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