Advances on graph-based approaches in information retrieval first international workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024 : proceedings

.-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 Filt...

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Körperschaft: International Workshop on Graph-Based Approaches in Information Retrieval (VerfasserIn)
Weitere Verfasser: Boratto, Ludovico (HerausgeberIn), Malitesta, Daniele (HerausgeberIn), Marras, Mirko (HerausgeberIn), Medda, Giacomo (HerausgeberIn), Musto, Cataldo (HerausgeberIn), Purificato, Erasmo (HerausgeberIn)
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Sprache:eng
Veröffentlicht: Cham Springer 2025
Schriftenreihe:Communications in computer and information science 2197
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Zusammenfassung:.-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.
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
Beschreibung:Literaturangaben
Beschreibung:viii, 87 Seiten
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ISBN:9783031713811
978-3-031-71381-1