E-Book, Englisch, 89 Seiten
Boratto / Malitesta / Marras Advances on Graph-Based Approaches in Information Retrieval
Erscheinungsjahr 2024
ISBN: 978-3-031-71382-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
First International Workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024, Proceedings
E-Book, Englisch, 89 Seiten
Reihe: Communications in Computer and Information Science
ISBN: 978-3-031-71382-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.-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.
