The impact of caching on search engines (Contributo in atti di convegno)

Type
Label
  • The impact of caching on search engines (Contributo in atti di convegno) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1145/1277741.1277775 (literal)
Alternative label
  • Baeza-Yates R.; Gionis A.; Junqueira F.; Murdock V.; Plachouras V.; Silvestri F. (2007)
    The impact of caching on search engines
    in 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Amsterdam, Netherland, 23-27 July 2007
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Baeza-Yates R.; Gionis A.; Junqueira F.; Murdock V.; Plachouras V.; Silvestri F. (literal)
Pagina inizio
  • 183 (literal)
Pagina fine
  • 190 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://dl.acm.org/citation.cfm?id=1277775&CFID=106740534&CFTOKEN=21970113 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • SIGIR '07 The 30th Annual International SIGIR Conference Amsterdam -- July 23 - 27, 2007 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (Amsterdam, Netherland, 23-27 July 2007). Proceedings, pp. 183 - 190. ACM, 2007. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • ABSTRACT: In this paper we study the trade-offs in designing efficient caching systems for Web search engines. We explore the impact of different approaches, such as static vs. dynamic caching, and caching query results vs. caching posting lists. Using a query log spanning a whole year we explore the limitations of caching and we demonstrate that caching posting lists can achieve higher hit rates than caching query answers. We propose a new algorithm for static caching of posting lists, which outperforms previous methods. We also study the problem of finding the optimal way to split the static cache between answers and posting lists. Finally, we measure how the changes in the query log affect the effectiveness of static caching, given our observation that the distribution of the queries changes slowly over time. Our results and observations are applicable to different levels of the data-access hierarchy, for instance, for a memory/disk layer or a broker/remote server layer. (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Yahoo! Research, Barcelona (Baeza-Yates R.; Gionis A.; Junqueira F.; Murdock V.; Plachouras V.;) CNR-ISTI, Pisa (Silvestri) (literal)
Titolo
  • The impact of caching on search engines (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-59593-597-7 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Wessel Kraaij;Arjen P. de Vries;Charles L. A. Clarke;Norbert Fuhr;Noriko Kando (literal)
Abstract
  • In this paper we study the trade-offs in designing efficient caching systems for Web search engines. We explore the impact of different approaches, such as static vs. dynamic caching, and caching query results vs. caching posting lists. Using a query log spanning a whole year we explore the limitations of caching and we demonstrate that caching posting lists can achieve higher hit rates than caching query answers. We propose a new algorithm for static caching of posting lists, which outperforms previous methods. We also study the problem of finding the optimal way to split the static cache between answers and posting lists. Finally, we measure how the changes in the query log affect the effectiveness of static caching, given our observation that the distribution of the queries changes slowly over time. Our results and observations are applicable to different levels of the data-access hierarchy, for instance, for a memory/disk layer or a broker/remote server layer. (literal)
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Prodotto
Autore CNR di
Insieme di parole chiave di
data.CNR.it