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DataFunTalk
DataFunTalk
Jun 20, 2024 · Artificial Intelligence

User Profiling Algorithms: From Ontology‑Based Methods to Deep Learning and Large Model Integration

This article provides a comprehensive overview of user profiling algorithms, covering the evolution from ontology‑based traditional methods to modern deep‑learning approaches, including structured label prediction, representation learning, active learning, and large‑model integration, while discussing challenges, practical applications, and future research directions.

active learningdeep learninglarge models
0 likes · 26 min read
User Profiling Algorithms: From Ontology‑Based Methods to Deep Learning and Large Model Integration
DataFunTalk
DataFunTalk
Apr 2, 2024 · Artificial Intelligence

User Portrait Algorithms: From Ontology‑Based Methods to Deep Learning and Future Directions

This article provides a comprehensive overview of user portrait algorithms, covering their historical development, ontology‑based traditional approaches, deep‑learning enhancements, representation‑learning techniques such as lookalike, active‑learning driven iteration, and the integration of large‑model world knowledge, while also discussing current challenges and future research directions.

active learningdeep learninglarge language models
0 likes · 26 min read
User Portrait Algorithms: From Ontology‑Based Methods to Deep Learning and Future Directions
HomeTech
HomeTech
Aug 12, 2022 · Artificial Intelligence

Construction and Application of an Automotive Knowledge Graph for Recommendation Systems

This article presents a comprehensive overview of building an automotive domain knowledge graph—from ontology design, data acquisition, and graph schema construction using JanusGraph, to its practical use in cold‑start, explanation, and ranking stages of recommendation systems—highlighting challenges, solutions, and performance benefits.

AIAutomotiveJanusGraph
0 likes · 24 min read
Construction and Application of an Automotive Knowledge Graph for Recommendation Systems
DataFunTalk
DataFunTalk
Jan 6, 2022 · Artificial Intelligence

Deep Application‑Driven Construction of Medical Knowledge Graphs

This article presents a comprehensive overview of medical knowledge graph development, covering global and domestic progress, domain characteristics, a detailed seven‑piece ontology and "Huizhi" graph construction process, platform support, and real‑world healthcare applications such as intelligent alerts, guideline recommendations, and data reporting.

HealthcareMedical Knowledge Graphartificial intelligence
0 likes · 11 min read
Deep Application‑Driven Construction of Medical Knowledge Graphs
DataFunTalk
DataFunTalk
Jan 5, 2022 · Artificial Intelligence

Graph-Based Methods for Hot Event Discovery, Long Text Matching, and Ontology Construction in Natural Language Processing

This talk presents a series of graph‑based techniques for natural language processing, including the Story Forest system for hot event discovery, the GIANT framework for ontology creation and user interest modeling, and a divide‑and‑conquer approach to long‑text matching that leverages graph neural networks and community detection.

Text Matchingevent detectiongraph mining
0 likes · 19 min read
Graph-Based Methods for Hot Event Discovery, Long Text Matching, and Ontology Construction in Natural Language Processing
DataFunSummit
DataFunSummit
Dec 28, 2021 · Artificial Intelligence

Deep Application‑Driven Construction of Medical Knowledge Graphs: Methods, Models, and Case Studies

This article presents a comprehensive overview of medical knowledge graph development, covering global and domestic progress, domain characteristics, a six‑step construction workflow—including schema design, ontology term set creation, and graph building—and showcases practical applications such as intelligent alerts, guideline recommendations, and data direct reporting.

HealthcareMedical Knowledge Graphartificial intelligence
0 likes · 11 min read
Deep Application‑Driven Construction of Medical Knowledge Graphs: Methods, Models, and Case Studies
DataFunTalk
DataFunTalk
Aug 22, 2021 · Artificial Intelligence

Fundamentals and Applications of Knowledge Graphs

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

AIKnowledge Graphbig data
0 likes · 16 min read
Fundamentals and Applications of Knowledge Graphs
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 Graphartificial intelligence
0 likes · 17 min read
Automatic Construction of Knowledge Graphs: Methods, Challenges, and Applications