1.

Record Nr.

UNINA9910845091303321

Autore

Goharian Nazli

Titolo

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

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024

ISBN

3-031-56060-4

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (505 pages)

Collana

Lecture Notes in Computer Science, , 1611-3349 ; ; 14609

Altri autori (Persone)

TonellottoNicola

HeYulan

LipaniAldo

McDonaldGraham

MacdonaldCraig

OunisIadh

Disciplina

025.04

Soggetti

Information storage and retrieval systems

Database management

Data mining

Natural language processing (Computer science)

Machine learning

Information Storage and Retrieval

Database Management System

Data Mining and Knowledge Discovery

Natural Language Processing (NLP)

Machine Learning

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

information retrieval -- retrieval models and architectures -- classification -- query processing and ranking -- efficiency and scalability -- deep learning and neural models -- natural language processing -- graph models -- web search -- recommender systems -- web and social media apps -- professional and domain-specific search -- novel interfaces to search tools -- intelligent search --



conversational agents.-evaluation retrieval systems -- bias -- ethics -- fake news and hate speech.

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. .