Free Delivery Over $100
|
|
|||
|
||||
OverviewThis 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. Full Product DetailsAuthor: Ludovico Boratto , Daniele Malitesta , Mirko Marras , Giacomo MeddaPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 2024 ed. Volume: 2197 ISBN: 9783031713811ISBN 10: 3031713818 Pages: 90 Publication Date: 21 November 2024 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Forthcoming Availability: Not yet available  This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
||||
