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Pie Charts for Visualizing Query Term Frequency in Search Results

Terry AndersonContact Information, Ali HussamContact Information, Bill PlummerContact Information and Nathan JacobsContact Information

(6)  School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, BT37 0QB, Co. Antrim, UK
(7)  Computer Engineering and Computer Science Dept., University of Missouri-Columbia, 201 Engineering Building West, 65211 Columbia, MO, USA
Abstract
Search engine queries are normally brief but often return unmanageably long results, with which users struggle to determine document quality and relevance. In recent years, many studies have enhanced search results with metadata displayed as visual cues. Their success in helping users make faster and more accurate document judgments has been uneven, reflecting the wide range of information needs and document selection strategies of users, and also the relative effectiveness of different visualization forms. We identify the frequency with which query terms are found in a document as a straightforward and effective way for users to see the relationship between their query and the search results. In our prototype, we display these frequencies using simple pie charts. Despite performance limitations, evaluation with 101 users has been promising and suggests future developments.

Contact Information Terry Anderson
Email: tj.anderson@ulster.ac.uk

Contact Information Ali Hussam
Email: HussamA@missouri.edu

Contact Information Bill Plummer
Email: PlummerB@missouri.edu

Contact Information Nathan Jacobs
Email: nate@missouri.edu
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