Basic study on a recommendation method considering region-restrictedness of spots

  • Authors:
  • Kenta Oku;Fumio Hattori

  • Affiliations:
  • College of Information Science and Engineering, Ritsumeikan University, Kusatsu-city, Shiga, Japan;College of Information Science and Engineering, Ritsumeikan University, Kusatsu-city, Shiga, Japan

  • Venue:
  • DASFAA'10 Proceedings of the 15th international conference on Database systems for advanced applications
  • Year:
  • 2010

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Abstract

We propose a recommendation method that considers region-restrictedness. In this study, we define 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 define 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 basic experimental results.