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DOI: 10.14569/IJACSA.2014.051202
PDF

Development of Social Recommendation GIS for Tourist Spots

Author 1: Tsukasa IKEDA
Author 2: Kayoko YAMAMOTO

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 5 Issue 12, 2014.

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Abstract: This study aims to develop a social recommendation media GIS (Geographic Information Systems) specially tailored to recommend tourist spots. The conclusions of this study are summarized in the following three points. (1) Social media GIS, an information system which integrates Web-GIS, SNS and recommendation system into a single system, was conducted in the central part of Yokohama City in Kanagawa Prefecture, Japan. The social media GIS uses a design which displays its usefulness in reducing the constraints of information inspection, time and space, and continuity, making it possible to redesign systems in accordance with target cases. (2) The social media GIS was operated for two months for members of the general public who are more than 18 years old. The total numbers of users was 98, and the number of pieces of information submitted was 232. (3) The web questionnaires of users showed the usefulness of the integration of Web-GIS, SNS and recommendation systems, because the functions of reference and recommendation can be expected to support tourists’ excursion behavior. Since the access survey of log data showed that about 35% of accesses were from mobile information terminals, it can be said that the preparation of an optimal interface for such terminals was effective.

Keywords: Social Recommendation GIS; Web-GIS; Social Media; SNS; Recommendation Systems

Tsukasa IKEDA and Kayoko YAMAMOTO, “Development of Social Recommendation GIS for Tourist Spots” International Journal of Advanced Computer Science and Applications(IJACSA), 5(12), 2014. http://dx.doi.org/10.14569/IJACSA.2014.051202

@article{IKEDA2014,
title = {Development of Social Recommendation GIS for Tourist Spots},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2014.051202},
url = {http://dx.doi.org/10.14569/IJACSA.2014.051202},
year = {2014},
publisher = {The Science and Information Organization},
volume = {5},
number = {12},
author = {Tsukasa IKEDA and Kayoko YAMAMOTO}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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