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Pie Charts for Visualizing Query Term Frequency in Search Results
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Pie Charts for Visualizing Query Term Frequency in Search Results
Terry Anderson6 , Ali Hussam7 , Bill Plummer7 and Nathan Jacobs7 
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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.
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