skip to main content
10.1145/1555400.1555489acmconferencesArticle/Chapter ViewAbstractPublication PagesjcdlConference Proceedingsconference-collections
poster

Inter-search engine lexical signature performance

Published:15 June 2009Publication History

ABSTRACT

We generate lexical signatures (LSs) from web pages and acquire the mandatory document frequency values from three dierent search engine (SE) indexes. We cross-query the LSs against the two SEs they were not generated from and compare the retrieval performance by parsing the result set and analyzing the rank of the source URL.

References

  1. F. Keller and M. Lapata. Using the Web to Obtain Frequencies for Unseen Bigrams. Computational Linguistics, 29(3):459--484, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. M. Klein and M. L. Nelson. Revisiting Lexical Signatures to (Re-)Discover Web Pages. In Proceedings of ECDL '08, pages 371--382, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. S.-T. Park, D. M. Pennock, C. L. Giles, and R. Krovetz. Analysis of Lexical Signatures for Improving Information Persistence on the World Wide Web. ACM Trans. Inf. Syst., 22(4):540--572, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Inter-search engine lexical signature performance

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      JCDL '09: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
      June 2009
      502 pages
      ISBN:9781605583228
      DOI:10.1145/1555400

      Copyright © 2009 Copyright is held by the author/owner(s)

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 15 June 2009

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • poster

      Acceptance Rates

      Overall Acceptance Rate415of1,482submissions,28%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader