Title :
Information Filtering Algorithm Based on Feature Vector
Author_Institution :
Dept. of Comput. & Inf. Eng., Wuhan Polytech. Univ., WuHan, China
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;
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
DOI :
10.1109/ISIE.2011.51
