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Investigation of Recommendation Method Considering Region-Restrictedness of Spots

  • Conference paper
Web and Wireless Geographical Information Systems (W2GIS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6574))

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Abstract

We propose and evaluate a recommendation method that considers region-restrictedness. In our previous work, we defined a spot as an establishment such as a restaurant, amusement facility, or tourist attraction in the real world. A spot with high region-restrictedness indicates that the spot is located in a restricted area but not in a user’s home area. We defined the region-restrictedness score to extract region-restricted phrases from text data about spots (such as promotional descriptions about spots). Then, spots including these phrases are recommended to the user. In this paper, we present our proposed method and discuss it on the basis of quantitative and qualitative experimental results.

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Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu-city, Shiga, Japan

    Kenta Oku & Fumio Hattori

Authors
  1. Kenta Oku
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  2. Fumio Hattori
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Editor information

Editors and Affiliations

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

    Katsumi Tanaka

  2. Telecommunications Research Center Vienna (ftw.), Donau-City-Straße 1/3, 1220, Vienna, Austria

    Peter Fröhlich

  3. Knowledge Creating Communication Research Center, National Institute of Information and Communications Technology, 3-5 Hikaridai, Seika-cho, 619-0289, Soraku-gun, Kyoto, Japan

    Kyoung-Sook Kim

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© 2011 Springer-Verlag Berlin Heidelberg

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Oku, K., Hattori, F. (2011). Investigation of Recommendation Method Considering Region-Restrictedness of Spots. In: Tanaka, K., Fröhlich, P., Kim, KS. (eds) Web and Wireless Geographical Information Systems. W2GIS 2011. Lecture Notes in Computer Science, vol 6574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19173-2_5

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  • DOI: https://doi.org/10.1007/978-3-642-19173-2_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19172-5

  • Online ISBN: 978-3-642-19173-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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