Tagged articles

knowledge graph

589 articles · Page 5 of 6

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 EmbeddingSequence Modelingknowledge graph

0 likes · 19 min read

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

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.

MeituanMultimodalknowledge graph

0 likes · 22 min read

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

AntTech

Mar 25, 2022 · Databases

Why and How to Choose a Graph Database: Benchmarking for Knowledge Graph and Financial Applications

This article explains the importance of selecting the right graph database for knowledge‑graph systems, compares major graph‑DB options, outlines essential characteristics of effective benchmarks, and describes the development of a financial‑graph benchmark based on LDBC standards.

FinancialLDBCknowledge graph

0 likes · 11 min read

Why and How to Choose a Graph Database: Benchmarking for Knowledge Graph and Financial Applications

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.

AIFinancial Risk Controlfintech

0 likes · 17 min read

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

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.

Attention MechanismGraph Neural Networksdeep learning

0 likes · 11 min read

Graph-Based Sparse Behavior Recall Models for Content Recommendation

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 applicationsGraph Neural Networksknowledge graph

0 likes · 9 min read

Knowledge Graph Representation and Reasoning Forum at DataFun Summit 2022

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.

AttentionGraph Neural Networksknowledge graph

0 likes · 11 min read

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

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.

AIGraph Neural Networke-commerce

0 likes · 12 min read

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

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.

AIfinancial riskfraud detection

0 likes · 18 min read

Large-Scale Graph Platform Dxm Eros for Financial Risk Control

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.

NebulaGraphTencent Musicgraph database

0 likes · 11 min read

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

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.

Pretrained ModelsSentiment AnalysisUGC

0 likes · 16 min read

UGC Sentiment Analysis Solutions and Applications in Taobao

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.

Distributed ArchitectureNebulaGraphQuery Service

0 likes · 11 min read

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

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 developmentNamed Entity Recognitionattribute completion

0 likes · 20 min read

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

Architects Research Society

Jan 9, 2022 · Artificial Intelligence

Five Key Trends in AI-Powered Search and Unstructured Data Analysis

The article outlines five major trends—neural-network-enhanced search, semantic search, document understanding, image and voice search, and knowledge graphs—that are transforming enterprise use of unstructured data by leveraging AI to deliver precise, context-aware answers and insights.

AIdocument understandingknowledge graph

0 likes · 15 min read

Five Key Trends in AI-Powered Search and Unstructured Data Analysis

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.

Natural Language Processinginformation extractionjoint extraction

0 likes · 18 min read

Information Extraction for Unstructured Text: From Closed to Open

DataFunTalk

Dec 31, 2021 · Artificial Intelligence

Knowledge‑Enhanced Semantic Understanding with Baidu ERNIE: Techniques, Progress, and Applications

This article reviews Baidu's knowledge‑enhanced semantic understanding models, detailing the evolution from early semantic techniques to ERNIE 1.0, 2.0 and the large‑scale ERNIE 3.0, its architecture, training strategies, performance benchmarks, and real‑world applications across industry.

AIERNIENLP

0 likes · 19 min read

Knowledge‑Enhanced Semantic Understanding with Baidu ERNIE: Techniques, Progress, and Applications

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 Networkattribute extractione-commerce

0 likes · 23 min read

Entity Alignment in Product Knowledge Graphs: Techniques and Applications

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.

AIMultimodalknowledge graph

0 likes · 20 min read

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

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 IntelligenceGraph Neural NetworksQuantum Chemistry

0 likes · 8 min read

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

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 IntelligenceGraph DatabasesKnowledge Extraction

0 likes · 11 min read

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

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

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 ListGraph Neural Networks

0 likes · 12 min read

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

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.

Natural Language Processingentity linkinginformation extraction

0 likes · 21 min read

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

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.

AINatural Language Processingentity linking

0 likes · 21 min read

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

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.

KBQAMeituanNLP

0 likes · 24 min read

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

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.

AIInformation Retrievalgraph embedding

0 likes · 22 min read

What Is a Knowledge Graph? From Basics to Embedding Techniques

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.

BERTentity linkingknowledge graph

0 likes · 23 min read

Supply Standardization for Script‑Murder Business Using a Knowledge Graph

Alibaba Terminal Technology

Oct 21, 2021 · Frontend Development

Explore Alibaba’s Frontend Knowledge Graph: Your Roadmap from Beginner to Expert

Alibaba’s Frontend Knowledge Graph, curated by dozens of experts over a year, maps 717 key topics across beginner, intermediate, and advanced levels, offering detailed explanations, resources, and an interactive visual tool for developers to explore and deepen their web development skills.

Learning Roadmapknowledge graphopen-source

0 likes · 5 min read

Explore Alibaba’s Frontend Knowledge Graph: Your Roadmap from Beginner to Expert

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.

Financial TechnologyNLPindustry chain

0 likes · 22 min read

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

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 trendsIndependent InnovationNeo4j

0 likes · 6 min read

Understanding Graph Databases: Concepts, Trends, and Neo4j Example

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 IntelligenceMulti-modale-commerce

0 likes · 24 min read

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

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.

AICNCC2021conference

0 likes · 15 min read

CNCC2021 Technical Forum: Knowledge Graphs Empowering Digital Transformation

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.

NLPdocument-levelentity-relation extraction

0 likes · 15 min read

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

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.

AIMultimodaldialogue system

0 likes · 23 min read

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

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.

AIMeituandata mining

0 likes · 25 min read

Construction and Application of Retail Product Knowledge Graph at Meituan

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 IntelligenceNatural Language Processingknowledge graph

0 likes · 4 min read

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

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.

AIInformation RetrievalNatural Language Processing

0 likes · 23 min read

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

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.

LiveQAcontent generatione-commerce live streaming

0 likes · 19 min read

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

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 Intelligenceentity linkingentity recommendation

0 likes · 20 min read

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

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.

AIMultimodaldata mining

0 likes · 25 min read

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.

Medical AINatural Language ProcessingSNOMED-CT

0 likes · 16 min read

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

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

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.

cold-startcross-domainknowledge graph

0 likes · 11 min read

Cold‑Start Recommendation: Algorithmic Approaches and Strategies

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

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 IntelligenceMeituandata mining

0 likes · 25 min read

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.

AIRDFentity extraction

0 likes · 14 min read

Construction and Application of iQIYI's Qisou Knowledge Graph

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.

Graph Neural NetworksNLPdocument-level

0 likes · 17 min read

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

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 ModelingNLP

0 likes · 34 min read

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

DataFunTalk

Jul 8, 2021 · Artificial Intelligence

Baidu ERNIE 3.0: Knowledge‑Enhanced 100B‑Parameter Model Sets New Chinese NLP Benchmarks and Tops SuperGLUE

Baidu's ERNIE 3.0 introduces a 100‑billion‑parameter, knowledge‑graph‑augmented language model that breaks 54 Chinese NLP benchmarks, achieves human‑level performance on SuperGLUE, and demonstrates strong generation and zero‑shot capabilities, now available for public demo and research.

BaiduERNIE 3.0NLP

0 likes · 7 min read

Baidu ERNIE 3.0: Knowledge‑Enhanced 100B‑Parameter Model Sets New Chinese NLP Benchmarks and Tops SuperGLUE

DataFunTalk

Jul 3, 2021 · Artificial Intelligence

Knowledge Graph Enhanced Recommender Systems: Methods, Models, and Experiments

This article reviews how knowledge graphs can be integrated into recommender systems to address data sparsity and cold‑start problems, covering collaborative filtering limitations, KG embeddings (TransE, TransH, TransR), deep knowledge‑aware networks, multi‑task feature learning, RippleNet, KGCN, experimental results, and a comparative analysis of performance, scalability, and interpretability.

Artificial Intelligencecollaborative filteringembedding

0 likes · 11 min read

Knowledge Graph Enhanced Recommender Systems: Methods, Models, and Experiments

DataFunTalk

Jun 30, 2021 · Artificial Intelligence

Knowledge Representation Learning for Xiaomi Knowledge Graph: Algorithms and Applications

This article introduces Xiaomi's knowledge graph architecture, presents text‑graph joint representation learning methods, and demonstrates their practical use in entity linking, entity recommendation, and knowledge completion, highlighting model designs, feature engineering, and experimental results.

AIentity linkingentity recommendation

0 likes · 16 min read

Knowledge Representation Learning for Xiaomi Knowledge Graph: Algorithms and Applications

Meituan Technology Team

Jun 24, 2021 · Artificial Intelligence

Construction and Application of Meituan's Common‑Sense Concept Knowledge Graph

The paper describes Meituan’s common‑sense concept knowledge graph, detailing a multi‑stage construction pipeline—concept, hierarchy, attribute, bridging, and POI/SPU linking—using BERT, XGBoost, and graph neural networks, and demonstrates its deployment in category‑word enrichment, search suggestions, and medical‑beauty tagging, achieving over two million concepts, three million relations, and roughly 90 % accuracy.

Natural Language Processingconcept miningentity linking

0 likes · 26 min read

Construction and Application of Meituan's Common‑Sense Concept Knowledge Graph

DataFunTalk

Jun 20, 2021 · Artificial Intelligence

Iterative Development and Applications of Meituan Takeaway Food Knowledge Graph

This article systematically introduces the architecture, iterative improvements, modeling techniques, and practical applications of Meituan's food knowledge graph, covering category taxonomy, standard dish names, basic and thematic attributes, health‑meal detection, dish entity alignment, and downstream recommendation and search use cases.

AIBERTFood Recommendation

0 likes · 18 min read

Iterative Development and Applications of Meituan Takeaway Food Knowledge Graph

DataFunTalk

Jun 16, 2021 · Artificial Intelligence

Building and Applying Knowledge Graphs for Financial Asset Management with AI and Big Data

This article explains why the financial asset‑management industry needs a knowledge‑graph system, describes the AI‑driven intelligent investment‑research workflow, and details the cloud‑native big‑data ingestion platform, core graph‑construction technologies such as tag‑embedding, FinBERT‑based matching, extraction, entity linking, and knowledge fusion, culminating in a practical intelligent research assistant.

AIFinBERTcloud-native

0 likes · 16 min read

Building and Applying Knowledge Graphs for Financial Asset Management with AI and Big Data

Meituan Technology Team

May 27, 2021 · Artificial Intelligence

Iterative Development and Applications of Meituan Takeaway Food Knowledge Graph

The Meituan Takeaway Food Knowledge Graph iteratively builds a hierarchical tag taxonomy, standardizes dish names, extracts basic and theme attributes, aligns online‑offline entities using CNN‑CRF, BERT and hybrid models, and powers combo, interactive and search recommendations while planning scene‑specific tags and graph‑based personalization.

BERTFood RecommendationMeituan

0 likes · 19 min read

Meituan Technology Team

May 27, 2021 · Artificial Intelligence

Technical Solutions for Meal Combo Recommendation in Food Delivery

Meituan Waimai tackles long ordering decisions and low merchant combo creation by deploying an offline‑real‑time hybrid system that generates high‑quality meal combos using graph‑label induction, encoder‑decoder, and attention models, reinforced with quality classification and constraint pruning, boosting combo coverage and user experience.

AIEncoder-Decoderknowledge graph

0 likes · 20 min read

Technical Solutions for Meal Combo Recommendation in Food Delivery

Meituan Technology Team

May 27, 2021 · Artificial Intelligence

Standardizing Food Delivery Dish Names: Knowledge Graph Construction and Applications

The paper outlines an end‑to‑end pipeline that standardizes highly personalized food‑delivery dish names by combining rule‑based and BERT‑DSSM text synonym detection with EfficientNet image classification, constructing a multi‑level taxonomy that improves aggregation, supply‑demand analysis, recall ranking and merchant tagging.

Food DeliveryImage MatchingNLP

0 likes · 17 min read

Standardizing Food Delivery Dish Names: Knowledge Graph Construction and Applications

DataFunTalk

May 21, 2021 · Artificial Intelligence

Knowledge Graph Course Syllabus Overview

This document outlines a comprehensive knowledge graph curriculum covering fundamentals, representation methods, storage solutions, extraction techniques, reasoning, fusion, question answering, graph algorithms, and emerging research directions across nine detailed chapters.

AI EducationGraph DatabasesSemantic Web

0 likes · 4 min read

Knowledge Graph Course Syllabus Overview

DataFunTalk

May 15, 2021 · Artificial Intelligence

Knowledge Graph Course Syllabus Overview

This teaching plan outlines a comprehensive Knowledge Graph course covering fundamentals, representation, storage, extraction, reasoning, fusion, question answering, graph algorithms, and emerging technologies across nine detailed chapters, including language integration, ontology matching, and multimodal extensions.

Artificial IntelligenceGraph Algorithmscourse syllabus

0 likes · 4 min read

DataFunTalk

Apr 25, 2021 · Artificial Intelligence

Intelligent Training Powered by Knowledge Graphs: Progress and Applications at Beike Real Estate

This presentation details Beike Real Estate's development of entity and reasoning knowledge graphs, their integration into intelligent training, the methods for knowledge acquisition, organization, and operation, and future directions for industry-wide knowledge standards, illustrating how AI-driven data pipelines enhance real‑estate services.

AIintelligent trainingknowledge graph

0 likes · 17 min read

Intelligent Training Powered by Knowledge Graphs: Progress and Applications at Beike Real Estate

Youku Technology

Apr 1, 2021 · Artificial Intelligence

AI-Driven Content Evaluation and Few-Shot Learning in the Entertainment Industry

Alibaba Entertainment’s AI‑driven workflow combines perception, cognition, and decision layers—leveraging knowledge graphs, few‑shot learning, and real‑time sentiment analysis across casting, production, and distribution—to predict content demand with sparse data, boosting prediction accuracy by 10%, quality by 20% and cutting low‑traffic titles.

AIContent EvaluationFew-Shot Learning

0 likes · 15 min read

AI-Driven Content Evaluation and Few-Shot Learning in the Entertainment Industry

DataFunTalk

Mar 31, 2021 · Artificial Intelligence

Call for Open Resources for CCKS 2021 Resource Track (Knowledge Graphs and Semantic Computing)

The CCKS 2021 Resource Track invites submissions of open knowledge‑graph and semantic‑computing resources—including datasets, tools, ontologies, benchmarks, workflows, and crowdsourcing designs—by May 20, with detailed guidelines, evaluation criteria, and a best‑resource award announced at the August conference in Guangzhou.

CCKS2021knowledge graphopen data

0 likes · 5 min read

Call for Open Resources for CCKS 2021 Resource Track (Knowledge Graphs and Semantic Computing)

DataFunTalk

Mar 18, 2021 · Artificial Intelligence

Advances in Baidu Knowledge Graph: Technologies, Applications, and Future Directions

This presentation by Baidu senior R&D engineer Wang Quan outlines the evolution, architecture, and recent breakthroughs of Baidu's knowledge graph, covering universal, event, video, and industry-specific graphs, key technologies such as open knowledge mining, self‑learning, multi‑source fusion, and their applications in search, recommendation, dialogue, and intelligent services.

Artificial IntelligenceEvent Extractionindustry applications

0 likes · 22 min read

Advances in Baidu Knowledge Graph: Technologies, Applications, and Future Directions

JD Cloud Developers

Feb 5, 2021 · Artificial Intelligence

2020 NLP Milestones & Future Trends: Insights from JD’s AI Scientist

In an InfoQ interview, JD Technology senior algorithm scientist Wu Youzheng reviews the rapid advances of natural language processing in 2020—including GPT‑3, multimodal dialogue, knowledge‑enhanced pre‑training, and knowledge graphs—while outlining the most promising research directions and practical challenges for the coming year.

AI applicationsGPT-3Multimodal

0 likes · 18 min read

2020 NLP Milestones & Future Trends: Insights from JD’s AI Scientist

DataFunTalk

Jan 14, 2021 · Blockchain

EpiK Decentralized Knowledge Graph Platform: Architecture, Challenges, and Participation

The article explains how EpiK uses blockchain‑based storage, incentive mechanisms, and DAO governance to build a decentralized, open‑source knowledge‑graph platform that addresses AI data needs, coordination challenges, and encourages participation from experts, miners, and bounty hunters.

AIDAOblockchain

0 likes · 14 min read

EpiK Decentralized Knowledge Graph Platform: Architecture, Challenges, and Participation

DataFunTalk

Jan 5, 2021 · Artificial Intelligence

OpenIE‑Based Knowledge Graph Construction for Vertical Domains

This article explores the challenges of enterprise knowledge management and presents vertical‑domain knowledge graph construction techniques based on OpenIE, covering data analysis, extraction methods, SPO modeling, both closed‑ and open‑domain approaches, and practical applications such as chatbots, search and intelligent QA.

AIOpenIESPO extraction

0 likes · 12 min read

OpenIE‑Based Knowledge Graph Construction for Vertical Domains

DataFunTalk

Jan 1, 2021 · Artificial Intelligence

Hot Topic Mining and Expansion Using User‑Behavior Graph Embedding for Recommendation Systems

This article surveys recent research on extracting and expanding hot topics from short texts by constructing user‑behavior graphs, applying graph‑embedding techniques, and leveraging multi‑task learning to improve recommendation relevance, timeliness, and cold‑start handling in large‑scale platforms.

Artificial Intelligencegraph embeddingknowledge graph

0 likes · 12 min read

Hot Topic Mining and Expansion Using User‑Behavior Graph Embedding for Recommendation Systems

DataFunTalk

Dec 28, 2020 · Artificial Intelligence

Intelligent Question Answering: Scenarios, Architecture, and Technical Implementations (QA, Knowledge‑Graph QA, NL2SQL)

This article introduces the typical applications of intelligent question answering, compares chat‑type, knowledge‑type and task‑type bots, and then details the end‑to‑end architecture, knowledge‑base construction, semantic‑equivalence modeling with BERT‑BIMPM, knowledge‑graph QA pipelines, and NL2SQL techniques, concluding with practical deployment insights.

AIBERTDialogue Systems

0 likes · 15 min read

Intelligent Question Answering: Scenarios, Architecture, and Technical Implementations (QA, Knowledge‑Graph QA, NL2SQL)

DataFunTalk

Dec 23, 2020 · Artificial Intelligence

Advances in Knowledge Graph Completion: Methods, Challenges, and Future Directions

This article reviews the rapid progress of knowledge graph completion, covering its background, formal problem definition, major technical approaches—including representation learning, path‑based search, reinforcement learning, logical reasoning, and meta‑learning—while discussing their challenges, recent improvements, and promising future research directions.

CompletionMeta-Learningknowledge graph

0 likes · 14 min read

Advances in Knowledge Graph Completion: Methods, Challenges, and Future Directions

DataFunTalk

Dec 22, 2020 · Artificial Intelligence

Construction and Application of Financial Knowledge Graphs

This article explains how financial institutions can leverage large amounts of structured and unstructured data to build and apply financial knowledge graphs, covering AI key technologies, schema design, data extraction, graph construction, storage solutions, and real-world use cases such as intelligent tagging, recommendation, policy analysis, and executive relationship mining.

entity extractionfinancial AIknowledge graph

0 likes · 14 min read

Construction and Application of Financial Knowledge Graphs

21CTO

Dec 21, 2020 · Big Data

5 Emerging Big Data Trends Shaping Business, Health, and Climate in 2021

This article outlines five key big‑data trends for 2021—including the rise of augmented analytics, the convergence of big data with blockchain, the growing importance of knowledge graphs, data‑driven health innovations, and climate‑focused analytics—highlighting their impact on organizations and future technological landscapes.

augmented analyticsbig datablockchain

0 likes · 8 min read

5 Emerging Big Data Trends Shaping Business, Health, and Climate in 2021

DataFunTalk

Dec 21, 2020 · Artificial Intelligence

Intelligent Question Answering Technology Framework and Practices at Meituan

This article describes Meituan's intelligent question answering system, detailing its three core capabilities—Document QA, Community QA, and Knowledge‑Graph QA—along with the underlying machine‑reading comprehension models, multi‑task learning, answer ranking, and real‑world deployment scenarios across travel, hotel, and retail services.

MeituanNLPknowledge graph

0 likes · 22 min read

Intelligent Question Answering Technology Framework and Practices at Meituan

DataFunSummit

Dec 9, 2020 · Artificial Intelligence

Construction and Application of Financial Knowledge Graphs: AI Key Technologies, Building Practices, and Real‑World Use Cases

This article explains how financial institutions can leverage massive structured and unstructured data by building a financial knowledge graph, detailing AI core technologies, schema design, extraction methods, storage solutions, and a range of practical applications such as intelligent tagging, recommendation, policy analysis, and executive relationship mining.

Artificial IntelligenceGraph Algorithmsfinancial data

0 likes · 16 min read

Construction and Application of Financial Knowledge Graphs: AI Key Technologies, Building Practices, and Real‑World Use Cases

DataFunTalk

Dec 9, 2020 · Artificial Intelligence

DataFunTalk Year-End Knowledge Graph Forum – Schedule, Speakers, and Registration Details

The DataFunTalk Year-End Knowledge Graph Forum on December 19, 2023, will be streamed live and feature four expert speakers from Baidu, Alibaba, Meituan, and Beike who will share cutting‑edge knowledge‑graph technologies, applications, and practical techniques for industry and research audiences.

Artificial Intelligenceconferenceindustry applications

0 likes · 7 min read

DataFunTalk Year-End Knowledge Graph Forum – Schedule, Speakers, and Registration Details

Meituan Technology Team

Dec 3, 2020 · Artificial Intelligence

Meituan Knowledge Graph Group's Six Papers Accepted at CIKM 2020

Meituan’s search and NLP team announced that six knowledge‑graph papers—covering query‑aware tip generation, BERT‑based ranking, multi‑modal and sequential recommendation, conversational recommendation, and graph‑embedding for personalized product search—were accepted at CIKM 2020, resulting from university collaborations and already deployed to boost Meituan’s search, recommendation and product‑search services.

BERTCIKM 2020Multi-modal

0 likes · 13 min read

Meituan Knowledge Graph Group's Six Papers Accepted at CIKM 2020

JD Tech Talk

Dec 3, 2020 · Artificial Intelligence

Consumer Behavior Cause Extraction with BERT Fine‑tuning and a Novel Sequence‑Labeling Framework (ICDM 2020 Winning Solution)

At ICDM 2020, the JD Digits Silicon Valley team achieved top results in the Knowledge Graph Contest by fine‑tuning BERT and introducing a novel sequence‑labeling framework that jointly extracts consumer behavior types and their underlying reasons, leveraging CRF decoding and model ensemble for superior performance.

BERTCRFICDM 2020

0 likes · 11 min read

Consumer Behavior Cause Extraction with BERT Fine‑tuning and a Novel Sequence‑Labeling Framework (ICDM 2020 Winning Solution)

DataFunTalk

Nov 30, 2020 · Fundamentals

DataFunTalk Annual Conference – Full Program and Speaker Details

The DataFunTalk year‑end conference will be held online on December 19‑20, featuring over 90 speakers across multiple forums covering recommendation algorithms, knowledge graphs, AI, big data, security, and product development, with detailed session schedules, speaker bios, and registration information.

AIbig dataconference

0 likes · 76 min read

DataFunTalk Annual Conference – Full Program and Speaker Details

DataFunSummit

Nov 29, 2020 · Artificial Intelligence

Vertical Domain Knowledge Graph Construction with OpenIE Techniques

This article explores the challenges of enterprise knowledge management and presents a comprehensive OpenIE-based approach for building vertical domain knowledge graphs, covering data extraction, SPO triple generation, case studies, and applications such as chatbots, semantic search, and intelligent QA.

Enterprise AIKnowledge ExtractionOpenIE

0 likes · 18 min read

Vertical Domain Knowledge Graph Construction with OpenIE Techniques

DataFunTalk

Nov 25, 2020 · Artificial Intelligence

Baidu Event Graph: Technology, Construction, and Applications

This article presents Baidu's large‑scale event graph technology, detailing its concepts, construction pipeline, detection, representation, extraction methods, causal relation mining, and real‑world applications such as hotspot discovery, event tracing, resource linking, and causal reasoning, while outlining future research directions.

AIBaiducausal reasoning

0 likes · 22 min read

Baidu Event Graph: Technology, Construction, and Applications

DataFunTalk

Nov 24, 2020 · Artificial Intelligence

Building Next‑Generation Data Intelligence Infrastructure with Knowledge Graphs: From New Infrastructure to Cognitive AI Platforms

This presentation explains how knowledge graphs serve as the foundation for new‑infrastructure initiatives, detailing the evolution of AI from perception to cognition, the role of big‑data centers, DIKW modeling, intelligent data governance, and the construction of a cognitive AI middle‑platform for industry applications.

AI infrastructureArtificial Intelligencebig data

0 likes · 18 min read

Building Next‑Generation Data Intelligence Infrastructure with Knowledge Graphs: From New Infrastructure to Cognitive AI Platforms

DataFunTalk

Nov 20, 2020 · Artificial Intelligence

NetEase Cloud Music Recommendation System: Architecture, Challenges, and AI‑Driven Solutions

The article presents a comprehensive overview of NetEase Cloud Music's recommendation system, detailing its rapid user growth, diverse music‑recommendation scenarios, differences from e‑commerce recommendation, and the evolution of recall and ranking models that leverage real‑time interest vectors, dynamic multi‑interest modeling, knowledge graphs, long‑short‑term interest mining, and multi‑path fusion to deliver personalized music experiences.

AI Algorithmsinterest evolutionknowledge graph

0 likes · 20 min read

NetEase Cloud Music Recommendation System: Architecture, Challenges, and AI‑Driven Solutions

Tencent Cloud Developer

Nov 20, 2020 · Artificial Intelligence

Design of a Symbolic Evaluation Set for Knowledge Question Answering (KBQA)

The paper introduces a symbolic‑logic‑focused evaluation set for knowledge‑base question answering, defining single, deterministic, and non‑deterministic element symbols with linguistic tags, constructing complex celebrity‑domain queries, and showing that current commercial KBQA systems achieve only modest accuracy, highlighting the need for more robust reasoning capabilities.

AIKBQASymbolic Reasoning

0 likes · 11 min read

Design of a Symbolic Evaluation Set for Knowledge Question Answering (KBQA)

DataFunSummit

Nov 16, 2020 · Artificial Intelligence

Building Next‑Generation Data Intelligence Infrastructure with Knowledge Graphs: From New Infrastructure to Cognitive AI

This article explains how knowledge graphs can power new‑infrastructure initiatives by enabling deep semantic data governance, supporting large‑scale AI platforms, and driving the transition from perception‑level AI to cognitive intelligence across industries.

Artificial Intelligencecognitive intelligenceknowledge graph

0 likes · 18 min read

Building Next‑Generation Data Intelligence Infrastructure with Knowledge Graphs: From New Infrastructure to Cognitive AI

DataFunTalk

Nov 14, 2020 · Artificial Intelligence

Xiaomi Knowledge Graph: Architecture, Key Technologies, and Business Applications

The article presents an in‑depth overview of Xiaomi's knowledge graph, describing its evolution, core technologies such as entity linking, knowledge fusion and concept mining, and illustrating how it powers diverse AI‑driven services like smart Q&A, virtual assistants, e‑commerce and financial applications.

AI applicationsXiaomientity linking

0 likes · 22 min read

Xiaomi Knowledge Graph: Architecture, Key Technologies, and Business Applications

DataFunTalk

Nov 7, 2020 · Artificial Intelligence

Knowledge Graph Reasoning: Deductive, Inductive, and Embedding‑Based Methods

This article surveys knowledge‑graph reasoning, explaining deductive and inductive reasoning fundamentals, description‑logic and logic‑programming approaches, and modern embedding techniques such as TransE, TransH, TransR and TransD, while highlighting their theoretical bases, practical implementations and recent research progress.

AIDescription Logicdeductive reasoning

0 likes · 13 min read

Knowledge Graph Reasoning: Deductive, Inductive, and Embedding‑Based Methods

DataFunTalk

Nov 4, 2020 · Artificial Intelligence

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

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

AIInformation Retrievale-commerce

0 likes · 16 min read

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

JD Cloud Developers

Oct 29, 2020 · Artificial Intelligence

How JD Leverages Knowledge Graphs for Better E‑commerce Interest Recall

JD’s recommendation team outlines three key innovations—knowledge‑graph‑based interest recall, enhanced CTR estimation with a DRM module, and a listwise ranking strategy—that together address user‑interest expansion challenges in e‑commerce, especially for cold‑start items, long‑tail products, and dynamic promotional scenarios.

CTR estimatione-commerceinterest expansion

0 likes · 21 min read

How JD Leverages Knowledge Graphs for Better E‑commerce Interest Recall

DataFunTalk

Oct 13, 2020 · Artificial Intelligence

Query Term Weighting Techniques for Medical Search: Statistical, Supervised, and Neural Approaches

This article reviews the challenges of short‑text query understanding in medical search and surveys a range of term‑weighting methods—including statistical models, supervised weighting, knowledge‑graph‑enhanced extraction, and neural network‑based approaches—highlighting their assumptions, implementations, and practical considerations for improving retrieval relevance.

Information Retrievalknowledge graphmedical search

0 likes · 18 min read

Query Term Weighting Techniques for Medical Search: Statistical, Supervised, and Neural Approaches

AntTech

Sep 27, 2020 · Artificial Intelligence

Question Directed Graph Attention Network for Numerical Reasoning over Text (QDGAT)

The paper introduces QDGAT, a question‑directed graph attention network that enhances numerical reasoning in reading comprehension by explicitly modeling relationships among numbers, entities, and questions, and demonstrates its effectiveness through extensive experiments on the DROP dataset.

DROPNLPPretrained Models

0 likes · 7 min read

Question Directed Graph Attention Network for Numerical Reasoning over Text (QDGAT)

DataFunTalk

Sep 19, 2020 · Artificial Intelligence

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

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

AlibabaNLPconcept extraction

0 likes · 22 min read

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

DataFunTalk

Sep 10, 2020 · Databases

Graph‑Based Real‑Time Content Update Architecture at Youku: Challenges, Design, and Practice

This technical presentation explains how Youku tackles the massive, real‑time update problem of video‑content graphs by adopting a graph‑database architecture, sub‑graph partitioning, schema‑driven logical views, and Flink‑based pipelines to achieve second‑level updates for billions of entities and attributes.

FlinkReal-time UpdatesVideo platform

0 likes · 15 min read

Graph‑Based Real‑Time Content Update Architecture at Youku: Challenges, Design, and Practice

Suning Technology

Aug 29, 2020 · Artificial Intelligence

How AI Powers Large‑Scale Time Series Forecasting and Root‑Cause Analysis

This article describes Suning's AI‑driven end‑to‑end solution for massive time‑series monitoring, anomaly detection, forecasting with DeepAR, MQ‑RNN, MQ‑CNN, ensemble methods, root‑cause localization using Hotspot and Monte‑Carlo Tree Search, and the evolution of its large‑scale log analytics platform.

Log AnalyticsTime Series Forecastinganomaly detection

0 likes · 17 min read

How AI Powers Large‑Scale Time Series Forecasting and Root‑Cause Analysis

Architects Research Society

Aug 22, 2020 · Artificial Intelligence

Five Key Trends Shaping Enterprise Search and Unstructured Data Analysis

The article outlines how advances in neural networks, semantic search, document understanding, image and voice search, and knowledge graphs are transforming enterprise search of unstructured data, enabling more accurate, context‑aware answers and new business use cases across organizations.

AIdocument understandingknowledge graph

0 likes · 13 min read

Five Key Trends Shaping Enterprise Search and Unstructured Data Analysis

JD Tech Talk

Aug 21, 2020 · Artificial Intelligence

JD Digits' Intelligent Anti‑Fraud Platform: AI‑Driven Real‑Time Fraud Detection and Knowledge‑Graph Solutions

JD Digits' intelligent anti‑fraud platform leverages machine learning, big‑data processing, graph neural networks and small‑sample knowledge‑graph algorithms to provide millisecond‑level, real‑time protection across 600+ scenarios, while also offering AI‑powered solutions to banks and publishing research at top conferences.

AIGraph Neural NetworkReal-Time Computing

0 likes · 6 min read

JD Digits' Intelligent Anti‑Fraud Platform: AI‑Driven Real‑Time Fraud Detection and Knowledge‑Graph Solutions

DataFunTalk

Aug 8, 2020 · Artificial Intelligence

Knowledge Graph Construction and Applications in Alibaba B2B E‑commerce

This article explains how Alibaba B2B leverages knowledge‑graph technology—from its historical roots in knowledge engineering and expert systems to modern semantic‑web models, extraction pipelines, reasoning methods, storage solutions, and representation learning—to improve search, recommendation, and scene‑based procurement incentives in e‑commerce platforms.

AlibabaSemantic Webentity extraction

0 likes · 31 min read

Knowledge Graph Construction and Applications in Alibaba B2B E‑commerce

DataFunTalk

Jul 31, 2020 · Artificial Intelligence

WeChat 'Kan Kan' Content Understanding: Architecture and Techniques for Recommendation

This article details the technical architecture behind WeChat's 'Kan Kan' content understanding platform, covering text and multimedia analysis, tag extraction, entity recognition, knowledge graph construction, and how these components enhance recommendation recall, ranking, and user engagement across the ecosystem.

content understandingknowledge graphmachine learning

0 likes · 46 min read

WeChat 'Kan Kan' Content Understanding: Architecture and Techniques for Recommendation

Meituan Technology Team

Jul 23, 2020 · Artificial Intelligence

43rd ACM SIGIR 2020 Conference Overview

The 43rd ACM SIGIR 2020 International Conference on Research and Development in Information Retrieval, a premier CCF A‑class event, will be held virtually from July 25‑30, featuring theoretical and applied research on knowledge graph construction, explainable recommendation, and content generation, with a keynote by Meituan Waimai’s senior algorithm expert Maodi Hu.

ACM SIGIRAI applicationsknowledge graph

0 likes · 4 min read

TAL Education Technology

Jul 23, 2020 · Artificial Intelligence

Comprehensive Overview of Knowledge Graphs: Construction, Storage, and Applications in Recommendation Systems

This article provides a detailed introduction to knowledge graphs, covering their definition, why they are needed, the four basic triple types, construction pipelines (including data sources, crowdsourced vs automated methods, and schema versus data layers), storage and query techniques using graph and relational databases, and their practical applications such as enhancing precision, diversity, and explainability in recommendation systems through models like DKN, RippleNet, and graph neural networks.

AISemantic Webentity linking

0 likes · 15 min read

Comprehensive Overview of Knowledge Graphs: Construction, Storage, and Applications in Recommendation Systems

DataFunTalk

Jul 8, 2020 · Artificial Intelligence

Multi‑Level Multi‑Modal Search Engine and Graph Engine for Video Content at Youku

The article presents a detailed technical overview of Youku's video search system, covering multi‑modal inputs, multi‑level element indexing, face search, cross‑level and cross‑modal retrieval, and the design and applications of a multimodal graph engine with knowledge‑graph integration.

AIGraph engineMultimodal

0 likes · 12 min read

Multi‑Level Multi‑Modal Search Engine and Graph Engine for Video Content at Youku

Efficient Ops

Jul 7, 2020 · Operations

Leveraging Ops Data: Knowledge Graphs, Auto‑Fault Assessment & Unattended Changes

This article explores the breadth and challenges of operational data, outlines high‑level use cases such as knowledge graphs, automated fault assessment, unattended change management, and dynamic thresholds, and provides practical guidance for integrating these advanced scenarios into DevOps and AIOps workflows.

AIOpsDevOpsOperations Data

0 likes · 14 min read

Leveraging Ops Data: Knowledge Graphs, Auto‑Fault Assessment & Unattended Changes