• DocumentCode
    3323571
  • Title

    Evaluating Usability of a Long Query Meta Search Engine

  • Author

    Taksa, Isak ; Spink, Amanda

  • Author_Institution
    Zicklin Sch. of Bus., City Univ. of New York, NY
  • fYear
    2007
  • fDate
    Jan. 2007
  • Firstpage
    82
  • Lastpage
    82
  • Abstract
    Usability is an important factor for search engine acceptance. This paper examines usability of a long query meta search engine. The engine was designed to accept and process an unlimited size query expressed in natural language. We briefly review current search engine usability research and then apply some of the common metrics to various tasks of the search and retrieval process beginning with query formulation and concluding with knowledge discovery in relevant search results. We report on users´ utilization of many features offered by the engine which enhance the search experience, increase the quality of the search results and improve the usability measurements. Additionally, the implications of this study on the advancement of search engine development are discussed
  • Keywords
    data mining; natural languages; query formulation; search engines; knowledge discovery; long query meta search engine; natural language; query formulation; retrieval process; usability evaluation; Australia; Educational institutions; Force measurement; Information retrieval; Information technology; Metasearch; Natural languages; Search engines; Usability; Web search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 2007. HICSS 2007. 40th Annual Hawaii International Conference on
  • Conference_Location
    Waikoloa, HI
  • ISSN
    1530-1605
  • Electronic_ISBN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2007.214
  • Filename
    4076535