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Approximately Similarity Measurement of Web Sites

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Neural Information Processing (ICONIP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9492))

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Abstract

In this paper we will present a way to approximately measure the similarity of two web sites. The web sites considered will have only HTML web pages. We will present an algorithm which chooses a number of significant pages for each site and it will determine the similarity using the information from the selected web pages. We will use a genetic algorithm in order to select significant web pages. To implement the algorithm and show the results we used Java language.

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Author information

Authors and Affiliations

  1. Faculty of Mathematics and Computer Science, University of Pitesti, Pitești, Romania

    Doru Anastasiu Popescu

  2. National College “Radu Greceanu”, Slatina, Romania

    Dan Radulescu

Authors
  1. Doru Anastasiu Popescu
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  2. Dan Radulescu
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Corresponding author

Correspondence to Doru Anastasiu Popescu .

Editor information

Editors and Affiliations

  1. University of Istanbul, Istanbul, Turkey

    Sabri Arik

  2. University at Qatar, Doha, Qatar

    Tingwen Huang

  3. Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia

    Weng Kin Lai

  4. University of Science Technology, Wuhan, China

    Qingshan Liu

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© 2015 Springer International Publishing Switzerland

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Popescu, D.A., Radulescu, D. (2015). Approximately Similarity Measurement of Web Sites. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9492. Springer, Cham. https://doi.org/10.1007/978-3-319-26561-2_73

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  • DOI: https://doi.org/10.1007/978-3-319-26561-2_73

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26560-5

  • Online ISBN: 978-3-319-26561-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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