Advances on Graph-Based Approaches in Information Retrieval
Springer International Publishing (Verlag)
9783031713811 (ISBN)
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.
.-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.
| Erscheinungsdatum | 11.10.2024 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | IX, 89 p. 30 illus., 27 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| 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 • Recommendation • Search • Semantic Understanding |
| ISBN-13 | 9783031713811 / 9783031713811 |
| Zustand | Neuware |
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