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.

List of contents

.-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.

Product details

• Assisted by: Ludovico Boratto (Editor), Daniele Malitesta (Editor), Mirko Marras (Editor), Mirko Marras et al (Editor), Giacomo Medda (Editor), Cataldo Musto (Editor), Erasmo Purificato (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 09.10.2024
• EAN: 9783031713811
• ISBN: 978-3-0-3171381-1
• No. of pages: 89
• Dimensions: 155 mm x 5 mm x 235 mm
• Weight: 166 g
• Illustrations: IX, 89 p. 30 illus., 27 illus. in color.
• Series: Communications in Computer and Information Science
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT