic query‑embedding model that improves performance on sparse‑relation queries.

Artificial IntelligenceKnowledge GraphOpen Domain QA
0 likes · 23 min read
Integrating Knowledge Graphs with Neural Networks: Generative Pre‑Training, Differentiable Reasoning, and Fuzzy Logic Query Embedding
DataFunTalk
DataFunTalk
Jun 3, 2022 · Artificial Intelligence

Construction and Application of Meituan's Life‑Service Knowledge Graph

This article explains Meituan's 'Meituan Brain' initiative, detailing the construction of life‑service knowledge graphs—including tag and dish graphs—through data mining, semantic extraction, synonym discovery, graph labeling, and applications such as open QA, search ranking, and recommendation using AI and GNN techniques.

AIGraph Neural NetworkKnowledge Graph
0 likes · 13 min read
Construction and Application of Meituan's Life‑Service Knowledge Graph
DataFunSummit
DataFunSummit
May 28, 2022 · Artificial Intelligence

Construction and Application of a Power Industry Knowledge Graph

This article outlines the development of a power‑sector knowledge graph by China Electric Power Research Institute, covering the AI institute overview, the background of power knowledge engineering, methods for representation and ontology construction, practical applications in dispatch, inspection and customer service, and future challenges.

Artificial IntelligenceKnowledge Graphdomain ontology
0 likes · 30 min read
Construction and Application of a Power Industry Knowledge Graph
Architects Research Society
Architects Research Society
May 24, 2022 · Big Data

Understanding Data Fabric: Key Pillars for Data & Analytics Leaders

The article explains the emerging concept of Data Fabric (data weaving), its design principles, how it integrates metadata, knowledge graphs, and AI/ML to automate data integration across hybrid and multi‑cloud environments, and outlines four essential pillars that leaders must master to deliver business value.

AI/MLData FabricKnowledge Graph
0 likes · 8 min read
Understanding Data Fabric: Key Pillars for Data & Analytics Leaders
DataFunSummit
DataFunSummit
May 18, 2022 · Artificial Intelligence

Automated Knowledge Graph Representation Learning: From Triples to Subgraphs

This talk introduces automated knowledge graph representation learning, covering background, key techniques such as triple‑based, path‑based and subgraph‑based models, AutoML‑driven model search (AutoSF, Interstellar, RED‑GNN), evaluation metrics, and future research directions in AI.

AutoMLEmbeddingKnowledge Graph
0 likes · 21 min read
Automated Knowledge Graph Representation Learning: From Triples to Subgraphs
DataFunTalk
DataFunTalk
May 16, 2022 · Artificial Intelligence

Applying Knowledge Graphs to Meituan's Recommendation System: Architecture, Challenges, and Future Directions

This article presents Meituan's large‑scale knowledge graph, its integration into location‑based recommendation, the challenges of explainability, domain diversity, data sparsity and spatiotemporal complexity, and describes a dual‑memory neural network and cross‑domain learning approach that improve recall, ranking and recommendation fairness.

AIKnowledge Graphcross-domain learning
0 likes · 15 min read
Applying Knowledge Graphs to Meituan's Recommendation System: Architecture, Challenges, and Future Directions
DataFunTalk
DataFunTalk
May 12, 2022 · Artificial Intelligence

Construction and Application of Power Industry Knowledge Graphs

This article introduces the AI Institute of China Electric Power Research Institute, outlines the background, core concepts, and development of power sector knowledge engineering, details knowledge representation, ontology construction, and graph building methods, and discusses practical applications and future challenges of power domain knowledge graphs.

Artificial IntelligenceKnowledge Graphdomain ontology
0 likes · 29 min read
Construction and Application of Power Industry Knowledge Graphs
DataFunTalk
DataFunTalk
May 8, 2022 · Artificial Intelligence

Automated Knowledge Graph Representation Learning: From Triples to Subgraphs

This talk introduces the background, key directions, and model designs for automated knowledge‑graph representation learning, covering triple‑based, path‑based, and subgraph‑based approaches, the role of AutoML in searching optimal bilinear scoring functions, and future research challenges such as scalability, inductive inference, and domain‑specific applications.

AutoMLEmbeddingKnowledge Graph
0 likes · 20 min read
Automated Knowledge Graph Representation Learning: From Triples to Subgraphs
DataFunTalk
DataFunTalk
May 2, 2022 · Artificial Intelligence

RNNLogic: Learning Logic Rules for Knowledge Graph Reasoning

This article reviews recent advances in knowledge graph reasoning, introduces the RNNLogic framework that jointly learns a rule‑generating LSTM and a stochastic logic programming predictor, and demonstrates its competitive performance and interpretability on benchmark datasets while outlining future neural‑symbolic directions.

AIKnowledge GraphRNNLogic
0 likes · 10 min read
RNNLogic: Learning Logic Rules for Knowledge Graph Reasoning
DataFunTalk
DataFunTalk
Apr 29, 2022 · Artificial Intelligence

Knowledge‑Enhanced Product Understanding with Meituan Brain: Building and Applying a Large‑Scale Product Knowledge Graph

This talk presents Meituan Brain's massive product knowledge graph, explains how knowledge‑enhanced models improve product title parsing, category association and sample governance, and demonstrates the resulting gains in search, recommendation and other downstream services while keeping the system online‑controllable and explainable.

AIKnowledge GraphMeituan
0 likes · 22 min read
Knowledge‑Enhanced Product Understanding with Meituan Brain: Building and Applying a Large‑Scale Product Knowledge Graph
DataFunTalk
DataFunTalk
Apr 18, 2022 · Artificial Intelligence

Call for Resource Track Papers – 2022 China National Knowledge Graph and Semantic Computing Conference (CCKS 2022)

The 2022 CCKS conference invites submissions of open‑resource papers on knowledge graphs and semantic computing, offering details on submission deadlines, required paper length, evaluation criteria, example resources, chairs, important dates, and links to templates and the EasyChair submission portal.

AIKnowledge Graphcall for papers
0 likes · 6 min read
Call for Resource Track Papers – 2022 China National Knowledge Graph and Semantic Computing Conference (CCKS 2022)
Meituan Technology Team
Meituan Technology Team
Apr 14, 2022 · Frontend Development

Knowledge Graph Visualization Practices and Solutions at Meituan

This article details Meituan's end‑to‑end practice of knowledge‑graph visualization, covering basic concepts, scenario analysis, D3.js‑based architecture, layout optimization, visual‑noise reduction, rich interaction features, 3D extensions, real‑world deployments and future research directions.

3D force graphD3.jsKnowledge Graph
0 likes · 25 min read
Knowledge Graph Visualization Practices and Solutions at Meituan
DataFunSummit
DataFunSummit
Apr 11, 2022 · Artificial Intelligence

Exploring QQ Music Recall Algorithms: Knowledge‑Graph Fusion, Sequence & Multi‑Interest Modeling, Audio Recall, and Federated Learning

This article presents a comprehensive overview of QQ Music's recall pipeline, detailing business characteristics, challenges such as noisy user behavior and cold‑start, and four major solutions—including knowledge‑graph‑enhanced recall, sequence‑based and multi‑interest modeling, audio‑based recall, and federated learning—along with practical insights and Q&A.

Audio EmbeddingKnowledge GraphRecommendation Systems
0 likes · 19 min read
Exploring QQ Music Recall Algorithms: Knowledge‑Graph Fusion, Sequence & Multi‑Interest Modeling, Audio Recall, and Federated Learning
DataFunTalk
DataFunTalk
Mar 28, 2022 · Artificial Intelligence

Construction and Application of Meituan's On‑site Comprehensive Knowledge Graph

This article introduces Meituan's on‑site comprehensive knowledge graph, detailing its multi‑layer design, data‑driven construction pipeline, challenges of diverse user demands and industry complexity, and showcases practical applications in search, recommendation, intelligent display, as well as future expansion plans.

Knowledge GraphMachine LearningMeituan
0 likes · 22 min read
Construction and Application of Meituan's On‑site Comprehensive Knowledge Graph
DataFunSummit
DataFunSummit
Feb 27, 2022 · Artificial Intelligence

Dxm Eros: A Massive‑Scale Graph Platform for Financial Risk Control

This article introduces the Dxm Eros ultra‑large graph platform, explains its architecture, storage, analysis, modeling and visualization capabilities, and demonstrates how graph‑based machine learning is applied to fintech risk control, anti‑fraud, anti‑money‑laundering and automated audit workflows.

AIFinTechGraph Database
0 likes · 17 min read
Dxm Eros: A Massive‑Scale Graph Platform for Financial Risk Control
DataFunSummit
DataFunSummit
Feb 26, 2022 · Artificial Intelligence

Graph-Based Sparse Behavior Recall Models for Content Recommendation

This article presents a comprehensive study of graph‑based recall techniques for content recommendation, detailing how knowledge‑graph‑augmented user‑behavior graphs and novel attention‑driven models such as GADM, SGGA, and SGGGA improve performance for users with sparse interaction histories.

Knowledge GraphRecommendation Systemsattention mechanism
0 likes · 11 min read
Graph-Based Sparse Behavior Recall Models for Content Recommendation
DataFunSummit
DataFunSummit
Feb 25, 2022 · Artificial Intelligence

Knowledge Graph Representation and Reasoning Forum at DataFun Summit 2022

The DataFun Summit 2022 Knowledge Graph Forum, held on March 12, presents cutting‑edge research on knowledge graph representation learning, multi‑hop reasoning, temporal KG question answering, and their applications in finance and retail, featuring talks by leading experts from JD, Fourth Paradigm, Stanford, and Meituan.

AI applicationsKnowledge GraphMulti-hop reasoning
0 likes · 9 min read
Knowledge Graph Representation and Reasoning Forum at DataFun Summit 2022
DaTaobao Tech
DaTaobao Tech
Feb 22, 2022 · Artificial Intelligence

Graph-based Deep Recall Models for Sparse User Behavior in Content Recommendation

The paper proposes graph‑based deep recall models that enrich sparse user behavior sequences in video recommendation by integrating content knowledge graphs and adaptive attention mechanisms, demonstrating that variants such as GADM, SGGA, and SGGGA significantly boost click‑through rates in online experiments.

Knowledge GraphRecommendation Systemsattention
0 likes · 11 min read
Graph-based Deep Recall Models for Sparse User Behavior in Content Recommendation
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.

AIEmbeddingGraph Neural Network
0 likes · 12 min read
Advances in E‑commerce Search: Embedding, Knowledge Graphs, and Retrieval Models
DataFunTalk
DataFunTalk
Feb 8, 2022 · Artificial Intelligence

Large-Scale Graph Platform Dxm Eros for Financial Risk Control

This article introduces the Dxm Eros ultra‑large graph platform, detailing its architecture, storage, analysis, modeling, and visualization modules, and demonstrates how graph machine‑learning techniques are applied to financial risk control, fraud detection, anti‑money‑laundering, and automated credit review.

AIGraph DatabaseKnowledge Graph
0 likes · 18 min read
Large-Scale Graph Platform Dxm Eros for Financial Risk Control
DataFunTalk
DataFunTalk
Feb 4, 2022 · Databases

Exploring Tencent Music's Knowledge Graph: Architecture, Database Selection, and Search Applications

This article details Tencent Music's music knowledge graph, covering data classification, graph database evaluation, system architecture, online and offline data pipelines, advanced search use cases, and practical business scenarios, illustrating how graph technology enhances intelligent retrieval and recommendation.

Graph DatabaseKnowledge GraphNebulaGraph
0 likes · 11 min read
Exploring Tencent Music's Knowledge Graph: Architecture, Database Selection, and Search Applications
DataFunTalk
DataFunTalk
Feb 2, 2022 · Artificial Intelligence

UGC Sentiment Analysis Solutions and Applications in Taobao

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

Knowledge GraphSentiment AnalysisUGC
0 likes · 16 min read
UGC Sentiment Analysis Solutions and Applications in Taobao
YunZhu Net Technology Team
YunZhu Net Technology Team
Jan 26, 2022 · Databases

Graph Database Selection and NebulaGraph Architecture for a Knowledge‑Graph Platform

The article explains how the cloud‑construction platform evaluated graph‑database options based on open‑source, scalability, latency, storage capacity and import capabilities, ultimately choosing NebulaGraph, and then details NebulaGraph’s distributed meta, storage and query services as well as the overall multi‑layer knowledge‑graph platform architecture and future application scenarios.

Graph DatabaseKnowledge GraphNebulaGraph
0 likes · 11 min read
Graph Database Selection and NebulaGraph Architecture for a Knowledge‑Graph Platform
DataFunTalk
DataFunTalk
Jan 12, 2022 · Artificial Intelligence

Advances in Knowledge Graph Construction: AI Development, Named Entity Recognition, Relation Extraction, and Attribute Completion

This technical report presents a comprehensive overview of artificial intelligence evolution, knowledge‑graph construction techniques—including traditional, cross‑lingual and reading‑comprehension based named entity recognition, weak‑supervised and joint relation extraction, attribute completion via multi‑source cues, and conditional knowledge‑graph modeling—highlighting recent research findings and experimental results.

AI developmentKnowledge GraphMachine Learning
0 likes · 20 min read
Advances in Knowledge Graph Construction: AI Development, Named Entity Recognition, Relation Extraction, and Attribute Completion
DataFunTalk
DataFunTalk
Jan 9, 2022 · Artificial Intelligence

Information Extraction for Unstructured Text: From Closed to Open

This presentation reviews the concepts, tasks, and challenges of information extraction from unstructured text, covering closed and open settings, relation extraction, joint extraction, and open extraction methods, and discusses recent advances such as segment‑attention, global‑rationale models, ETL, TPLinker, and maximal‑clique based approaches with experimental results.

Knowledge Graphinformation extractionjoint extraction
0 likes · 18 min read
Information Extraction for Unstructured Text: From Closed to Open
DataFunTalk
DataFunTalk
Dec 29, 2021 · Artificial Intelligence

Entity Alignment in Product Knowledge Graphs: Techniques and Applications

This article presents a comprehensive overview of building and applying product knowledge graphs for e‑commerce, covering background, recent advances in graph neural network‑based entity alignment, online prediction pipelines, data construction, evaluation metrics, attribute extraction, and future research directions.

Graph Neural NetworkKnowledge Graphattribute extraction
0 likes · 23 min read
Entity Alignment in Product Knowledge Graphs: Techniques and Applications
DataFunTalk
DataFunTalk
Dec 26, 2021 · Artificial Intelligence

Neural–Symbolic Learning and Multimodal Knowledge Discovery: Recent Advances, Methods, and Challenges

This talk reviews recent progress in neural‑symbolic learning and multimodal knowledge discovery, highlighting examples such as GPT‑3 reasoning failures, the need for symbolic knowledge, historical developments, various integration methods, challenges in multimodal knowledge graphs, and future research directions.

AIKnowledge GraphMachine Learning
0 likes · 20 min read
Neural–Symbolic Learning and Multimodal Knowledge Discovery: Recent Advances, Methods, and Challenges
Beike Product & Technology
Beike Product & Technology
Dec 23, 2021 · Artificial Intelligence

Highlights from the CNCC 2021 Knowledge Graph and Graph Machine Learning Forum

The CNCC 2021 forum brought together leading academics and industry experts to discuss advances in graph neural networks, graph computing for quantum chemistry, and practical applications of knowledge‑graph reasoning in sectors such as real‑estate and online video, showcasing both research breakthroughs and industrial deployment strategies.

Artificial IntelligenceKnowledge GraphMachine Learning
0 likes · 8 min read
Highlights from the CNCC 2021 Knowledge Graph and Graph Machine Learning Forum
DataFunSummit
DataFunSummit
Dec 8, 2021 · Artificial Intelligence

Knowledge Graph Forum at DataFunCon – Speakers, Topics, and Registration Details

The DataFunCon Knowledge Graph Forum on December 18 gathers leading experts from academia and industry to discuss large‑scale knowledge graph construction, storage, applications, and challenges, offering attendees insights into cutting‑edge AI techniques, graph databases, and practical deployment strategies across multiple domains.

Artificial IntelligenceKnowledge Graphgraph databases
0 likes · 11 min read
Knowledge Graph Forum at DataFunCon – Speakers, Topics, and Registration Details
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 AcademyKnowledge Graph
0 likes · 11 min read
NLG Solutions for E‑commerce: DAMO Academy’s XGeneration, Word2Text, KG2Text, and Metaphor Generation
DataFunTalk
DataFunTalk
Dec 1, 2021 · Artificial Intelligence

Awesome Knowledge Graph Resources: Papers, Tools, Datasets, and Projects

This article presents a curated collection of high‑star GitHub "awesome" repositories covering knowledge graph fundamentals, relation extraction, KG‑QA, graph construction, graph neural networks, dynamic graph learning, and multimodal knowledge graphs, providing links, summaries, and key resources for researchers and practitioners.

AI resourcesAwesome ListKnowledge Graph
0 likes · 12 min read
Awesome Knowledge Graph Resources: Papers, Tools, Datasets, and Projects
DataFunSummit
DataFunSummit
Nov 27, 2021 · Artificial Intelligence

Knowledge Graph Construction, Applications, and Recent Advances in Entity Linking

This article reviews the fundamentals of knowledge graphs, their practical uses in question answering, search and recommendation, and surveys recent research on entity linking—including dual‑encoder retrieval, BERT‑based models, multilingual approaches, and zero‑shot methods—while also outlining modern knowledge‑graph construction pipelines and open challenges.

Knowledge GraphMachine Learningentity linking
0 likes · 21 min read
Knowledge Graph Construction, Applications, and Recent Advances in Entity Linking
DataFunTalk
DataFunTalk
Nov 14, 2021 · Artificial Intelligence

Knowledge Graph Construction and Entity Linking: Techniques, Applications, and Recent Advances

This article provides a comprehensive overview of knowledge graphs and entity linking, covering their definitions, practical uses in question answering, search and recommendation, the standard pipeline of mention detection, candidate generation and scoring, challenges such as scalability and multilinguality, and recent research advances including dual‑encoder, RELIC, deep retrieval, and multilingual BERT‑based models, followed by a discussion of modern knowledge‑graph construction methods.

AIKnowledge Graphentity linking
0 likes · 21 min read
Knowledge Graph Construction and Entity Linking: Techniques, Applications, and Recent Advances
Meituan Technology Team
Meituan Technology Team
Nov 4, 2021 · Artificial Intelligence

Knowledge-based Question Answering (KBQA) System at Meituan: Design, Challenges, and Solutions

Meituan’s knowledge‑based question answering system tackles diverse, constraint‑rich, multi‑hop queries across pre‑sale, in‑sale and post‑sale scenarios by integrating fine‑grained query understanding, relation recognition, sub‑graph retrieval and answer ranking, employing optimized BERT models, pre‑training tasks, and domain‑specific enhancements to boost response speed, conversion rates, and benchmark performance, while acknowledging remaining challenges in long‑tail and complex queries.

KBQAKnowledge GraphMeituan
0 likes · 24 min read
Knowledge-based Question Answering (KBQA) System at Meituan: Design, Challenges, and Solutions
ByteDance SE Lab
ByteDance SE Lab
Oct 29, 2021 · Artificial Intelligence

What Is a Knowledge Graph? From Basics to Embedding Techniques

This article introduces knowledge graphs, defining them as semantic networks or multi‑relational graphs, explains entities and relations, compares RDF and graph‑database storage, outlines construction steps including entity extraction and ontology building, reviews embedding models like TransE/H/R/D, and explores applications in search, finance, recommendation, and language models.

AIKnowledge Graphgraph embedding
0 likes · 22 min read
What Is a Knowledge Graph? From Basics to Embedding Techniques
Meituan Technology Team
Meituan Technology Team
Oct 28, 2021 · Artificial Intelligence

Supply Standardization for Script‑Murder Business Using a Knowledge Graph

Meituan’s To‑Store Integrated data team built an end‑to‑end supply‑standardization pipeline for the rapidly growing script‑murder market by extending the GENE knowledge graph to mine merchant supply, construct a unified script library through rule‑based, semantic, and multimodal clustering, and link products and user‑generated content to standardized scripts, enabling a dedicated category, personalized recommendations, filter tags, and improved ranking.

BERTKnowledge GraphMultimodal Learning
0 likes · 23 min read
Supply Standardization for Script‑Murder Business Using a Knowledge Graph
DataFunTalk
DataFunTalk
Oct 20, 2021 · Artificial Intelligence

Building an Industry Chain Knowledge Graph: Theory, Architecture, and Key Methods

This article presents a comprehensive overview of constructing an industry‑chain knowledge graph for the financial sector, covering its theoretical background, architectural design, automated building pipeline, key NLP techniques, and practical applications such as visualization, IPO review, and investment analysis.

Industry ChainKnowledge GraphMachine Learning
0 likes · 22 min read
Building an Industry Chain Knowledge Graph: Theory, Architecture, and Key Methods
vivo Internet Technology
vivo Internet Technology
Oct 13, 2021 · Databases

Understanding Graph Databases: Concepts, Trends, and Neo4j Example

The article explains graph databases—where nodes and edges model entities and relationships—covers their query languages, rapid global popularity since 2014, Neo4j’s property‑graph implementation and example knowledge graph, compares alternatives, and urges Chinese researchers to pursue independent theoretical and engineering innovation.

Database TrendsGraph DatabaseIndependent Innovation
0 likes · 6 min read
Understanding Graph Databases: Concepts, Trends, and Neo4j Example
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 IntelligenceKnowledge Graphentity extraction
0 likes · 24 min read
Advances in Knowledge Graph Construction and Applications at Alibaba's AliMe
DataFunTalk
DataFunTalk
Oct 9, 2021 · Artificial Intelligence

CNCC2021 Technical Forum: Knowledge Graphs Empowering Digital Transformation

The CNCC2021 Technical Forum, held from October 28‑30 in Shenzhen, gathers leading experts to discuss knowledge graph construction, large‑scale federated training, cloud‑edge integrated platforms, and trustworthiness, offering insights into how knowledge graphs drive digital transformation across industries.

AICNCC2021Knowledge Graph
0 likes · 15 min read
CNCC2021 Technical Forum: Knowledge Graphs Empowering Digital Transformation
DataFunSummit
DataFunSummit
Oct 2, 2021 · Artificial Intelligence

Joint Entity and Relation Extraction: Methods and Document‑Level Approaches

This presentation reviews the importance of entity‑relation extraction for knowledge‑graph construction, compares sentence‑level and complex contexts, and surveys joint extraction techniques—including sequence labeling, table filling, and seq2seq models—as well as document‑level graph‑based methods and future research directions.

Knowledge GraphNLPdocument-level
0 likes · 15 min read
Joint Entity and Relation Extraction: Methods and Document‑Level Approaches
DataFunTalk
DataFunTalk
Sep 30, 2021 · Artificial Intelligence

Advances in Knowledge Graph Construction and Applications by Alibaba's AliMe Team

This article presents Alibaba's AliMe team's year‑long progress on knowledge graph research, covering the fundamentals of knowledge graphs, domain and multimodal graph construction techniques, practical e‑commerce applications such as dialogue‑driven recommendation, virtual‑anchor script generation, and insights on future directions.

AIKnowledge Graphdialogue system
0 likes · 23 min read
Advances in Knowledge Graph Construction and Applications by Alibaba's AliMe Team
DataFunSummit
DataFunSummit
Sep 29, 2021 · Artificial Intelligence

Construction and Application of Retail Product Knowledge Graph at Meituan

This article describes how Meituan builds a multi‑level, multi‑dimensional retail product knowledge graph to support new‑retail scenarios, detailing its architecture, data acquisition challenges, labeling pipelines, attribute extraction methods, efficiency improvements, human‑machine collaboration, and downstream search and recommendation applications.

AIKnowledge GraphMeituan
0 likes · 25 min read
Construction and Application of Retail Product Knowledge Graph at Meituan
Volcano Engine Developer Services
Volcano Engine Developer Services
Sep 25, 2021 · Artificial Intelligence

Cutting‑Edge AI from ByteDance & OPPO: Audio, NLP, and Translation

The ByteDance Engine Developer Community Meetup featured senior engineers from ByteDance and OPPO who presented the latest advances in intelligent audio signal processing, natural language processing for recommendation, entity linking in knowledge graphs, and multimedia machine translation, highlighting practical applications and performance challenges.

Artificial IntelligenceKnowledge GraphRecommendation Systems
0 likes · 4 min read
Cutting‑Edge AI from ByteDance & OPPO: Audio, NLP, and Translation
DataFunTalk
DataFunTalk
Sep 24, 2021 · Artificial Intelligence

Intelligent Question Answering in QQ Browser Search Engine: KBQA, DeepQA, and IRQA

This article presents the architecture, techniques, and practical solutions behind intelligent question answering in QQ Browser's search engine, covering knowledge‑graph based QA (KBQA), machine‑reading‑comprehension QA (DeepQA), and information‑retrieval QA (IRQA), and discusses system design, model optimization, and future directions.

AIKnowledge Graphinformation retrieval
0 likes · 23 min read
Intelligent Question Answering in QQ Browser Search Engine: KBQA, DeepQA, and IRQA
DataFunTalk
DataFunTalk
Sep 14, 2021 · Artificial Intelligence

Multimodal and Human‑Computer Interaction Technologies for E‑commerce Live Streaming: From Q&A to Live Broadcast

This talk explores how multimodal AI, knowledge‑graph‑enhanced script generation, and advanced reading‑comprehension techniques enable virtual anchors to transform e‑commerce live streaming from simple Q&A bots into interactive, content‑rich live broadcasts, addressing challenges of material sourcing, personalization, and low‑latency response.

Knowledge GraphLiveQAcontent generation
0 likes · 19 min read
Multimodal and Human‑Computer Interaction Technologies for E‑commerce Live Streaming: From Q&A to Live Broadcast
DataFunSummit
DataFunSummit
Sep 14, 2021 · Artificial Intelligence

Knowledge Representation Learning for Knowledge Graphs: Business Overview, Algorithms, and Applications

This article presents an overview of Xiaomi's knowledge graph platform, introduces text‑augmented knowledge representation learning methods such as Jointly and DKRL, and details their practical applications in entity linking, entity recommendation, and knowledge graph completion within AI‑driven services.

Artificial IntelligenceKnowledge Graphentity linking
0 likes · 20 min read
Knowledge Representation Learning for Knowledge Graphs: Business Overview, Algorithms, and Applications
Meituan Technology Team
Meituan Technology Team
Sep 2, 2021 · Artificial Intelligence

Construction and Application of Retail Product Knowledge Graph at Meituan

The paper describes Meituan’s retail product knowledge graph—a multi‑layered, multi‑modal system that structures billions of SKUs, attributes, and user insights using hierarchical categories, graph‑enhanced NER, semi‑supervised learning, and expert‑in‑the‑loop validation, enabling precise search, ranking, recommendation, and real‑time merchant optimization.

AIKnowledge GraphRetail
0 likes · 25 min read
Construction and Application of Retail Product Knowledge Graph at Meituan
DataFunTalk
DataFunTalk
Aug 31, 2021 · Artificial Intelligence

Applying Knowledge Graphs for Clinical VTE Risk Assessment: A Case Study from HuiMei Technology

This article describes how HuiMei Technology leverages a medical knowledge graph, natural‑language processing, and AI‑driven scoring to automate venous thromboembolism (VTE) risk assessment in large hospitals, detailing the business background, technical architecture, implementation workflow, and ongoing research directions.

Knowledge GraphSNOMED-CTVTE
0 likes · 16 min read
Applying Knowledge Graphs for Clinical VTE Risk Assessment: A Case Study from HuiMei Technology
DataFunTalk
DataFunTalk
Aug 22, 2021 · Artificial Intelligence

Fundamentals and Applications of Knowledge Graphs

The article provides a comprehensive overview of knowledge graphs, covering their background, definitions, evolution, core concepts such as entities, attributes, and relationships, and illustrating typical applications across medical, finance, government, e‑commerce, and chatbot domains.

AIKnowledge Graph
0 likes · 16 min read
Fundamentals and Applications of Knowledge Graphs
DataFunSummit
DataFunSummit
Aug 21, 2021 · Artificial Intelligence

Cold‑Start Recommendation: Algorithmic Approaches and Strategies

This article reviews algorithmic solutions for cold‑start recommendation, covering the efficient use of side information, knowledge graphs, cross‑domain transfer, multi‑behavior signals, limited interaction data, explore‑exploit tactics, and additional practical scenarios, while summarizing key methods such as DropoutNet, MetaEmbedding, MWUF, MeLU and MetaHIN.

Knowledge Graphcold-startcross-domain
0 likes · 11 min read
Cold‑Start Recommendation: Algorithmic Approaches and Strategies
JD Retail Technology
JD Retail Technology
Aug 4, 2021 · Artificial Intelligence

Quality Control for Online Medical Consultations Using NLP and Knowledge Graphs at JD Health

This article describes how JD Health’s platform product team applies natural language processing, knowledge graphs, and AI-driven quality control to address industry pain points in online medical consultations, detailing the workflow, technical modules, current results, and future directions for comprehensive tele‑health assurance.

AIKnowledge Graphmedical QA
0 likes · 8 min read
Quality Control for Online Medical Consultations Using NLP and Knowledge Graphs at JD Health
DataFunTalk
DataFunTalk
Jul 31, 2021 · Artificial Intelligence

Construction and Application of Retail Product Knowledge Graph at Meituan

This article details Meituan's development of a multi‑level, multi‑dimensional retail product knowledge graph, covering its background in new retail, hierarchical design, attribute modeling, challenges, efficiency improvements, human‑machine collaboration, and its impact on search, recommendation and both C‑ and B‑side services.

Artificial IntelligenceKnowledge GraphMeituan
0 likes · 25 min read
Construction and Application of Retail Product Knowledge Graph at Meituan
iQIYI Technical Product Team
iQIYI Technical Product Team
Jul 30, 2021 · Artificial Intelligence

Construction and Application of iQIYI's Qisou Knowledge Graph

iQIYI’s Qisou Knowledge Graph, built since 2015 through a five‑stage pipeline of schema modeling, multi‑source data acquisition, entity alignment fusion, JanusGraph‑HBase storage, and inference‑driven querying, now powers precise video search, intelligent Q&A, tag mining, and relationship‑based recommendation across its platform.

AIGraph DatabaseKnowledge Graph
0 likes · 14 min read
Construction and Application of iQIYI's Qisou Knowledge Graph
DataFunTalk
DataFunTalk
Jul 22, 2021 · Artificial Intelligence

Joint Entity and Relation Extraction: Methods, Challenges, and Document‑Level Approaches

This article reviews the fundamentals of entity‑relation extraction, surveys joint extraction techniques such as sequence labeling, table‑filling and seq2seq models, discusses document‑level graph‑based methods, highlights experimental findings, and outlines future research directions in knowledge‑graph construction.

Knowledge GraphNLPdocument-level
0 likes · 17 min read
Joint Entity and Relation Extraction: Methods, Challenges, and Document‑Level Approaches
Meituan Technology Team
Meituan Technology Team
Jul 15, 2021 · Artificial Intelligence

Local Life Comprehensive Demand Knowledge Graph: Design, Algorithms, and Applications

The Local Life Comprehensive Demand Knowledge Graph (GENE) reorients Meituan’s supply‑demand matching by building a multi‑layer, user‑centric graph that captures intent and consideration, employing BERT, Word2Vec, ELECTRA, and reinforcement‑learning models to generate concrete and scene‑based demand nodes, now powering parent‑child, leisure, medical‑beauty, and education services.

AIDemand ModelingKnowledge Graph
0 likes · 34 min read
Local Life Comprehensive Demand Knowledge Graph: Design, Algorithms, and Applications