Visual and textual summarization of webpages

@article{Akhtar2014VisualAT,
  title={Visual and textual summarization of webpages},
  author={N. Akhtar and Bushra Siddique and Rounaque Afroz},
  journal={2014 International Conference on Data Mining and Intelligent Computing (ICDMIC)},
  year={2014},
  pages={1-5}
}
Search and re-finding tasks are among the most typical applications on internet. In order to make these tasks more efficient, we propose an attractive new scheme to visually summarize web pages. This would allow users to quickly get the idea of what the webpage is all about and helping users to recall the visited web pages. For the purpose, we employ latent semantic analysis to prepare a gist of the textual contents accompanied by title and a relevant image. The image could be internal or… CONTINUE READING

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