ABSTRACT
In recent years, there has been a growing interest in travel applications that provide on-site personalized tourist spot recommendations. While they are generally useful, most of the available apps are focused on helping tourists make decisions only on the next spot to visit. This may cause that the tourists miss attractive spots to visit in the future. Due to the lack of awareness on the spots to go afterwards, they are unable to visit the spots they wanted to visit later, hence their overall tourism satisfaction decreases. In this study, we introduce an on-site tourism recommendation system, ISO-Tour, which can be used on the spot during the tour and allows users to consider multiple spots to visit next taking into account the trade-off between satisfaction of the next spot and that of the subsequent spots visited in the future.
- S. Isoda, M. Hidaka, Y. Matsuda, H. Suwa, and K. Yasumoto. 2020. Timeliness-aware On-site Planning Method for Tour Navigation. arXiv:2009.11040 [cs.DS]Google Scholar
- Yohei Kurata, Yasutaka Shinagawa, and Tatsunori Hara. 2015. CT-Planner5: a computer-aided tour planning service which profits both tourists and destinations. 15 (2015), 35--42.Google Scholar
- Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, and Shanika Karunasekera. 2018. Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency. Knowledge and Information Systems 54, 2 (2018), 375--406.Google Scholar
Digital Library
- Google LLC. 2020. Goonle Map. Retrieved Sept 7, 2020 from https://www.google.com/mapsGoogle Scholar
- Pieter Vansteenwegen, Wouter Souffriau, Greet Vanden Berghe, and Dirk Van Oudheusden. 2011. The city trip planner: an expert system for tourists. Expert Systems with Applications 38, 6 (2011), 6540--6546.Google Scholar
Digital Library
- Quan Yuan, Gao Cong, Zongyang Ma, Aixin Sun, and Nadia Magnenat Thalmann. 2013. Time-aware point-of-interest recommendation. In Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval. 363--372.Google Scholar
Digital Library
Index Terms
User decision support system for on-site tourism navigation on smartphone: demo abstract
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