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Visualizing Search Term Relevance, Boolean Operators, and Phrases using the CirSA Chart
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Visualizing Search Term Relevance, Boolean Operators, and Phrases using the CirSA Chart

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Ratvinder Singh Grewal

Ratvinder Singh Grewal
Dept. of Mathematics and Computer Science, Laurentian University, Ramsey Lake Road, Sudbury, ON, Canada.

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    Visualizing Search Term Relevance, Boolean Operators, and Phrases using the CirSA Chart Visualizing Search Term Relevance, Boolean Operators, and Phrases using the CirSA Chart Presentation Transcript

    • Visualizing Search-Term Relevance, Boolean Operators, and Phrases using the CirSA Chart Ratvinder Grewal, PhD Dept. of Mathematics & Computer Science Laurentian University Sudbury, ON P3E 2E6 [email_address] http://www.cs.laurentian.ca/rsgrewal/ Funded by LURF
    • What and Why
      • Major current search engines reviewed
      • Use a visual representation to overcome this problem
      • Major current search engines reviewed
        • Overall relevance score undefined
        • Contribution of each term not revealed
        • How much relevance does the ambiguous term bulb contribute towards the search query energy saving bulb ?
        • Can the average user understand the query ((beetle OR bug) AND convertible) AND NOT “mark 2” ?
    • CirSA ( Cir cle- S ector- A rc) Chart
      • No. of terms in the query
      • Individual term relevance
      • Relative relevance
      • Overall relevance
      • Term irrelevance (i.e., NOT)
      • Boolean operators between terms
      • 2D circle
      • Represent relevance of a search result
      • Specify relevance of a search query
      ( beetle OR bug ) AND NOT convertible
      • Divided into equal sectors (e.g., 3)
      • Each term is allocated a unique colour
      • An arc is drawn in each sector
      80% 60% 10% How it works: What it shows: It can be used to:
      • Each sector represents a term in the query
      • The area covered by the arc is the same colour and in proportion to the relevance of the term
    • Usability Testing
      • Previous tests have shown:
        • Users are aware terms in a multi-term query do not have equal importance.
        • Using the CirSA chart users can correctly assess the ranking of simulated search-engine results for multi-term queries that have unequal overall relevance.
        • User can correctly shade each sector of a CirSA chart in proportion to the relevance of the term represented by that sector.
        • Users find the CirSA chart the easiest representation to interpret compared to other visual and non-visual representations tested.
        • Users more accurately rank CirSA charts than the other representations tested.
        • User can correctly rank CirSA charts representing simulated search-engine results that have the same overall relevance but unequal term relevance.
      • New tests will see if users can:
        • Decode a CirSA chart representing Boolean operators?
        • Specify Boolean operators onto a CirSA chart?
        • Intuit how to specify phrases onto a CirSA chart?
    • Test One: Decoding Boolean operators from a CirSA chart
      • Objective: Test whether users can decode Boolean operators from the CirSA chart.
      • Task: Using the information shown on the CirSA chart rewrite the simulated search query inserting Boolean operators between the appropriate terms/phrases.
      beetle bug convertible ----------------------------------------------- beetle OR bug AND NOT convertible E.G.
      • Results:
      Find out in the article!
    • Test Two: Specify Boolean operators and phrases onto a CirSA chart
      • Objective: Test whether users can specify Boolean operators onto a CirSA chart, and intuit how phrases should be specified.
      • Results:
      • Task: Identify the terms/phrases in the simulated query by circling them in a different colour. Assign each term/phrase an arbitrary percentage to represents its relevance, and then represent this relevance and the Boolean operators onto the CirSA chart.
      (beetle OR bug) AND NOT convertible 70% 50% 90% E.G. Find out in the article!
    • Interested in knowing more? Read the full article in the conference proceedings for InSciT 2006. Visualizing Search-Term Relevance, Boolean Operators, and Phrases using the CirSA Chart Further reading: Grewal, R. S., Jackson, M., Wallis, J. and Burden, P. (1999) Using Visualisation to Interpret Search Engine Results. In Clarke, D., Dix, A. and Dix, F. (eds.) Proceedings of The Active Web . Staffordshire University, UK, 20 January. Staffordshire University, UK, pp. 15-25. Grewal, R. S., Jackson, M., Burden, P. and Wallis, J. (1999) A Novel Interface for Interpreting Search Engine Results. Proceedings of Lost in the Web: Navigation on the Internet. Savoy Place, London, 2 November. Savoy Place, London: IEE Press, pp. 7/1-7/10. Grewal, R. S., Jackson, M., Burden, P. and Wallis, J. (2000) A Visual Representation of Search-engine Queries and their Results. In Li, Q., Ozsoyoglu, Z. M., Wagner, R., Kambayashi, Y. and Zhang, Y. (eds.) Proceedings of the 1 st International Conference on Web Information Systems Engineering. Hong Kong, China, 19-21 June. Los Alamitos, California: IEEE Computer Society Press, pp. 352-356. Grewal, R. S., Jackson, M., Burden, P. and Wallis, J. (2000) A Visual Technique to Indicate Overall and Component Relevancy of Search-engine Results. In Tjoa, A. M., Wagner, R. R. and Al-Zobaidie, A. (eds) Proceedings of the 11 th International Workshop on Database and Expert Systems Applications (DEXA). Greenwich, London, 4-8 September. Los Alamitos, California: IEEE Computer Society Press, pp. 608-612. Grewal, R. S. (2001) A Visual Metaphor-Based Tool for a Search-engine User Interface. Ph.D. Thesis, University of Wolverhampton.