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Geographical Recommender System Using User Interest Model Based on Map Operation and Category Selection

Geographical Recommender System Using User Interest Model Based on Map Operation and Category Selection

Kenta Oku, Rika Kotera, Daisuke Kitayama, Kazutoshi Sumiya
Copyright: © 2012 |Volume: 3 |Issue: 3 |Pages: 16
ISSN: 1947-9158|EISSN: 1947-9166|EISBN13: 9781466612372|DOI: 10.4018/jhcr.2012070101
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MLA

Oku, Kenta, et al. "Geographical Recommender System Using User Interest Model Based on Map Operation and Category Selection." IJHCR vol.3, no.3 2012: pp.1-16. http://doi.org/10.4018/jhcr.2012070101

APA

Oku, K., Kotera, R., Kitayama, D., & Sumiya, K. (2012). Geographical Recommender System Using User Interest Model Based on Map Operation and Category Selection. International Journal of Handheld Computing Research (IJHCR), 3(3), 1-16. http://doi.org/10.4018/jhcr.2012070101

Chicago

Oku, Kenta, et al. "Geographical Recommender System Using User Interest Model Based on Map Operation and Category Selection," International Journal of Handheld Computing Research (IJHCR) 3, no.3: 1-16. http://doi.org/10.4018/jhcr.2012070101

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Abstract

Digital map services and geographical information search services are widely available on the Internet. Users can retrieve appropriate geographical information from digital maps using certain map operations and category selection methods. However, it can be difficult for users to find specific geographical information when a map region contains a large amount of information. Furthermore, a user’s interest in a region or a category may change. Therefore, the authors propose a method for recommending geographical information to users based on their map operation or category selection history. The authors developed a model to determine a user’s interests and used it to recommend suitable regions and categories.

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