• DocumentCode
    14237
  • Title

    Building Better Search Engines by Measuring Search Quality

  • Author

    Voorhees, Ellen M. ; Over, Paul ; Soboroff, Ian

  • Author_Institution
    Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
  • Volume
    16
  • Issue
    2
  • fYear
    2014
  • fDate
    Mar.-Apr. 2014
  • Firstpage
    22
  • Lastpage
    30
  • Abstract
    Search engines help users locate information within large stores of content developed for human consumption. For example, users expect Web search engines to direct searchers to websites based on the content of the site rather than the site address, and future video search engines to return video clips based on the actions recorded in the clip rather than filenames and donor tags. Search engines are developed using standard sets of realistic test cases that allow developers to measure the relative effectiveness of alternative approaches. The NIST Text Retrieval Conference (TREC) project has been instrumental in creating the necessary infrastructure to measure the quality of search results for more than 20 years, and has thus helped fuel the recent explosive growth in search-related technologies. This article is part of a special issue on NIST contributions to IT.
  • Keywords
    Web sites; search engines; NIST Text Retrieval Conference project; TREC project; Web search engines; Web sites; search quality measurement; search results quality; search-related technologies; video clips; video search engines; Content management; Human factors; Information retrieval; Multimedia communication; NIST; Performance evaluation; Search engines; Search methods; Standards organizations; Text mining; effectiveness measurement; information retrieval; information technology; multimedia search;
  • fLanguage
    English
  • Journal_Title
    IT Professional
  • Publisher
    ieee
  • ISSN
    1520-9202
  • Type

    jour

  • DOI
    10.1109/MITP.2013.105
  • Filename
    6679042