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
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;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
DOI :
10.1109/ICCIS.2012.254
