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A Three Level Search Engine Index Based in Query Log Distribution

  • Ricardo Baeza-Yates
  • Felipe Saint-Jean
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2857)

Abstract

Queries to a search engine follow a power-law distribution, which is far from uniform. Hence, it is natural to adapt a search engine index to the query distribution. In this paper we present a three level memory organization for a search engine inverted file index that includes main and secondary memory, as well as precomputed answers, such that the use of main memory and the answer time are significantly improved. We include experimental results as well as an analytical model.

Keywords

Main Memory Answer Time Secondary Memory Inverted List Query Word 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Ricardo Baeza-Yates
    • 1
  • Felipe Saint-Jean
    • 1
  1. 1.Center for Web Research, Department of Computer ScienceUniversidad de Chile, Blanco EncaladaSantiagoChile

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