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Advances in Information Retrieval [[electronic resource] ] : 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024, Proceedings, Part I / / edited by Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis



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Autore: Goharian Nazli Visualizza persona
Titolo: Advances in Information Retrieval [[electronic resource] ] : 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024, Proceedings, Part I / / edited by Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (514 pages)
Disciplina: 025.04
Soggetto topico: Information storage and retrieval systems
Data mining
Database management
Natural language processing (Computer science)
Machine learning
Information Storage and Retrieval
Data Mining and Knowledge Discovery
Database Management
Natural Language Processing (NLP)
Machine Learning
Altri autori: TonellottoNicola  
HeYulan  
LipaniAldo  
McDonaldGraham  
MacdonaldCraig  
OunisIadh  
Sommario/riassunto: The six-volume set LNCS 14608, 14609, 14609, 14610, 14611, 14612 and 14613 constitutes the refereed proceedings of the 46th European Conference on IR Research, ECIR 2024, held in Glasgow, UK, during March 24–28, 2024. The 57 full papers, 18 finding papers, 36 short papers, 26 IR4Good papers, 18 demonstration papers, 9 reproducibility papers, 8 doctoral consortium papers, and 15 invited CLEF papers were carefully reviewed and selected from 578 submissions. The accepted papers cover the state of the art in information retrieval focusing on user aspects, system and foundational aspects, machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search. .
Titolo autorizzato: Advances in Information Retrieval  Visualizza cluster
ISBN: 3-031-56027-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996589545603316
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Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 14608