DocumentCode :
3076079
Title :
Research on an Algorithm of Metasearch Engine Based on Personalized Demand of Users
Author :
Yun, Xue ; Xiaoping, Shen ; Jianbin, Chen
Author_Institution :
Bus. Coll., Beijing Union Univ., Beijing, China
Volume :
1
fYear :
2010
fDate :
16-18 July 2010
Firstpage :
240
Lastpage :
243
Abstract :
In order to meet the personalized demand of users and help users to be more effective on selecting potentially useful search engines, this paper presented a metasearch engine algorithm that is based on personalized demands of users. According to practical demands of users, different select strategies of metasearch engine algorithm are designed. The experimental results show that selection strategy of the algorithm can reflect some effects by the certain characteristics of the member search engines. So, this algorithm will be widely used in the future.
Keywords :
meta data; search engines; metasearch engine algorithm; personalized users demand; Algorithm design and analysis; Databases; Engines; Metasearch; Search engines; Sorting; Time factors; Algorithm; Information retrieval; Metasearch engine; Personalization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications (IFITA), 2010 International Forum on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-7621-3
Electronic_ISBN :
978-1-4244-7622-0
Type :
conf
DOI :
10.1109/IFITA.2010.67
Filename :
5635104
Link To Document :
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