Publication Details

Measuring Web Page Similarity Based on Textual and Visual Properties

BARTÍK Vladimír. Measuring Web Page Similarity Based on Textual and Visual Properties. In: The 11th International Conference on Artificial Intelligence and Soft Computing. Lecture Notes in Artificial Intelligence, Vol. 7268. Zakopane: Springer Verlag, 2012, pp. 13-21. ISBN 978-3-642-29349-8. ISSN 0302-9743.
Czech title
Měření podobnosti webových stránek na základě textových i vizuálních vlastností
Type
conference paper
Language
english
Authors
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT)
Keywords

Web page similarity, clustering, vector space model, vector distance, term weighting, visual blocks.

Abstract

Measuring web page similarity is a very important task in the area of web mining and information retrieval. This paper introduces the 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 whole web page similarity. This method will be described in detail and results of several experiments are also introduced in this paper.

Published
2012
Pages
13-21
Journal
Lecture Notes in Computer Science, no. 7268, ISSN 0302-9743
Proceedings
The 11th International Conference on Artificial Intelligence and Soft Computing
Series
Lecture Notes in Artificial Intelligence, Vol. 7268
Conference
The 11th International Conference on Artificial Intelligence and Soft Computing, Zakopane, PL
ISBN
978-3-642-29349-8
Publisher
Springer Verlag
Place
Zakopane, PL
UT WoS
000314151300002
BibTeX 
@INPROCEEDINGS{FITPUB9850,
   author = "Vladim\'{i}r Bart\'{i}k",
   title = "Measuring Web Page Similarity Based on Textual and Visual Properties",
   pages = "13--21",
   booktitle = "The 11th International Conference on Artificial Intelligence and Soft Computing",
   series = "Lecture Notes in Artificial Intelligence, Vol. 7268",
   journal = "Lecture Notes in Computer Science",
   number = 7268,
   year = 2012,
   location = "Zakopane, PL",
   publisher = "Springer Verlag",
   ISBN = "978-3-642-29349-8",
   ISSN = "0302-9743",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9850"
}
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