JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2015, Vol. 50 ›› Issue (07): 1-8.doi: 10.6040/j.issn.1671-9352.3.2014.270

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A multi-level page clustering method based on page segmentation

FAN Yi-xing1,2, GUO Yan1, LI Xi-peng1,2, ZHAO Ling1, LIU Yue1, YU Xiao-ming1, CHENG Xue-qi1   

  1. 1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China;
    2. University of Chinese Academy of Sciences, Beijing 100190, China
  • Received:2014-09-05 Online:2015-07-20 Published:2015-07-31

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Abstract: A multi-level page clustering method based on page segmentation was proposed. In this method, pages were divided into several blocks, and then clustered by using the block feature. By adjusting the threshold of similarity between pages, three-level clustering was obtained: the first level is pages from the same website, the second level is pages from the same website with the same structures, and the last level is pages produced with the same template from the same website. Compared with traditional methods, this method not only could provide multi-level clustering, but also can cluster pages effectively.

Key words: DOM, page segmentation, page clustering

CLC Number: 

  • TP391
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