• DocumentCode
    357711
  • Title

    A visual technique to indicate overall and component relevancy of search-engine results

  • Author

    Grewal, Ratvinder Singh ; Jackson, Mike ; Burden, Peter ; Wallis, Jon

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Wolverhampton Polytech., UK
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    608
  • Lastpage
    612
  • Abstract
    The paper presents a tool for visualising search engine results: the R-Wheel. Four experiments are described. The first experiment looks at whether users can differentiate the importance of terms in a multi-term query. The second considers the use of the R-Wheel in recognising overall relevance. The third looks at the ability of users to use the R-Wheel to determine the most relevant results to a multi-term query. The fourth experiment compares the R-Wheel to traditional representations and asks users which representation they found the easiest to interpret. The paper concludes that users interpret the R-Wheel representation more correctly than others, and that users prefer the R-Wheel to other representations
  • Keywords
    data visualisation; information resources; relevance feedback; search engines; R-Wheel; component relevancy; most relevant results; multi-term query; overall relevance; search engine result relevancy; search engine result visualisation; visual technique; Costs; Data visualization; Indexing; Information retrieval; Information technology; Search engines; Testing; Web sites; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2000. Proceedings. 11th International Workshop on
  • Conference_Location
    London
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-0680-1
  • Type

    conf

  • DOI
    10.1109/DEXA.2000.875087
  • Filename
    875087