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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Basic Study on a Recommendation Method Considering Region-Restrictedness of Spots
verfasst von : Kenta Oku, Fumio Hattori
Erschienen in: Database Systems for Advanced Applications
Verlag: Springer Berlin Heidelberg
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We propose a recommendation method that considers regionrestrictedness. 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 regionrestrictedness 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.