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文章基本信息

  • 标题:Research and Implementation of View Block Partition Method for Theme-oriented Webpage
  • 本地全文:下载
  • 作者:Lv Fang ; Huang Junheng ; Wei Yuliang
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2015
  • 卷号:8
  • 期号:2
  • 页码:247-256
  • DOI:10.14257/ijhit.2015.8.2.23
  • 出版社:SERSC
  • 摘要:A semantic block is treated as a unit while analyzing the webpage. First, we implement the VTPS algorithm to partition a webpage into semantic blocks. Then, we propose an algorithm to extract the spatial and content features, and then construct the feature vector for each block. Based on these vectors, the SVM learning algorithm is applied to train and classify the various theme-oriented webpage blocks. At last, the classification experiments show the efficiency of this method.
  • 关键词:Semantic Block; VTPS Algorithm; Feature Vector; Classification
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