DocumentCode :
3513462
Title :
Research and Design of Meta-search Engine Oriented Specialty
Author :
Li Guang-Ming ; Geng Wen-juan
Author_Institution :
Coll. of Electr. & Inf. Eng., Shaanxi Univ. of Sci. & Technol., Xi´an, China
fYear :
2010
fDate :
28-29 Oct. 2010
Firstpage :
204
Lastpage :
207
Abstract :
Meta-search engine uses multiple independent search engines to search information together. In order to search fast and accurately for the professional requirements, this paper developed a meta-search engine oriented the educational professional field. It fully analyzed the web page information, used CC4 neural network algorithm to judge the relevant web pages and optimal rank., and then combined the professional dictionary to filter the sort results. Finally, outputed the search results to users. The experimental results proved that the method improved the search quality to the specific specialty.
Keywords :
Web sites; computer aided instruction; meta data; neural nets; search engines; CC4 neural network; Web pages; educational professional field; meta search engine; Artificial neural networks; Dictionaries; Engines; Metasearch; Neurons; Search engines; Training; CC4 neural network algorithm; meta-search engine; optimal rank; professional dictionary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence Information Processing and Trusted Computing (IPTC), 2010 International Symposium on
Conference_Location :
Huanggang
Print_ISBN :
978-1-4244-8148-4
Electronic_ISBN :
978-0-7695-4196-9
Type :
conf
DOI :
10.1109/IPTC.2010.62
Filename :
5663069
Link To Document :
بازگشت