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Method for Countering Social Bookmarking Pollution Using User Similarities

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Networked Digital Technologies (NDT 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 87))

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Abstract

In this paper, we propose a method for countering social bookmark pollution. First, we investigate the characteristics of social bookmark pollution and show that high similarities in the user bookmarks result in social bookmark pollution. Then, we discuss a bookmark number reduction method based on user similarities between the user bookmarks. We evaluate the proposed method by applying it to Hatena Bookmark. It is found that the proposed method only slightly reduces the bookmark number of the Web pages that are not affected by social bookmark pollution but greatly reduces the bookmark number of those Web pages that are affected by social bookmark pollution.

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References

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Author information

Authors and Affiliations

  1. Graduate School of Computer Science, Osaka Electro-Communication University, 1130-70 Kiyotaki, Shijonawate, Osaka, 575-0063, Japan

    Takahiro Hatanaka

  2. Department of Computer Science, Osaka Electro-Communication University, 1130-70 Kiyotaki, Shijonawate, Osaka, 575-0063, Japan

    Hiroyuki Hisamatsu

Authors
  1. Takahiro Hatanaka
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  2. Hiroyuki Hisamatsu
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Editor information

Editors and Affiliations

  1. Department of Software Engineering, Charles University in Prague, Malostranske namesti 25, 118 00, Prague, Czech Republic

    Filip Zavoral

  2. Charles University, Prague, Czech Republic

    Jakub Yaghob

  3. Al Imam University, Riyadh, Saudi Arabia

    Pit Pichappan

  4. Jordan University of Science and Technology, Irbid, Jordan

    Eyas El-Qawasmeh

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© 2010 Springer-Verlag Berlin Heidelberg

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Hatanaka, T., Hisamatsu, H. (2010). Method for Countering Social Bookmarking Pollution Using User Similarities. In: Zavoral, F., Yaghob, J., Pichappan, P., El-Qawasmeh, E. (eds) Networked Digital Technologies. NDT 2010. Communications in Computer and Information Science, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14292-5_53

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  • DOI: https://doi.org/10.1007/978-3-642-14292-5_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14291-8

  • Online ISBN: 978-3-642-14292-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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