Image de couverture de livre

Building Data-Driven Occupation Taxonomies: A Bottom-Up Multi-Stage Approach via Semantic Clustering and Multi-Agent Collaboration

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Nan, Kang, Bo, De Bie, Tijl
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Content-Agnostic Moderation for Stance-Neutral Recommendation
par: Li, Nan, et autres
Publié: (2024)

Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis
par: Pan, Yu, et autres
Publié: (2024)

Taxonomy-guided Semantic Indexing for Academic Paper Search
par: Kang, SeongKu, et autres
Publié: (2024)

Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning
par: Guan, Zhong, et autres
Publié: (2024)

DIVER: A Multi-Stage Approach for Reasoning-intensive Information Retrieval
par: Sun, Duolin, et autres
Publié: (2025)

A Multi-Agent Approach to Neurological Clinical Reasoning
par: Sorka, Moran, et autres
Publié: (2025)

MADREC: A Multi-Aspect Driven LLM Agent for Explainable and Adaptive Recommendation
par: Park, Jiin, et autres
Publié: (2025)

KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces
par: Rogiers, Alexander, et autres
Publié: (2024)

AutoData: A Multi-Agent System for Open Web Data Collection
par: Ma, Tianyi, et autres
Publié: (2025)

Dynamic Evaluation Framework for Personalized and Trustworthy Agents: A Multi-Session Approach to Preference Adaptability
par: Shah, Chirag, et autres
Publié: (2025)

MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendation
par: Wu, Yuqian, et autres
Publié: (2024)

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation
par: Du, Kounianhua, et autres
Publié: (2024)

GraphRunner: A Multi-Stage Framework for Efficient and Accurate Graph-Based Retrieval
par: Kashmira, Savini, et autres
Publié: (2025)

Distillation-based Scenario-Adaptive Mixture-of-Experts for the Matching Stage of Multi-scenario Recommendation
par: Wang, Ruibing, et autres
Publié: (2025)

Credentials in the Occupation Ontology
par: Beverley, John, et autres
Publié: (2024)

WideSeek: Advancing Wide Research via Multi-Agent Scaling
par: Huang, Ziyang, et autres
Publié: (2026)

GridMind: A Multi-Agent NLP Framework for Unified, Cross-Modal NFL Data Insights
par: Chipka, Jordan, et autres
Publié: (2025)

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy
par: Kang, SeongKu, et autres
Publié: (2024)

Do Agents Need Semantic Metadata? A Comparative Study in Agentic Data Retrieval
par: Chen, Shiyu, et autres
Publié: (2026)

SAKR: Enhancing Retrieval-Augmented Generation via Streaming Algorithm and K-Means Clustering
par: Kang, Haoyu, et autres
Publié: (2024)

Self-Optimizing Multi-Agent Systems for Deep Research
par: Câmara, Arthur, et autres
Publié: (2026)

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information
par: Song, Chonggang, et autres
Publié: (2024)

CARTS: Collaborative Agents for Recommendation Textual Summarization
par: Chen, Jiao, et autres
Publié: (2025)

AI Prior Art Search: Semantic Clusters and Evaluation Infrastructure
par: Genin, Boris, et autres
Publié: (2025)

R3-REC: Reasoning-Driven Recommendation via Retrieval-Augmented LLMs over Multi-Granular Interest Signals
par: Miao, Yuchen, et autres
Publié: (2026)

Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization
par: Li, Guanghan, et autres
Publié: (2024)

HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction
par: Zhou, Jie, et autres
Publié: (2023)

Towards Unified and Adaptive Cross-Domain Collaborative Filtering via Graph Signal Processing
par: Lee, Jeongeun, et autres
Publié: (2024)

Multi-Stage Verification-Centric Framework for Mitigating Hallucination in Multi-Modal RAG
par: Chen, Baiyu, et autres
Publié: (2025)

Beyond Control-Flow: Integrating the Resource Perspective into Multi-Collaborative Process Modeling from Text
par: Antonov, Anton, et autres
Publié: (2026)

Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
par: Gong, Shuzhi, et autres
Publié: (2026)

MATRAG: Multi-Agent Transparent Retrieval-Augmented Generation for Explainable Recommendations
par: Mehta, Sushant
Publié: (2026)

Addressing Labelled Data Scarcity: Taxonomy-Agnostic Annotation of PII Values in HTTP Traffic using LLMs
par: Cory, Thomas, et autres
Publié: (2026)

Asymmetric Generative Recommendation via Multi-Expert Projection and Multi-Faceted Hierarchical Quantization
par: Huang, Bin, et autres
Publié: (2026)

Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data
par: Jiang, Nan, et autres
Publié: (2024)

Clue-RAG: Towards Accurate and Cost-Efficient Graph-based RAG via Multi-Partite Graph and Query-Driven Iterative Retrieval
par: Su, Yaodong, et autres
Publié: (2025)

SeDa: A Unified System for Dataset Discovery and Multi-Entity Augmented Semantic Exploration
par: Ling, Kan, et autres
Publié: (2026)

Citation-Driven Multi-View Training for Patent Embeddings: QaECTER and Sophia-Bench
par: Djemmal, Younes, et autres
Publié: (2026)

A Model-based Multi-Agent Personalized Short-Video Recommender System
par: Zhou, Peilun, et autres
Publié: (2024)

MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification
par: Chen, Yiqun, et autres
Publié: (2024)