• DocumentCode
    2751477
  • Title

    An Evaluation of Popular Search Engines on Finding Turkish Documents

  • Author

    Demirci, Rabia Gülçin ; Kismir, Vildan ; Bitirim, Yiltan

  • Author_Institution
    Comput. Eng. Dept., Eastern Mediterranean Univ., Famagusta
  • fYear
    2007
  • fDate
    13-19 May 2007
  • Firstpage
    61
  • Lastpage
    61
  • Abstract
    This article investigates the information retrieval performance of popular search engines on finding Turkish documents. First of all, five popular search engines (Google, Yahoo, Msn, All the Web and Ask) and a list of Turkish queries are determined. Each query is run on each search engine one by one and first twenty documents on each retrieval output are evaluated as being ´relevant´ and ´non-relevant´. Then, for evaluation of search engines precision and normalized recall ratios are calculated at various cut-off points for each query and search engine. Furthermore, the results are used to make comparison of the search engines with local search engines. Overall,-Google appears to be the best search engine in terms of average precision (73%) and normalized recall ratios (66%), on finding Turkish documents. However, local search engines have lower information retrieval performance to finding Turkish documents and need more improvement than international search engines.
  • Keywords
    document handling; query processing; search engines; Turkish documents; Turkish queries; information retrieval; search engines; Content based retrieval; Delay; Information retrieval; Internet; Search engines; Software design; Time measurement; Web pages; Web sites; World Wide Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet and Web Applications and Services, 2007. ICIW '07. Second International Conference on
  • Conference_Location
    Morne
  • Print_ISBN
    0-7695-2844-9
  • Electronic_ISBN
    0-7695-2844-9
  • Type

    conf

  • DOI
    10.1109/ICIW.2007.15
  • Filename
    4222963