DocumentCode :
3323571
Title :
Evaluating Usability of a Long Query Meta Search Engine
Author :
Taksa, Isak ; Spink, Amanda
Author_Institution :
Zicklin Sch. of Bus., City Univ. of New York, NY
fYear :
2007
fDate :
Jan. 2007
Firstpage :
82
Lastpage :
82
Abstract :
Usability is an important factor for search engine acceptance. This paper examines usability of a long query meta search engine. The engine was designed to accept and process an unlimited size query expressed in natural language. We briefly review current search engine usability research and then apply some of the common metrics to various tasks of the search and retrieval process beginning with query formulation and concluding with knowledge discovery in relevant search results. We report on users´ utilization of many features offered by the engine which enhance the search experience, increase the quality of the search results and improve the usability measurements. Additionally, the implications of this study on the advancement of search engine development are discussed
Keywords :
data mining; natural languages; query formulation; search engines; knowledge discovery; long query meta search engine; natural language; query formulation; retrieval process; usability evaluation; Australia; Educational institutions; Force measurement; Information retrieval; Information technology; Metasearch; Natural languages; Search engines; Usability; Web search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 2007. HICSS 2007. 40th Annual Hawaii International Conference on
Conference_Location :
Waikoloa, HI
ISSN :
1530-1605
Electronic_ISBN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2007.214
Filename :
4076535
Link To Document :
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