Cited By
View all- Kumar CChowdary CMeena A(2024)Recent trends in recommender systems: a surveyInternational Journal of Multimedia Information Retrieval10.1007/s13735-024-00349-113:4Online publication date: 10-Oct-2024
Tourism application with CNN-Based Classification specialized for cultural information
Authors: 
Takuma Hirotsu, Masaharu Hirota, Tetsuya Araki, Masaki Endo, Hiroshi IshikawaAuthors Info & Claims
Pages 8 - 14
Abstract
Over-tourism has become an important difficulty in Japan because the number of visiting international tourists has increased in recent years. This intensive tourism leads to sightseeing problems because opportunities to inform tourists about culture and rules in tourist areas are few. Some system is needed to convey correct cultural aspects of tourist areas. This paper proposes a system to present a user with useful information such as area- specific culture from photographs taken with a convolutional neural network (CNN). Tourists can gain information by associating the contents with the real world by browsing useful information while viewing photographs. After we constructed the prototype system to present 30 types of useful information in English, we evaluated our system quantitatively. We also administered a questionnaire survey for Japanese and foreign residents. The results demonstrate that our system is effective to facilitate foreign tourists' understanding Japanese culture and norms.
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- Tourism application with CNN-Based Classification specialized for cultural information
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Published In
December 2019
709 pages
ISBN:9781450371797
DOI:10.1145/3366030
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- JKU: Johannes Kepler Universität Linz
- @WAS: International Organization of Information Integration and Web-based Applications and Services
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 22 February 2020
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iiWAS2019
iiWAS2019: The 21st International Conference on Information Integration and Web-based Applications & Services
December 2 - 4, 2019
Munich, Germany
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View all- Kumar CChowdary CMeena A(2024)Recent trends in recommender systems: a surveyInternational Journal of Multimedia Information Retrieval10.1007/s13735-024-00349-113:4Online publication date: 10-Oct-2024
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