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A Localness-Filter for Searched Web Pages

  • Qiang Ma
  • Chiyako Matsumoto
  • Katsumi Tanaka
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2642)

Abstract

With the spreading of the Internet, information about our daily life and our residential region is becoming to be more and more active on the WWW (World Wide Web). That’s to say, there are a lot of Web pages, whose content is ‘local’ and may only interest residents of a narrow region. The conventional information retrieval systems and search engines, such as Google[1], Yahoo[2], etc., are very useful to help users finding interesting information. However, it’s not yet easy to find or exclude ‘local’ information about our daily life and residential region. In this paper, we propose a localness-filter for searched Web pages, which can discover and exclude information about our daily life and residential region from the searched Web pages. We compute the localness degree of a Web page by 1) estimating its region dependence: the frequency of geographical words and the content coverage of this Web page, and 2) estimating the ubiquitousness of its topic: in other words, we estimate if it is usual information that appears everyday and everywhere in our daily life.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Qiang Ma
    • 1
  • Chiyako Matsumoto
    • 2
  • Katsumi Tanaka
    • 1
  1. 1.Graduate School of InformaticsKyoto UniversityKyotoJapan
  2. 2.Graduate School of Science and TechnologyKobe UniversityKobeJapan

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