The growth of the Web and other Big Data sources lead to important performance problems for large-scale and distributed information retrieval systems. The scalability and efficiency of such information retrieval systems have an impact on their effectiveness, eventually affecting the experience of their users and monetization as well. The LSDS-IR'15 workshop will provide space for researchers to discuss the existing performance problems in the context of large-scale and distributed information retrieval systems and define new research directions in the modern Big Data era. The workshop expects to bring together information retrieval practitioners from the industry, as well as academic researchers concerned with any aspect of large-scale and distributed information retrieval systems.

LSDS-IR'15: 2015 Workshop on large-scale and distributed systems for information retrieval

Tonellotto N
2015

Abstract

The growth of the Web and other Big Data sources lead to important performance problems for large-scale and distributed information retrieval systems. The scalability and efficiency of such information retrieval systems have an impact on their effectiveness, eventually affecting the experience of their users and monetization as well. The LSDS-IR'15 workshop will provide space for researchers to discuss the existing performance problems in the context of large-scale and distributed information retrieval systems and define new research directions in the modern Big Data era. The workshop expects to bring together information retrieval practitioners from the industry, as well as academic researchers concerned with any aspect of large-scale and distributed information retrieval systems.
2015
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
978-1-4503-3794-6
Web search
large-scale information retrieval
distributed information retrieval
efficiency
performance
File in questo prodotto:
File Dimensione Formato  
prod_424341-doc_151321.pdf

solo utenti autorizzati

Descrizione: LSDS-IR'15: 2015 Workshop on large-scale and distributed systems for information retrieval
Tipologia: Versione Editoriale (PDF)
Dimensione 349.98 kB
Formato Adobe PDF
349.98 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/411696
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact