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Advances on Graph-Based Approaches in Information Retrieval : First International Workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024, Proceedings / / edited by Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda, Cataldo Musto, Erasmo Purificato



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Titolo: Advances on Graph-Based Approaches in Information Retrieval : First International Workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024, Proceedings / / edited by Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda, Cataldo Musto, Erasmo Purificato Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (98 pages)
Disciplina: 658.812
Soggetto topico: Natural language processing (Computer science)
Machine learning
Information storage and retrieval systems
Database management
Data mining
Natural Language Processing (NLP)
Machine Learning
Information Storage and Retrieval
Database Management System
Data Mining and Knowledge Discovery
Persona (resp. second.): BorattoLudovico
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: .-Soccer-GraphRAG: Applications of GraphRAG in Soccer. -- Enhanced Semantic Understanding with Graph-based Information Retrieval. -- Identifying Shopping Intent in Product QA for Proactive Recommendations. -- KGUF: Simple Knowledge-aware Graph-based Recommender with User-based Semantic Features Filtering. -- The Effectiveness of Graph Contrastive Learning on Mathematical Information Retrieval. -- The Impact of Source-Target Node Distance on Vicious Adversarial Attacks in Social Network Recommendation Systems.
Sommario/riassunto: This book constitutes the refereed proceedings of the First International Workshop on Graph-Based Approaches in Information Retrieval, IRonGraphs 2024, held in Glasgow, UK, on March 24, 2024. The 6 full papers included in this book were carefully reviewed and selected from 14 submissions. They focus on diverse novel contributions, with presentations on knowledge-aware graph-based recommender systems using user-based semantic features filtering, source-target node distance impacts on adversarial attacks in social network recommendations.
Titolo autorizzato: Advances on Graph-Based Approaches in Information Retrieval  Visualizza cluster
ISBN: 3-031-71382-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910983342003321
Lo trovi qui: Univ. Federico II
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Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 2197