BestHub
Sign in
Tagged articles
427 articles
Page 4 of 5
DataFunTalk
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.

Event ExtractionKnowledge GraphSearch
0 likes · 22 min read
Advances in Baidu Knowledge Graph: Technologies, Applications, and Future Directions
JD Cloud Developers
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-3Knowledge Graph
0 likes · 18 min read
2020 NLP Milestones & Future Trends: Insights from JD’s AI Scientist
DataFunTalk
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.

AIInformation ExtractionKnowledge Graph
0 likes · 12 min read
OpenIE‑Based Knowledge Graph Construction for Vertical Domains
DataFunTalk
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.

Knowledge GraphRecommendation Systemsartificial intelligence
0 likes · 12 min read
Hot Topic Mining and Expansion Using User‑Behavior Graph Embedding for Recommendation Systems
DataFunTalk
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
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.

CompletionKnowledge GraphLogical Reasoning
0 likes · 14 min read
Advances in Knowledge Graph Completion: Methods, Challenges, and Future Directions
DataFunTalk
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.

Financial AIKnowledge Graphentity extraction
0 likes · 14 min read
Construction and Application of Financial Knowledge Graphs
21CTO
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.

Big DataBlockchainKnowledge Graph
0 likes · 8 min read
5 Emerging Big Data Trends Shaping Business, Health, and Climate in 2021
DataFunTalk
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.

Knowledge GraphMeituanNLP
0 likes · 22 min read
Intelligent Question Answering Technology Framework and Practices at Meituan
DataFunSummit
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.

Information ExtractionKnowledge Graphartificial intelligence
0 likes · 16 min read
Construction and Application of Financial Knowledge Graphs: AI Key Technologies, Building Practices, and Real‑World Use Cases
DataFunTalk
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.

Knowledge Graphartificial intelligenceconference
0 likes · 7 min read
DataFunTalk Year-End Knowledge Graph Forum – Schedule, Speakers, and Registration Details
Meituan Technology Team
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 2020Knowledge Graph
0 likes · 13 min read
Meituan Knowledge Graph Group's Six Papers Accepted at CIKM 2020
JD Tech Talk
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
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 DataKnowledge Graph
0 likes · 76 min read
DataFunTalk Annual Conference – Full Program and Speaker Details
DataFunSummit
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 GraphOpenIE
0 likes · 18 min read
Vertical Domain Knowledge Graph Construction with OpenIE Techniques
DataFunTalk
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.

AIBaiduInformation Extraction
0 likes · 22 min read
Baidu Event Graph: Technology, Construction, and Applications
DataFunTalk
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 InfrastructureBig DataData Governance
0 likes · 18 min read
Building Next‑Generation Data Intelligence Infrastructure with Knowledge Graphs: From New Infrastructure to Cognitive AI Platforms
DataFunTalk
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 AlgorithmsKnowledge Graphinterest evolution
0 likes · 20 min read
NetEase Cloud Music Recommendation System: Architecture, Challenges, and AI‑Driven Solutions
Tencent Cloud Developer
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.

AIKBQAKnowledge Graph
0 likes · 11 min read
Design of a Symbolic Evaluation Set for Knowledge Question Answering (KBQA)
DataFunSummit
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.

Knowledge Graphartificial intelligencecognitive intelligence
0 likes · 18 min read
Building Next‑Generation Data Intelligence Infrastructure with Knowledge Graphs: From New Infrastructure to Cognitive AI
DataFunTalk
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 applicationsKnowledge GraphXiaomi
0 likes · 22 min read
Xiaomi Knowledge Graph: Architecture, Key Technologies, and Business Applications
DataFunTalk
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.

AIEmbeddingKnowledge Graph
0 likes · 13 min read
Knowledge Graph Reasoning: Deductive, Inductive, and Embedding‑Based Methods
DataFunTalk
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.

AIKnowledge GraphSearch
0 likes · 16 min read
Intelligent E‑commerce Search: Architecture, Techniques, and Real‑World Impact
JD Cloud Developers
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 estimationKnowledge GraphRecommendation Systems
0 likes · 21 min read
How JD Leverages Knowledge Graphs for Better E‑commerce Interest Recall
DataFunTalk
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.

Knowledge Graphinformation retrievalmedical search
0 likes · 18 min read
Query Term Weighting Techniques for Medical Search: Statistical, Supervised, and Neural Approaches
AntTech
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.

DROPKnowledge GraphNLP
0 likes · 7 min read
Question Directed Graph Attention Network for Numerical Reasoning over Text (QDGAT)
DataFunTalk
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.

AlibabaKnowledge GraphNLP
0 likes · 22 min read
AliCoCo: Alibaba’s E‑commerce Cognitive Concept Net – Architecture, Construction, and Applications
DataFunTalk
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.

Big DataFlinkKnowledge Graph
0 likes · 15 min read
Graph‑Based Real‑Time Content Update Architecture at Youku: Challenges, Design, and Practice
Suning Technology
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.

Deep LearningKnowledge GraphLog Analytics
0 likes · 17 min read
How AI Powers Large‑Scale Time Series Forecasting and Root‑Cause Analysis
JD Tech Talk
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 NetworkKnowledge Graph
0 likes · 6 min read
JD Digits' Intelligent Anti‑Fraud Platform: AI‑Driven Real‑Time Fraud Detection and Knowledge‑Graph Solutions
DataFunTalk
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.

AlibabaKnowledge Graphentity extraction
0 likes · 31 min read
Knowledge Graph Construction and Applications in Alibaba B2B E‑commerce
DataFunTalk
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.

Knowledge GraphMultimodal AIRecommendation Systems
0 likes · 46 min read
WeChat 'Kan Kan' Content Understanding: Architecture and Techniques for Recommendation
Meituan Technology Team
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
43rd ACM SIGIR 2020 Conference Overview
TAL Education Technology
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.

AIKnowledge Graphentity linking
0 likes · 15 min read
Comprehensive Overview of Knowledge Graphs: Construction, Storage, and Applications in Recommendation Systems
DataFunTalk
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.

AIKnowledge Graphface search
0 likes · 12 min read
Multi‑Level Multi‑Modal Search Engine and Graph Engine for Video Content at Youku
Efficient Ops
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.

AutomationDevOpsKnowledge Graph
0 likes · 14 min read
Leveraging Ops Data: Knowledge Graphs, Auto‑Fault Assessment & Unattended Changes
DataFunTalk
DataFunTalk
Jun 29, 2020 · Databases

Distributed Graph Database Practice at Beike: From JanusGraph to Dgraph

This article presents Beike's experience building a large‑scale graph database platform, covering the need for graph databases, technology selection between JanusGraph and Dgraph, detailed architecture, data ingestion pipelines, query interfaces, performance benchmarks, and future roadmap.

DgraphJanusGraphKnowledge Graph
0 likes · 24 min read
Distributed Graph Database Practice at Beike: From JanusGraph to Dgraph
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 16, 2020 · Databases

How Youku Scales Billions of Video Nodes with Real‑Time Graph Databases

Facing billions of video entities and edges, Youku’s engineering team replaced traditional relational stores with a graph‑based knowledge platform, leveraging Alibaba’s Blink streaming engine and Lindorm to enable real‑time, incremental updates, unified UDF logic, and scalable feature computation for search and recommendation.

Big DataKnowledge GraphReal-time Streaming
0 likes · 10 min read
How Youku Scales Billions of Video Nodes with Real‑Time Graph Databases
DataFunTalk
DataFunTalk
Jun 12, 2020 · Artificial Intelligence

Content Understanding for Advertising on Weibo: Challenges, Solutions, and Applications

This article explains how Weibo's advertising platform leverages content understanding—covering system architecture, problems caused by insufficient comprehension, the construction of NLP and vision capabilities, content‑based ad strategies, and a celebrity‑brand knowledge graph—to improve ad relevance and ROI.

AdvertisingKnowledge GraphNLP
0 likes · 13 min read
Content Understanding for Advertising on Weibo: Challenges, Solutions, and Applications
DataFunTalk
DataFunTalk
May 21, 2020 · Artificial Intelligence

Query Expansion Techniques for Search Optimization: Models, Data Sources, and Practical Practices

This article reviews the factors influencing search results, explains why query expansion is crucial for improving recall, surveys various sources of expansion terms, describes probabilistic and translation‑based models, and offers practical recommendations for building effective, data‑driven query expansion pipelines.

Knowledge Graphinformation retrievalmachine learning
0 likes · 11 min read
Query Expansion Techniques for Search Optimization: Models, Data Sources, and Practical Practices
DataFunTalk
DataFunTalk
Apr 12, 2020 · Artificial Intelligence

Wang Zhe’s Machine Learning Notes – Answers to Frequently Asked Questions on Recommendation Systems

In this article, Wang Zhe addresses fifteen common questions about recommendation systems, covering topics such as building cross‑domain knowledge, the role of deep reinforcement learning, handling sparse or low‑sample data, offline‑online evaluation, knowledge graphs, graph neural networks, model interpretability, large‑scale ID embedding, and career advice for engineers.

Deep LearningGraph Neural NetworkKnowledge Graph
0 likes · 14 min read
Wang Zhe’s Machine Learning Notes – Answers to Frequently Asked Questions on Recommendation Systems
DataFunTalk
DataFunTalk
Apr 2, 2020 · Artificial Intelligence

Building and Applying an Industry Knowledge Graph: Lessons from Beike Real Estate

The article explains how Beike Real Estate constructs an industry knowledge graph by integrating internal and external data, outlines the technical framework and data processing steps, and demonstrates its AI-driven applications such as intelligent Q&A, recommendation, and decision support for the real‑estate market.

AI applicationsData IntegrationKnowledge Graph
0 likes · 8 min read
Building and Applying an Industry Knowledge Graph: Lessons from Beike Real Estate
DataFunTalk
DataFunTalk
Apr 1, 2020 · Artificial Intelligence

Knowledge Graph‑Based Multimodal Semantic Understanding at Baidu

This article outlines Baidu's large‑scale knowledge graph applications in AI, detailing the need for multimodal semantic understanding, challenges in text and video comprehension, and the technical solutions including entity annotation, conceptization, knowledge networks, and multimodal fusion for enhanced search, recommendation, and visual question answering.

Knowledge GraphVisual Question Answeringconceptualization
0 likes · 15 min read
Knowledge Graph‑Based Multimodal Semantic Understanding at Baidu
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 31, 2020 · Artificial Intelligence

How Alibaba’s AliCoCo Knowledge Graph Revolutionizes E‑Commerce Search & Recommendation

Alibaba’s AliCoCo, a large‑scale e‑commerce cognitive concept net, models user needs as graph nodes, linking concepts, primitives, taxonomy and items, and leverages advanced NLP, BiLSTM‑CRF, projection learning and knowledge‑enhanced models to boost search relevance, recommendation diversity, and overall user experience.

Knowledge Graphe‑commercenatural language processing
0 likes · 25 min read
How Alibaba’s AliCoCo Knowledge Graph Revolutionizes E‑Commerce Search & Recommendation
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 24, 2020 · Artificial Intelligence

How Knowledge Graphs and GNNs Boost HS Code Classification Accuracy

This article explores how integrating unstructured business data into structured knowledge graphs and applying graph neural networks can overcome deep‑learning bottlenecks in NLP, dramatically improving HS‑code product classification accuracy from around 60% to over 75% through richer reasoning and multimodal knowledge.

AIGNNGraph Neural Network
0 likes · 20 min read
How Knowledge Graphs and GNNs Boost HS Code Classification Accuracy
DataFunTalk
DataFunTalk
Mar 19, 2020 · Artificial Intelligence

Advances in Voice Interaction: 360's Intelligent Dialogue System Architecture and Core Technologies

This article presents a comprehensive overview of 360's voice interaction platform, detailing dialogue system fundamentals, platform architecture, and core technologies such as semantic understanding, dialog management, and question answering, all driven by deep learning and multimodal innovations.

AIKnowledge Graphdialogue system
0 likes · 16 min read
Advances in Voice Interaction: 360's Intelligent Dialogue System Architecture and Core Technologies
DataFunTalk
DataFunTalk
Mar 13, 2020 · Artificial Intelligence

Knowledge Graph Assisted Personalized Recommendation Systems

Personalized recommendation systems, essential for modern internet platforms, can be enhanced by knowledge graphs which provide auxiliary information to improve accuracy, diversity, and explainability, with various methods such as embedding-based (DKN, MKR), path-based, and hybrid approaches like RippleNet and KGCN.

KG-awareKnowledge GraphRecommendation Systems
0 likes · 21 min read
Knowledge Graph Assisted Personalized Recommendation Systems
JD Tech Talk
JD Tech Talk
Mar 9, 2020 · Artificial Intelligence

Advances in Deep Learning for Content Recommendation and User Behavior Modeling by JD Digits

The article reviews recent deep‑learning breakthroughs in personalized content recommendation, covering news and e‑commerce systems, JD Digits' multi‑dimensional user behavior prediction models, knowledge‑graph meta‑learning, and the impact of multimodal AI on future recommendation technologies.

Deep LearningKnowledge GraphMultimodal AI
0 likes · 6 min read
Advances in Deep Learning for Content Recommendation and User Behavior Modeling by JD Digits
DataFunTalk
DataFunTalk
Mar 4, 2020 · Artificial Intelligence

Building and Applying Relationship Graphs at Beike Real Estate: Architecture, Embedding, and Recommendation

The talk explains how Beike Real Estate constructs a large‑scale relationship graph from billions of user, house, and agent interactions, quantifies edge strengths, builds homogeneous and heterogeneous sub‑graphs, derives graph capabilities such as node influence, embedding, similarity and relation prediction, and finally deploys these capabilities in multi‑degree queries, house‑similarity recommendations and B‑side agent assistance, achieving measurable CTR improvements.

AIKnowledge Graphgraph embedding
0 likes · 17 min read
Building and Applying Relationship Graphs at Beike Real Estate: Architecture, Embedding, and Recommendation
Efficient Ops
Efficient Ops
Feb 18, 2020 · Operations

How Intelligent Ops Transforms Monitoring: Multi‑Dimensional Anomaly Detection & Smart Alert Merging

This article presents the 2019 GOPS Global Operations Conference talk by Gong Cheng, detailing how intelligent monitoring leverages multi‑dimensional anomaly detection, machine‑learning‑based alert merging, knowledge‑graph construction, and root‑cause analysis to automate and improve large‑scale IT operations.

Knowledge GraphRoot Cause Analysisalert merging
0 likes · 22 min read
How Intelligent Ops Transforms Monitoring: Multi‑Dimensional Anomaly Detection & Smart Alert Merging
DataFunTalk
DataFunTalk
Feb 14, 2020 · Artificial Intelligence

OpenKG COVID‑19 Knowledge Graphs: Datasets, Schemas, and Applications

The OpenKG initiative, together with dozens of university and industry partners, has released a series of open‑source COVID‑19 knowledge graphs—including encyclopedia, research, clinical, hero, hotspot‑event, and upcoming prevention and resource graphs—detailing their data sources, scale, schema designs, and potential AI‑driven applications such as semantic search and intelligent question answering.

AICOVID-19Dataset
0 likes · 11 min read
OpenKG COVID‑19 Knowledge Graphs: Datasets, Schemas, and Applications
DataFunTalk
DataFunTalk
Feb 12, 2020 · Artificial Intelligence

Beike's Risk Control System: Leveraging Knowledge Graphs and Graph Analytics

The article details how Beike's Agent Cooperation Network employs a multi‑layered risk control framework built on large‑scale knowledge graphs, graph mining, and machine‑learning techniques to detect fake listings, malicious competition, and other threats across both online and offline real‑estate scenarios.

Knowledge Graphgraph analyticsmachine learning
0 likes · 10 min read
Beike's Risk Control System: Leveraging Knowledge Graphs and Graph Analytics
DataFunTalk
DataFunTalk
Jan 20, 2020 · Artificial Intelligence

The Second Half of Knowledge Graphs: Opportunities and Challenges

This comprehensive report analyzes the evolution of knowledge graphs, reviews achievements of the first half, and examines the challenges and opportunities of the emerging second half, highlighting shifts from large‑scale simple applications to complex, expert‑driven scenarios, and outlining strategies for representation, acquisition, and application in the era of big data and AI.

AIKnowledge EngineeringKnowledge Graph
0 likes · 30 min read
The Second Half of Knowledge Graphs: Opportunities and Challenges
Hulu Beijing
Hulu Beijing
Jan 3, 2020 · Artificial Intelligence

How Dynamically Pruned Message Passing Networks Revolutionize Large‑Scale Knowledge Graph Reasoning

The Hulu AI team’s ICLR‑2020 paper introduces a consciousness‑prior‑driven graph neural network that dynamically prunes message‑passing subgraphs, achieving state‑of‑the‑art results on large‑scale knowledge‑graph completion tasks while improving interpretability and computational efficiency.

AI reasoningGraph Neural NetworkKnowledge Graph
0 likes · 7 min read
How Dynamically Pruned Message Passing Networks Revolutionize Large‑Scale Knowledge Graph Reasoning
Beike Product & Technology
Beike Product & Technology
Dec 31, 2019 · Artificial Intelligence

Knowledge Graph and Distributed Graph Database Practices at Beike Zhaofang

The article reports on Beike Zhaofang's knowledge‑graph technology conference, detailing how relationship graphs are applied to risk control, the four‑layer graph architecture, the use of Spark GraphX, JanusGraph and DGraph, and broader industry‑graph applications in real‑estate AI solutions.

Knowledge GraphReal Estateartificial intelligence
0 likes · 12 min read
Knowledge Graph and Distributed Graph Database Practices at Beike Zhaofang
DataFunTalk
DataFunTalk
Dec 30, 2019 · Artificial Intelligence

Technical Trends in Recommendation Systems: From Retrieval to Re‑ranking

This article surveys recent advances in recommendation system technology, covering the evolution from a two‑stage recall‑ranking pipeline to a four‑stage architecture, and detailing emerging trends in model‑based recall, user‑behavior sequence modeling, knowledge‑graph integration, graph neural networks, advanced ranking models, multi‑objective optimization, multimodal fusion, and listwise re‑ranking.

Knowledge GraphRecommendation Systemsgraph neural networks
0 likes · 45 min read
Technical Trends in Recommendation Systems: From Retrieval to Re‑ranking
DataFunTalk
DataFunTalk
Dec 11, 2019 · Artificial Intelligence

Knowledge Structuring and Applications in Alibaba's Xiaomì Chatbot: From KBQA to EBQA

This article presents an in‑depth overview of Alibaba's Xiaomì conversational AI system, describing how structured knowledge—including FAQs, phrase‑based knowledge, knowledge graphs, and machine‑read documents—is organized into a two‑level schema and applied to knowledge‑based QA (KBQA) and event‑based QA (EBQA) with detailed model pipelines, ranking, type inference, and recommendation techniques, while also discussing practical challenges and future directions.

AIEBQAKBQA
0 likes · 15 min read
Knowledge Structuring and Applications in Alibaba's Xiaomì Chatbot: From KBQA to EBQA
DataFunTalk
DataFunTalk
Dec 9, 2019 · Artificial Intelligence

Automatic Construction of Knowledge Graphs: Methods, Challenges, and Applications

This article reviews the principles, techniques, and challenges of automatically building knowledge graphs, covering logical modeling, latent‑space analysis, human‑computer interaction, ontology support, and practical pipelines, and illustrates their use in network behavior analysis, intelligent Q&A, and recommendation systems.

Human-Computer InteractionKnowledge GraphOntology
0 likes · 17 min read
Automatic Construction of Knowledge Graphs: Methods, Challenges, and Applications
HomeTech
HomeTech
Nov 20, 2019 · Artificial Intelligence

Query Understanding and Intent Recognition in Search: Methods, Taxonomy, and Applications

This article explains how query understanding (QP) transforms user search queries into structured semantic blocks and intent categories using rule‑based NLP, entity recognition, and post‑processing, and describes its taxonomy, implementation details, and practical impact on search engine results.

Knowledge GraphNLPQuery Understanding
0 likes · 16 min read
Query Understanding and Intent Recognition in Search: Methods, Taxonomy, and Applications
DataFunTalk
DataFunTalk
Nov 20, 2019 · Artificial Intelligence

Advances and Reflections on Human‑Machine Dialogue Technologies

This presentation reviews recent progress in spoken and multimodal dialogue systems, covering X‑driven architectures, task‑oriented and open‑domain approaches, NLU/DM integration, FAQ, KB/KG‑driven methods, document‑driven dialogue, and outlines remaining challenges and future research directions.

Dialogue SystemsKnowledge Graphartificial intelligence
0 likes · 21 min read
Advances and Reflections on Human‑Machine Dialogue Technologies
58 Tech
58 Tech
Nov 15, 2019 · Artificial Intelligence

From Zero to One: Building a Personalized Recommendation System for 58.com Recruitment Platform

This article presents a comprehensive case study of how 58.com built a personalized recommendation system for its large‑scale recruitment platform, covering business background, data challenges, user modeling, recall strategies, ranking pipelines, system architecture, experimental infrastructure, and future research directions.

AB testingKnowledge Graphfeature engineering
0 likes · 18 min read
From Zero to One: Building a Personalized Recommendation System for 58.com Recruitment Platform
DataFunTalk
DataFunTalk
Nov 15, 2019 · Artificial Intelligence

MT-BERT: Domain‑Adapted BERT Pre‑training and Fine‑tuning for Meituan‑Dianping NLP Tasks

This article describes the development of MT‑BERT, a BERT‑based language model pre‑trained on Meituan‑Dianping business data, its distributed mixed‑precision training pipeline, domain adaptation, knowledge‑graph integration, model compression techniques, and the wide range of downstream NLP applications achieved in the platform.

BERTKnowledge GraphMeituan
0 likes · 31 min read
MT-BERT: Domain‑Adapted BERT Pre‑training and Fine‑tuning for Meituan‑Dianping NLP Tasks
DataFunTalk
DataFunTalk
Nov 15, 2019 · Artificial Intelligence

From Zero to One: Building 58.com Recruitment Personalized Recommendation System

This article details how 58.com constructed a large‑scale personalized recommendation platform for its recruitment business, covering business background, user intent modeling, knowledge‑graph and NER techniques, user profiling, multi‑stage recall strategies, ranking model pipelines, serving infrastructure, AB testing, and future research directions.

CTRCVRKnowledge Graph
0 likes · 18 min read
From Zero to One: Building 58.com Recruitment Personalized Recommendation System
Meituan Technology Team
Meituan Technology Team
Nov 14, 2019 · Artificial Intelligence

MT-BERT: Pre‑training and Fine‑tuning Practices at Meituan‑Dianping

MT‑BERT at Meituan‑Dianping combines mixed‑precision, domain‑adapted continual pre‑training, knowledge‑graph‑aware masking, and extensive compression techniques to produce fast, accurate BERT models that power fine‑grained sentiment analysis, intent classification, recommendation reasoning, and other NLP tasks across the platform.

BERTKnowledge GraphMT-BERT
0 likes · 33 min read
MT-BERT: Pre‑training and Fine‑tuning Practices at Meituan‑Dianping
DataFunTalk
DataFunTalk
Nov 11, 2019 · Artificial Intelligence

Knowledge Graph‑Based Question Answering in Meituan’s Intelligent Interaction Scenarios

This talk presents how Meituan leverages knowledge‑graph QA (KBQA) across restricted and complex smart‑interaction scenarios, compares semantic‑parsing and information‑retrieval approaches, introduces three‑layer concept nodes to handle entity explosion and non‑connected queries, and outlines architectural refinements for multi‑turn dialogue integration.

AIDialogue SystemsKnowledge Graph
0 likes · 14 min read
Knowledge Graph‑Based Question Answering in Meituan’s Intelligent Interaction Scenarios
58 Tech
58 Tech
Nov 4, 2019 · Operations

Intelligent Operations Practices: Multi‑Dimensional Anomaly Detection, Alarm Merging, Knowledge‑Graph Construction, and Root‑Cause Analysis

This article summarizes the keynote on intelligent operations presented at the 13th GOPS Global Operations Conference, covering multi‑dimensional anomaly detection, smart alarm aggregation, the construction of an operations knowledge graph, and AI‑driven root‑cause analysis techniques for large‑scale server environments.

Knowledge GraphOperationsRoot Cause Analysis
0 likes · 9 min read
Intelligent Operations Practices: Multi‑Dimensional Anomaly Detection, Alarm Merging, Knowledge‑Graph Construction, and Root‑Cause Analysis
360 Tech Engineering
360 Tech Engineering
Oct 31, 2019 · Operations

AIOps Implementation Practice at 360: Architecture, Models, and Automation

The article details 360's AIOps deployment, covering external speaker insights, internal architecture, data collection pipelines, AI models for resource recycling, alarm reduction, and correlation, as well as visualization dashboards, labeling platforms, and self‑healing mechanisms, illustrating a comprehensive AI‑driven operations framework.

AI MonitoringKnowledge GraphOperations Automation
0 likes · 14 min read
AIOps Implementation Practice at 360: Architecture, Models, and Automation
DataFunTalk
DataFunTalk
Oct 21, 2019 · Artificial Intelligence

Challenges and Future Directions of Chatbots: From Virtual Life to Multimodal Interaction

This talk analyzes the technical and practical challenges of current chatbots, introduces the next‑generation paradigm of virtual life, and details how AI technologies such as speech, vision, NLP, and knowledge graphs can be combined with multimodal interaction to create more intelligent and engaging conversational agents.

AIChatbotKnowledge Graph
0 likes · 25 min read
Challenges and Future Directions of Chatbots: From Virtual Life to Multimodal Interaction
DataFunTalk
DataFunTalk
Sep 17, 2019 · Artificial Intelligence

Machine Learning for Personalized Education Paths – Case Study and Reflections

This lecture explores how machine learning can generate individualized learning pathways for students by building knowledge dependency graphs, defining optimization goals, and leveraging historical data to rank candidate routes, while reflecting on data, model, business, and demand challenges in AI-driven education.

AIBig DataKnowledge Graph
0 likes · 10 min read
Machine Learning for Personalized Education Paths – Case Study and Reflections
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 11, 2019 · Artificial Intelligence

How Cognitive Concept Graphs Power Modern Search Understanding

This article explains the motivation, challenges, architecture, and algorithms behind building a large‑scale cognitive concept graph for search, detailing data construction, concept mining, fusion, confidence scoring, hierarchical structuring, validation, service algorithms, platform access, and real‑world applications such as intent recognition and entity recommendation.

Knowledge GraphNLPcognitive concept graph
0 likes · 19 min read
How Cognitive Concept Graphs Power Modern Search Understanding
Tencent Cloud Developer
Tencent Cloud Developer
Sep 1, 2019 · Artificial Intelligence

Fundamentals and Practical Implementation of Knowledge Graphs and Attribute Extraction

The article surveys the evolution and core components of knowledge graphs—from early Linked Data concepts to modern semantic networks—detailing the end‑to‑end pipeline of data acquisition, cleaning, extraction, and fusion, and showcases Tencent Cloud’s Merak framework and encyclopedia KG, highlighting model choices, performance benchmarks, and real‑world applications such as recommendation and intelligent Q&A.

AIBERTKnowledge Graph
0 likes · 13 min read
Fundamentals and Practical Implementation of Knowledge Graphs and Attribute Extraction
DataFunTalk
DataFunTalk
Aug 30, 2019 · Artificial Intelligence

Knowledge Structuring for Intelligent Customer Service Upgrade: Alibaba's Knowledge Graph QA Approach

This report explains how Alibaba uses knowledge graph construction, semantic parsing, and structured answer generation to overcome knowledge management and language understanding challenges in next‑generation intelligent customer service, delivering efficient reuse, precise comprehension, and fine‑grained management of knowledge.

AIIntelligent Customer ServiceKnowledge Graph
0 likes · 17 min read
Knowledge Structuring for Intelligent Customer Service Upgrade: Alibaba's Knowledge Graph QA Approach
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 7, 2019 · Artificial Intelligence

How KOBE Transforms Personalized Recommendation Reason Generation with Transformers

This article introduces KOBE, a knowledge‑based personalized text generation system that leverages Transformer architecture, attribute fusion, and external knowledge graphs to produce fluent, domain‑aware recommendation reasons for e‑commerce products, with a case study on the Spring Festival cloud theme.

Knowledge GraphText GenerationTransformer
0 likes · 13 min read
How KOBE Transforms Personalized Recommendation Reason Generation with Transformers
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 24, 2019 · Artificial Intelligence

Unlocking Better Knowledge Graph Reasoning: The CrossE Model Explained

CrossE introduces an explicit crossover interaction mechanism for knowledge graph embedding, learning both general and interaction-specific representations of entities and relations, which improves link prediction accuracy and provides interpretable explanations, as demonstrated on benchmark datasets WN18, FB15k, and FB15k-237.

EmbeddingInterpretabilityKnowledge Graph
0 likes · 9 min read
Unlocking Better Knowledge Graph Reasoning: The CrossE Model Explained
AntTech
AntTech
Jul 21, 2019 · Artificial Intelligence

Alipay’s SIGIR 2019 Papers: Reinforcement Learning for User Intent Prediction and Unsupervised QUEST for Complex Question Answering

At SIGIR 2019 in Paris, Alipay presented two AI research papers—one applying reinforcement learning to predict user intent in customer‑service bots and another introducing the unsupervised QUEST method that builds noisy quasi‑knowledge graphs for answering complex multi‑document questions.

AIKnowledge GraphUnsupervised Learning
0 likes · 5 min read
Alipay’s SIGIR 2019 Papers: Reinforcement Learning for User Intent Prediction and Unsupervised QUEST for Complex Question Answering
DataFunTalk
DataFunTalk
May 29, 2019 · Artificial Intelligence

General‑Domain Conversational QA: Technologies, Challenges, and Alibaba UC’s Practice

This article reviews the evolution, architecture, and key technical challenges of general‑domain conversational QA systems, describing Alibaba UC’s search background, dialogue bot types, data pipelines, and advanced methods such as transfer learning, few‑shot learning, and multi‑dimensional dialogue management.

AlibabaDialogue SystemsFew‑Shot Learning
0 likes · 12 min read
General‑Domain Conversational QA: Technologies, Challenges, and Alibaba UC’s Practice
Beike Product & Technology
Beike Product & Technology
May 23, 2019 · Artificial Intelligence

Applying Knowledge Graph Technology to Real Estate Search: Product Overview and Technical Architecture

This article introduces the "Kelu Fang" product, which leverages knowledge graph, NLU, and ranking technologies to enhance real‑estate search by adding commute‑based filtering and a local view of surrounding facilities, and discusses its architecture, implementation details, and future improvement directions.

AIKnowledge GraphNLU
0 likes · 11 min read
Applying Knowledge Graph Technology to Real Estate Search: Product Overview and Technical Architecture
DataFunTalk
DataFunTalk
May 21, 2019 · Artificial Intelligence

Multimodal Video Analysis and Its Applications: Intelligent Asset Management, Automatic Cover Generation, Knowledge Graph, and Search

This article presents a comprehensive overview of Alibaba's large entertainment division research on multimodal video analysis, covering intelligent video asset management, automated cover creation with personalized distribution, video knowledge graph construction, multimodal search techniques, and future directions in AI-driven media processing.

AIKnowledge Graphcover generation
0 likes · 17 min read
Multimodal Video Analysis and Its Applications: Intelligent Asset Management, Automatic Cover Generation, Knowledge Graph, and Search
Architecture Digest
Architecture Digest
May 13, 2019 · Artificial Intelligence

Enterprise Knowledge Graphs: Development Trends, Use Cases, Database Selection, and Implementation Practices

This article outlines the evolution of knowledge graphs, describes typical enterprise application scenarios, compares graph database options such as Neo4j, Cayley and Dgraph, and presents a six‑step methodology for building, storing, and applying knowledge graphs in large‑scale business environments.

Data IntegrationEnterprise AIKnowledge Graph
0 likes · 13 min read
Enterprise Knowledge Graphs: Development Trends, Use Cases, Database Selection, and Implementation Practices
Architects' Tech Alliance
Architects' Tech Alliance
Apr 28, 2019 · Big Data

Marketing Data Middle Platform: Definition, Benefits, Architecture and Technical Innovations

This article explains the concept of a marketing data middle platform, its origins, the expectations of advertisers, how it differs from traditional data warehouses, the technical challenges of data governance, analysis and real‑time output, the role of knowledge graphs, system architecture, data sources, and the three main forms—Data Lake, CDP and DMP—offering a comprehensive overview for marketers and data professionals.

CDPDMPKnowledge Graph
0 likes · 18 min read
Marketing Data Middle Platform: Definition, Benefits, Architecture and Technical Innovations
JD Retail Technology
JD Retail Technology
Apr 12, 2019 · R&D Management

Balancing Business Demands and Technical Advancement: Insights from JD’s Data Knowledge Leader Li Wei

In an interview, JD data platform leader Li Wei discusses how dynamic balance between business demands and technical improvement, knowledge computing, and AI-driven product quality control can drive innovation, enhance user experience, and shape future R&D management strategies.

Knowledge GraphProduct DevelopmentR&D management
0 likes · 8 min read
Balancing Business Demands and Technical Advancement: Insights from JD’s Data Knowledge Leader Li Wei
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 8, 2019 · Artificial Intelligence

How Alibaba Builds a Massive E‑Commerce Concept Graph to Power Search & Recommendation

This article explains how Alibaba’s Search & Recommendation team constructs a large‑scale e‑commerce concept graph—defining e‑commerce concepts, mining them from queries and titles, building an ontology, linking concepts to entities, and applying the graph to improve personalized search and recommendation.

Knowledge GraphOntologySearch
0 likes · 19 min read
How Alibaba Builds a Massive E‑Commerce Concept Graph to Power Search & Recommendation
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 1, 2019 · Artificial Intelligence

How Alibaba’s Knowledge Engine Advances AI with Adversarial NER and Graph Embedding

This article reviews Alibaba’s year‑long Knowledge Engine program, detailing its five‑module architecture, major technical breakthroughs such as automatic ontology building and deep‑learning alignment, and two flagship research works: adversarial learning for crowdsourced NER and an iterative rule‑and‑embedding reasoning framework.

AIKnowledge Graphadversarial learning
0 likes · 9 min read
How Alibaba’s Knowledge Engine Advances AI with Adversarial NER and Graph Embedding
DataFunTalk
DataFunTalk
Mar 15, 2019 · Artificial Intelligence

Designing Personalized, Dynamic, and Multimodal Knowledge Graphs for Chatbots

The article explores how chatbots require personalized dense knowledge graphs, dynamic temporal graphs, subjective emotion modeling, integration with external services, and multimodal media support, while also promoting a new NLP book and a related giveaway for readers.

AIChatbotDynamic Graph
0 likes · 9 min read
Designing Personalized, Dynamic, and Multimodal Knowledge Graphs for Chatbots
Tencent Cloud Developer
Tencent Cloud Developer
Mar 1, 2019 · Databases

From Google’s Graphd to Dgraph: Building Distributed Graph Database Systems

ManishRai Jain recounts his journey from Google’s single‑process Graphd, built for Freebase, to creating Dgraph, a distributed graph‑database that shards SPO triples by predicate, avoids fan‑out broadcasts, and supports deep traversals, illustrating the technical evolution and design choices behind modern scalable graph systems.

CerebroDgraphGoogle
0 likes · 21 min read
From Google’s Graphd to Dgraph: Building Distributed Graph Database Systems
Meituan Technology Team
Meituan Technology Team
Jan 17, 2019 · Artificial Intelligence

Evolution of Meituan-Dianping Search Core Ranking: From Traditional Models to LambdaDNN Listwise Deep Learning

The Meituan‑Dianping search team progressed its core ranking from linear, FM and GBDT models to a knowledge‑graph‑enhanced deep‑learning architecture, culminating in the listwise LambdaDNN network that directly optimizes NDCG, supported by extensive feature engineering, distributed TensorFlow training, and the Athena diagnostic system.

Deep LearningKnowledge GraphLambdaDNN
0 likes · 29 min read
Evolution of Meituan-Dianping Search Core Ranking: From Traditional Models to LambdaDNN Listwise Deep Learning
DataFunTalk
DataFunTalk
Jan 11, 2019 · Artificial Intelligence

Challenges in Natural Language Understanding and the Neural‑Symbolic Approach (Object‑Oriented Neural Programming)

The article examines why natural language understanding is intrinsically difficult, outlines four core linguistic challenges, proposes a neural‑symbolic integration framework with three design principles, introduces the Object‑Oriented Neural Programming (OONP) architecture, and showcases real‑world applications in public security, legal document analysis, and financial fraud detection.

AI researchKnowledge Graphneural-symbolic integration
0 likes · 16 min read
Challenges in Natural Language Understanding and the Neural‑Symbolic Approach (Object‑Oriented Neural Programming)
DataFunTalk
DataFunTalk
Dec 27, 2018 · Artificial Intelligence

Construction and Application of a Tourism Knowledge Graph

This article explains what a tourism knowledge graph is, discusses its architecture, construction methods, practical applications such as QA and recommendation, and explores future directions integrating knowledge graphs with deep learning and multi‑domain fusion.

AIKnowledge GraphNLP
0 likes · 10 min read
Construction and Application of a Tourism Knowledge Graph
Beike Product & Technology
Beike Product & Technology
Dec 6, 2018 · Artificial Intelligence

Designing and Deploying a Real‑Estate Dialogue System: Architecture, Challenges, and Practices

The talk outlines how Beike built a real‑estate conversational AI platform, covering the market need for dialogue systems, the five technical challenges, data‑driven intent and slot extraction, model choices such as FastText and Bi‑LSTM‑CRF, a three‑layer system architecture, multi‑intent handling, and future directions like 4D viewing and an internal AI dialogue platform.

BILSTM-CRFKnowledge GraphNLP
0 likes · 26 min read
Designing and Deploying a Real‑Estate Dialogue System: Architecture, Challenges, and Practices
DataFunTalk
DataFunTalk
Dec 4, 2018 · Artificial Intelligence

Application and Exploration of Financial Knowledge Graphs

This article presents a comprehensive overview of financial knowledge graphs, covering their historical evolution, theoretical foundations, technical stack, implementation steps, and real‑world case studies in banking, regulatory technology, and securities, while highlighting community resources for AI and big‑data practitioners.

AIBig DataFinancial AI
0 likes · 14 min read
Application and Exploration of Financial Knowledge Graphs
Meituan Technology Team
Meituan Technology Team
Nov 22, 2018 · Artificial Intelligence

Meituan Brain: Large‑Scale Knowledge Graph Construction and Applications

Meituan Brain builds a massive multi‑modal knowledge graph of billions of entities and triples across food, entertainment, and travel, using advanced extraction, validation, fusion, and reasoning techniques to empower search, recommendation, merchant tools, and fraud detection while addressing scalability and schema‑evolution challenges.

AIKnowledge GraphMeituan
0 likes · 28 min read
Meituan Brain: Large‑Scale Knowledge Graph Construction and Applications
Youku Technology
Youku Technology
Nov 2, 2018 · Artificial Intelligence

How AI Powers Next‑Gen Multimedia Content Retrieval: From OCR to Knowledge Graphs

This article examines the evolution of search, defines multimedia content retrieval, explores user scenarios such as voice, image, and video input, and details key AI techniques—including OCR, face recognition, and content knowledge graphs—that enable semantic understanding and ranking of video content.

Knowledge GraphOCRface recognition
0 likes · 12 min read
How AI Powers Next‑Gen Multimedia Content Retrieval: From OCR to Knowledge Graphs
Meituan Technology Team
Meituan Technology Team
Oct 18, 2018 · Artificial Intelligence

AI Challenger 2018: Global AI Competition and Technical Insights

The AI Challenger 2018 competition, co‑hosted by Innovation Workshop, Sogou, Meituan‑Dianping and Meitu, provides over ten new datasets, more than ten research and industry tracks, and prizes exceeding 3 million RMB, with Meituan‑Dianping debuting as organizer on fine‑grained sentiment analysis and autonomous‑driving perception tracks, and launching a technical salon offering live courses such as the October 24 session on knowledge graphs and Meitu’s AI brain.

AI competitionKnowledge GraphSentiment Analysis
0 likes · 6 min read
AI Challenger 2018: Global AI Competition and Technical Insights
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 18, 2018 · Artificial Intelligence

AI-Powered Smart Document Processing for International Trade

This article outlines how Alibaba engineers apply AI, image processing, natural language processing, and knowledge‑graph techniques to automate and secure the handling of complex, image‑heavy trade documents, dramatically improving efficiency, reducing risk, and enabling scalable, low‑cost solutions for SMEs in international commerce.

AIDocument AutomationImage Processing
0 likes · 14 min read
AI-Powered Smart Document Processing for International Trade
Efficient Ops
Efficient Ops
Oct 7, 2018 · Operations

How AIOps Can Turn IT Operations into Fully Unmanned Systems

This article explains the challenges of traditional human‑centric IT operations, introduces a quantitative unmanned‑operations rating method, describes how AIOps (AI for IT Operations) provides the perception‑decision‑action loop, and showcases intelligent fault detection and knowledge‑graph techniques that together enable a path toward fully autonomous operations.

Intelligent Fault DetectionKnowledge GraphOperations Rating
0 likes · 20 min read
How AIOps Can Turn IT Operations into Fully Unmanned Systems
iQIYI Technical Product Team
iQIYI Technical Product Team
Sep 28, 2018 · Artificial Intelligence

CCF Multimedia Committee Visit to iQIYI – AI, Knowledge Graph, and Multimedia Technology Presentations

During the CCF Multimedia Committee’s visit to iQIYI, senior researchers and professors presented cutting‑edge AI, knowledge‑graph‑driven content distribution, image‑text sentiment matching, and intelligent multimedia transmission technologies, while interactive tours of studios and labs deepened academia‑industry collaboration and highlighted iQIYI’s innovative multimedia ecosystem.

AICCFKnowledge Graph
0 likes · 8 min read
CCF Multimedia Committee Visit to iQIYI – AI, Knowledge Graph, and Multimedia Technology Presentations
Ctrip Technology
Ctrip Technology
Sep 27, 2018 · Artificial Intelligence

Application of Knowledge Graphs in the Internet Tourism Industry

This article examines the distinctive features of tourism-domain knowledge graphs, outlines methods for constructing them from internal and external data sources, and explores their practical applications such as question‑answering bots, personalized recommendation, and advanced search within the online travel sector.

AIKnowledge GraphTourism
0 likes · 11 min read
Application of Knowledge Graphs in the Internet Tourism Industry