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