A web-page fragmentation technique for personalized browsing

  • Authors:
  • Bouras Christos;Kapoulas Vaggelis;Misedakis Ioannis

  • Affiliations:
  • University of Patras, Patras, Greece;University of Patras, Patras, Greece;University of Patras, Patras, Greece

  • Venue:
  • Proceedings of the 2004 ACM symposium on Applied computing
  • Year:
  • 2004

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Abstract

In this paper, a technique is presented that allows web sites viewers to build personalized web pages, using specific thematic areas of their preferred sites. This technique, besides saving from the trouble of having to browse in different sites in order to find the desired content, saves users time and reduces the cost of browsing the web by minimizing the data that have to be downloaded. It is based on an algorithm, which fragments a web page in discrete fragments using the page's internal structure. A training and update procedure is utilized for recognizing the instances of the web page components in different time points.