DocumentCode :
2718535
Title :
Effectively and efficiently detect web page duplication
Author :
Han, Zhongming ; Mo, Qian ; Liu, Hongzhi ; Sun, Jianzhi
Author_Institution :
Sch. of Comput. Sci. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
fYear :
2009
fDate :
1-4 Nov. 2009
Firstpage :
1
Lastpage :
6
Abstract :
There are a lot of redundant Web pages on Internet. Based on tag statistic and text similarity comparison, we present a novel multilayer framework for detecting duplicated Web pages in this paper. We propose two similarity text paragraphs detection algorithms and implement our framework. The experimental results show that our approach achieves high performance, which means that duplicated Web pages can be efficiently detected simply by tag statistic and text comparison.
Keywords :
Internet; Web sites; text analysis; Internet; Web page duplication; similarity text paragraphs detection algorithms; tag statistic; text similarity comparison; Web pages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Information Management, 2009. ICDIM 2009. Fourth International Conference on
Conference_Location :
Ann Arbor, MI
Print_ISBN :
978-1-4244-4253-9
Electronic_ISBN :
978-1-4244-4254-6
Type :
conf
DOI :
10.1109/ICDIM.2009.5356801
Filename :
5356801
Link To Document :
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