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