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Advances on graph-based approaches in information retrievalfirst international workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024, proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances on graph-based approaches in information retrievaledited by Ludovico Boratto ... [et al.].
Reminder of title:	first international workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024, proceedings /
remainder title:	IRonGraphs 2024
other author:	Boratto, Ludovico.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	ix, 89 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Natural language processing (Computer science)
Online resource:	https://doi.org/10.1007/978-3-031-71382-8
ISBN:	9783031713828$q(electronic bk.)

Advances on graph-based approaches in information retrievalfirst international workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024, proceedings /
Advances on graph-based approaches in information retrievalfirst international workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024, proceedings /[electronic resource] :IRonGraphs 2024edited by Ludovico Boratto ... [et al.]. - Cham :Springer Nature Switzerland :2025. - ix, 89 p. :ill., digital ;24 cm. - Communications in computer and information science,21971865-0937 ;. - Communications in computer and information science ;229..

.-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.

ISBN: 9783031713828$q(electronic bk.)

Standard No.: 10.1007/978-3-031-71382-8doiSubjects--Topical Terms:

857892
Natural language processing (Computer science)

LC Class. No.: HF5415.525 / .A383 2024

Dewey Class. No.: 658.812

Advances on graph-based approaches in information retrievalfirst international workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024, proceedings /
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