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
Link To Document :
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