Measuring web page similarity based on textual and visual properties

  • Authors:
  • Vladimír Bartík

  • Affiliations:
  • Faculty of Information Technology, IT4Innovations Centre of Excellence, Brno Universtiy of Technology, Brno, Czech Republic

  • Venue:
  • ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
  • Year:
  • 2012

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Abstract

Measuring web page similarity is a very important task in the area of web mining and information retrieval. This paper introduces a method for measuring web page similarity, which considers both textual and visual properties of pages. Textual properties of a page are described by means of modified weight vector space model. General visual properties are captured via segmentation of a page, which divides a page into visual blocks, properties of which are stored into a vector of visual properties. These both vectors are then used to compute the overall web page similarity. This method will be described in detail and results of several experiments are also introduced in this paper.