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Advances in Information Retrieval

af Brian Davis, Udo Kruschwitz, Fabio Crestani, Cathal Gurrin, Jaap Kamps, Lorraine Goeuriot, Maria Maistro, Annalina Caputo, Hideo Joho

indgår i Lecture Notes in Computer Science serien

Advances in Information Retrieval af Brian Davis
Bag om Advances in Information Retrieval

The three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration papers, 12 reproducibility papers consortium papers, 7 tutorial papers, and 10 doctorial consortium papers were carefully reviewed and selected from 489 submissions. The book also contains, 8 workshop summaries and 13 CLEF Lab descriptions. 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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783031282379
  • Indbinding:
  • Paperback
  • Sideantal:
  • 736
  • Udgivet:
  • 17. Marts 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 155x40x235 mm.
  • Vægt:
  • 1095 g.
  • 2-3 uger.
  • 9. Oktober 2024
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- Adgang til 70.000+ titler
- Ingen binding

Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.

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Beskrivelse af Advances in Information Retrieval

The three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023.

The 65 full papers, 41 short papers, 19 demonstration papers, 12 reproducibility papers consortium papers, 7 tutorial papers, and 10 doctorial consortium papers were carefully reviewed and selected from 489 submissions. The book also contains, 8 workshop summaries and 13 CLEF Lab descriptions. 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.

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