Investigation of Recommendation Method Considering Region-Restrictedness of Spots
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.
KeywordsRecommendation Region-restrictedness Local search
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- 1.Google maps, http://maps.google.com/
- 2.Yahoo! maps, http://maps.yahoo.com/
- 4.Tezuka, T., Kondo, H., Tanaka, K.: Estimation of relevant regions for web content by gaussian mixture models for object level local search. Information Processing Society of Japan: Database 1(1), 13–25 (2008) (in Japanese)Google Scholar
- 8.Cheverst, K., Davies, N., Mitchell, K., Friday, A.: Experiences of developing and deploying a context-aware tourist guide: the guide project. In: Proceedings of the 6th Annual international Conference on Mobile Computing and Networking (MobiCom 2000), pp. 20–31. ACM, New York (2000)Google Scholar
- 9.Gournavi, http://www.gnavi.co.jp/en/
- 10.Chasen, http://chasen.naist.jp/hiki/ChaSen/ (in Japanese)
- 11.Bollegala, D., Matsuo, Y., Ishizuka, M.: Measuring semantic similarity between words using web search engines. In: WWW 2007 (2007)Google Scholar