TITLE

Application on Web Page Filtering Technology

AUTHOR(S)
Bo Shen; Lei Li; Ning-wei Wang
PUB. DATE
December 2014
SOURCE
International Journal of Multimedia & Ubiquitous Engineering;Dec2014, Vol. 9 Issue 12, p405
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Web page filtering technology intends to filter out the large number of the repeated and theme-unrelated noise information and obtain useful information. Some web filtering methods cannot make full use of the layout and visual features. In view of the new mainstream "DIV+CSS" designing style of modern commercial web sites, this paper summarizes that elements laying in the same div blocks have common semantic features and proposed a DIV_FOREST model to represent the web pages. And in combination with the Vision-based Page Segmentation Algorithm, a DVPS Algorithm which considers both layout features and visual features was proposed to improve web page filtering efficiency.
ACCESSION #
100179459

 

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