DocumentCode
569728
Title
Research on Self-adaptative Unhealthy Webpage Filtering Mode
Author
Yanhong Wang ; Qinbo Yan ; Junyao Ye
Author_Institution
Sch. of Inf. Eng., Jingdezhen Ceramic Inst., Jingdezhen, China
fYear
2012
fDate
17-19 Aug. 2012
Firstpage
1178
Lastpage
1181
Abstract
In this paper, we study on the technology of unhealthy webpage filtering, which is based on vector space model. We determine the quality of the test webpage by calculating the similarity between the feature vector of the test document and the unhealthy class vector by using the weight of word frequency statistics. We conduct the research on self-adaptative unhealthy webpage filtering mode on the on the basis of pornographic Webpages.
Keywords
Internet; information filtering; statistical analysis; vectors; feature vector; pornographic Webpage; self-adaptative filtering mode; test Webpage quality; unhealthy Webpage filtering mode; vector space model; word frequency statistics; Computational modeling; Data models; Feature extraction; Information filters; Mathematical model; Vectors; Self-adaptative; Vector Space Model; Webpage Filtering; Word Frequency Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4673-2406-9
Type
conf
DOI
10.1109/ICCIS.2012.254
Filename
6301325
Link To Document