DocumentCode :
2346859
Title :
The Key Technology Research of Intelligent Information Syndication
Author :
Shang, Wenqian ; Wang, Tong ; Lv, Rui
Author_Institution :
Sch. of Comput., Commun. Univ. of China, Beijing, China
fYear :
2011
fDate :
15-19 April 2011
Firstpage :
865
Lastpage :
867
Abstract :
With the development of network, the online information has greatly enriched. It is increasingly difficult to obtain the desired information. The search engine can solve some problems, but far from satisfying people\´s needs. With the development of Web 2.0, RSS technology can solve some problems, greatly reducing spam, but as more and more channels appear, the user once again gets into the "information overload" situation. Therefore, in this paper, we use machine learning techniques and effective text classification techniques to solve the problem of information overload in a certain extent.
Keywords :
Internet; classification; learning (artificial intelligence); search engines; text analysis; RSS technology; Web 2.0; information overload situation; intelligent information syndication; key technology research; machine learning techniques; network development; online information; search engine; text classification techniques; Bayesian methods; Blogs; Google; Internet; Media; Text categorization; Training; Naïve Bayes classifier; RSS; information syndication; text classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
Conference_Location :
Yunnan
Print_ISBN :
978-1-4244-9712-6
Electronic_ISBN :
978-0-7695-4335-2
Type :
conf
DOI :
10.1109/CSO.2011.275
Filename :
5957794
Link To Document :
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