DocumentCode :
2408667
Title :
Study on Personalized Service Technology Based on Deep Web Database
Author :
Luo, Rong ; Zhang, Min-Xia ; Gong, Yu-Xi
Author_Institution :
Inst. of Comput. Eng., Qingdao Technol. Univ., Qingdao, China
fYear :
2009
fDate :
15-16 May 2009
Firstpage :
268
Lastpage :
270
Abstract :
With the development of personalized service technology, analyze the status of deep Web database and personalized service, put forward one new method of personalized service according to user behavior currently in deep Web database, discuss the key technology. The experiment shows the system can conquer the limitation of personalized service too depend on the user behavior.
Keywords :
Internet; database management systems; deep Web database; personalized service technology; Automation; Collaboration; Computer industry; Data engineering; Databases; Information filtering; Information filters; Mechatronics; Quality management; Statistics; cluster; deep web database; personalized service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3817-4
Type :
conf
DOI :
10.1109/ICIMA.2009.5156612
Filename :
5156612
Link To Document :
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