A Novel Excavation of Fortuitous Tourism Resources Candidates by Analyzing Emotional Information

Yuya Ieiri, Reiko Hishiyama

研究成果: Conference contribution

抄録

Tourism is one of the most important industries in the world. An excavation of tourism resources is an effective approach to promote the tourism industry, and many excavation methods that have been devem Fortuitous Tourism Resources Candidates. Therefore, it is necessary to excavate Fortuitous Tourism Resources loped for Potential Tourism Resources that are resources with low name recognition and high attractiveness. However, an excavation method of Fortuitous Tourism Resources that are resources with high attractiveness by chance, due to influences of environmental factors, has not yet been developed. Fortuitous Tourism Resources are extracted froCandidates in order to find new Fortuitous Tourism Resources. In this paper, an excavation method of Fortuitous Tourism Resources Candidates, by analyzing data focusing on differences in familiarity of tourists, is proposed. Furthermore, we conducted a demonstration experiment in Kyoto, Japan, to practice the proposed method. As a result, three Fortuitous Tourism Resources Candidates are excavated using the proposed method, and the effectiveness of the proposed method is shown by the experiment.

本文言語English
ホスト出版物のタイトルProceedings of the 2020 2nd International Conference on Image, Video and Signal Processing, IVSP 2020
出版社Association for Computing Machinery
ページ138-143
ページ数6
ISBN(電子版)9781450376952
DOI
出版ステータスPublished - 2020 3 20
イベント2nd International Conference on Image, Video and Signal Processing, IVSP 2020 - Singapore, Singapore
継続期間: 2020 3 202020 3 22

出版物シリーズ

名前ACM International Conference Proceeding Series

Conference

Conference2nd International Conference on Image, Video and Signal Processing, IVSP 2020
CountrySingapore
CitySingapore
Period20/3/2020/3/22

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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