http://www.cnr.it/ontology/cnr/individuo/prodotto/ID206946
LSDS-IR'11: the 9th workshop on large-scale and distributed systems for information retrieval (Curatela)
- Type
- Label
- LSDS-IR'11: the 9th workshop on large-scale and distributed systems for information retrieval (Curatela) (literal)
- Anno
- 2011-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1145/2063576.2064054 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Lucchese, Claudio ; Cambazoglu, Berkant Barla (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://dl.acm.org/citation.cfm?id=2064054&dl=ACM&coll=DL&CFID=193830030&CFTOKEN=66577107 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- CIKM '11 Proceedings of the 20th ACM international conference on Information and knowledge management (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatori
- Lucchese C., Cambazoglu B. B. (literal)
- Note
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR-ISTI, Pisa, Italy ; Yahoo Research, Barcelona, Spain (literal)
- Titolo
- LSDS-IR'11: the 9th workshop on large-scale and distributed systems for information retrieval (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-1-4503-0717-8 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- Bettina Berendt ; Arjen de Vries ; Wenfei Fan ; Craig Macdonald ; Iadh Ounis ; Ian Ruthven (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#tipoDiCuratela
- Abstract
- The growth of the Web and user bases lead to important performance problems for large-scale Web search engines. The LSDS-IR '11 workshop focuses on research contributions re- lated to the scalability and efficiency of distributed information retrieval (IR) systems. The workshop also encourages contributions that propose different ways of leveraging diversity and multiplicity of resources available in distributed systems. More specifically, we are interested in novel applications, models, and architectures that deal with efficiency and scalability of distributed IR systems. (literal)
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