Advances on Graph-Based Approaches in Information Retrieval
First International Workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024, Proceedings
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.
| ISBN: | 9783031713811 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 89 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Boratto, Ludovico Malitesta, Daniele Marras, Mirko Medda, Giacomo Musto, Cataldo Purificato, Erasmo |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 10.10.2024 |
| Untertitel: | First International Workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024, Proceedings |
| Schlagworte: | Algorithms Graph-Based Models for Information Retrieval Graph-Based Query Expansion Graph-Based Ranking Methods Graph Neural Networks Graphs Information Retrieval Knowledge Graphs Personalised Search and Recommendation Semantic Understanding |
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