DocumentCode
2950659
Title
Information Filtering Algorithm Based on Feature Vector
Author
Bing, Ruan
Author_Institution
Dept. of Comput. & Inf. Eng., Wuhan Polytech. Univ., WuHan, China
fYear
2011
fDate
20-21 Aug. 2011
Firstpage
468
Lastpage
471
Abstract
Network has become an important tool to transmit information now. Personalization and accuracy are the key issues for the development information filtering. To help the network information safe guarders control the bad information and identify the bad websites, this article presents the information filtering algorithm based on feature vector, and studies the text representation, feature vector extraction and the similarity computational. The result of experiment shows that the information filtering algorithm is effective and feasible.
Keywords
Web sites; information filtering; security of data; text analysis; bad Websites; feature vector extraction; information filtering algorithm; network information safe guarders; similarity computational; text representation; Accuracy; Classification algorithms; Computational modeling; Feature extraction; Information filtering; Semantics; Feature vector; Information filtering; Similarity; Tex;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence Science and Information Engineering (ISIE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4577-0960-9
Electronic_ISBN
978-0-7695-4480-9
Type
conf
DOI
10.1109/ISIE.2011.51
Filename
5997484
Link To Document