DocumentCode :
2866965
Title :
A study on individualized intelligent web search based on neural networks
Author :
Chenming, Bai ; Haoliang, Wang ; Yi, Niu ; Yongcong, Yang
Author_Institution :
Dept. of Comput. & Inf. Sci., Dongguan Univ. of Technol., Dongguan, China
Volume :
13
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
In view of defects of the web search engine in users´ individualization and declining rate of effective search, the author proposes and develops a neural networks-based intelligent search model, which is aimed at pre-processing users´ behavioural information, mining valuable messages for users with neural networks and building knowledge base so as to bring a new search into being. Statistics show that this model has good overall performance.
Keywords :
Internet; neural nets; search engines; Web search engine; individualized intelligent Web search model; neural networks; Artificial neural networks; Computational modeling; Indexes; Knowledge based systems; Mathematical model; Search engines; Web search; Intelligent Search; Neural Networks; Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5622778
Filename :
5622778
Link To Document :
بازگشت