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Measuring Attention Intensity to Web Pages Based on Specificity of Social Tags

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Database Systems for Advanced Applications (DASFAA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6193))

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Abstract

Social bookmarks are used to find Web pages drawing much attention. However, tendency of pages to collect bookmarks is different by their topic. Therefore, the number of bookmarks can be used to know attention intensity to pages but it cannot be used as the metric of the intensity itself. We define the relative quantity of social bookmarks (RQS) for measuring the attention intensity to a Web page. The RQS is calculated using the number of social bookmarks of related pages. Related pages are found using similarity based on specificity of social tags. We define two types of specificity, local specificity, which is the specificity for a user, and global, which is the specificity common in a social bookmark service.

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Author information

Authors and Affiliations

  1. Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji, Hyogo, 671-2280, Japan

    Takayuki Yumoto

  2. School of Human Science and Environment, University of Hyogo, 1–1–12 Shinzaike-honcho, Himeji, Hyogo, 670-0092, Japan

    Kazutoshi Sumiya

Authors
  1. Takayuki Yumoto
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  2. Kazutoshi Sumiya
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Editor information

Editors and Affiliations

  1. Graduate School of Informatics, Kyoto University, Yoshida Honmachi, Sakyo, 606-8501, Kyoto, Japan

    Masatoshi Yoshikawa

  2. Information School, Renmin University of China, 100872, Beijing, China

    Xiaofeng Meng

  3. Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji, 671-2280, Hyogo, Japan

    Takayuki Yumoto

  4. Graduate School of Informatics, Kyoto University, Yoshidahonmachi, Sakyo, 606-8501, Kyoto, Japan

    Qiang Ma

  5. Institute of HCI and Media Integration, Tsinghua University, 100084, Bejing, China

    Lifeng Sun

  6. Department of Information Science, Ochanomizu University, 2-1-1, Otsuka, Bunkyo-ku, 112-8610, Tokyo, Japan

    Chiemi Watanabe

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© 2010 Springer-Verlag Berlin Heidelberg

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Yumoto, T., Sumiya, K. (2010). Measuring Attention Intensity to Web Pages Based on Specificity of Social Tags. In: Yoshikawa, M., Meng, X., Yumoto, T., Ma, Q., Sun, L., Watanabe, C. (eds) Database Systems for Advanced Applications. DASFAA 2010. Lecture Notes in Computer Science, vol 6193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14589-6_27

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  • DOI: https://doi.org/10.1007/978-3-642-14589-6_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14588-9

  • Online ISBN: 978-3-642-14589-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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