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  • 标题:Machine Learning for Web Page Adpatation
  • 本地全文:下载
  • 作者:Neetu Narwal ; Dr. Sanjay Kumar Sharma
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2016
  • 卷号:7
  • 期号:1
  • 页码:60-65
  • 出版社:TechScience Publications
  • 摘要:Recent years have witnessed a drastictechnological advancement in the heterogeneous display devicesand they have come within the reach of individuals. But most ofthe websites available on Internet do not utilize the spacesavailable in these large screen devices as well as the small screendevices probe difficulties in adjusting the web contents on theavailable space. In this study, we propose a system to provideaccurate and faster user perceived adaptation of the web pagecontent. The research is in parallel to the existing W3C (WorldWide Web consortium) standards and state-of-art existing webpage adaptive systems, by taking into consideration web contentanalysis in terms of semantic coherence and block importance.
  • 关键词:Web Information Retrival; Page Segmentation;Visual Blocks; web page adaptation.
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