Abstract
The time spent at a sightseeing location differs for each tourist. If a tourist is particularly interested in a location, the visit duration may be long. In this case, we consider that the tourist’s visit duration is longer than that of a typical tourist at similar sites. We assume that this difference shows the tourist’s characteristics, such as the type of objects in which s/he is interested and his or her walking speed. It also indicates the level of congestion in the sightseeing area. Therefore, we propose a route recommender system whose recommendations are based on the difference between a user’s and the typical visit duration at sightseeing locations. We focus on the category structure of the locations and the difference between the tourist’s and the typical visit duration for estimating the visit duration at other locations. In this study, we developed a prototype system and evaluated it using a few sightseeing locations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arikawa, M., Kambayashi, Y.: Dynamic name placement functions for interactive map systems. Aust. Comput. J. 23(4), 133–147 (1991)
Baus, J., Kruger, A., Wahlster, W.: A resource adaptive mobile navigation system. In: Proceedings of 2002 International Conferences on Intelligent User Interfaces 2002 (IUI-02), pp. 15–22 (2002)
Butz, A., Baus, J., Kruger, A., Lohse, M.: A hybrid indoor navigation system. In: Proceedings of 2001 International Conferences on Intelligent User Interfaces 2001 (IUI2001), pp. 25–33 (2001)
Cheverst, K., Davies, N., Mitchell, K., Friday, A.: The design of an object model for a context-sensitive tourist guide. Comput. Graph. J. 23(883–891), 883–891 (1999)
Cheverst, K., Davies, N., Mitchell, K., Friday, A., Efstratiou, C.: Developing a context-aware electronic tourist guide: some issues and experiences. In: Proceedings of 2000 ACM Special Interest Group on Computer-Human Interaction (SIGCHI- 00), pp. 17–24 (2000)
Dijkstra, E.W.: A note on two problems in connexion with graphs. Numer. Math. 1(1), 269–271 (1959)
Hamada, K., Nakajima, S., Kitayama, D., Sumiya, K.: Route recommendation method based on driver’s intention estimation considering the route selection when using the car navigation. In: Proceedings of the 2014 IAENG International Conference on Data Mining and Applications, IMECS2014, pp. 383–388 (2014)
Hart, P., Nilsson, N.: Raphael, B.: A formal basis for the heuristic determination of minimum cost paths. IEEE Trans. Syst. Sci. Cybern. 4(2), 100–107 (1968)
Inoue, T., Nakazawa, K., Yamamoto, Y., Shigeno, H., Okada, K.: Use of human geographic recognition to reduce GPS error in mobile mapmaking learning. In: Proceedings of Fifth International Conference on Networking and the International Conference on Systems (ICN / ICONS / MCL 2006), p. 222 (2006)
Nakajima, S., Kitayama, D., Sushita, Y., Sumiya, K., Chandrasiri, N.P., Nawa, K.: Route recommendation method for car navigation system based on estimation of driver’ s intent. In: Proceedings of the 2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2012), pp. 318–323 (2012)
Rehrl, K., Leitinger, S., Bruntsch, S., Mentz, H.J.: Assisting orientation and guidance for multimodal travelers in situations of modal change. In: Proceedings of 2005 IEEE International Conferences on Intelligent Transportation Systems (ITSC-05), pp. 407–412 (2005)
Shimada, S., Tanizaki, M., Maruyama, K.: Ubiquitous spatial-information services using cell phones. IEEE Micro 22(6), 25–34 (2002)
Acknowledgments
This work was supported by JSPS KAKENHI Grant Numbers 24700098, 26280042.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Kitayama, D., Ozu, K., Nakajima, S., Sumiya, K. (2015). A Route Recommender System Based on the User’s Visit Duration at Sightseeing Locations. In: Lee, R. (eds) Software Engineering Research, Management and Applications. Studies in Computational Intelligence, vol 578. Springer, Cham. https://doi.org/10.1007/978-3-319-11265-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-11265-7_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11264-0
Online ISBN: 978-3-319-11265-7
eBook Packages: EngineeringEngineering (R0)