Advances in Information Retrieval 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024, Proceedings, Part I /
Advances in Information Retrieval 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024, Proceedings, Part I / [electronic resource] :
edited by Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis.
- 1st ed. 2024.
- XXXI, 488 p. 93 illus., 87 illus. in color. online resource.
- Lecture Notes in Computer Science, 14608 1611-3349 ; .
- Lecture Notes in Computer Science, 14608 .
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. .
9783031560279
10.1007/978-3-031-56027-9 doi
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.
QA75.5-76.95
025.04
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. .
9783031560279
10.1007/978-3-031-56027-9 doi
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.
QA75.5-76.95
025.04