Abstract
Currently, tourism providers build tourist models by collecting some specific pieces of information and then combining the knowledge they have about the groups to which current tourists belong. This paper presents the BaliaTour user modelling and Recommender System, which combines several techniques and methodologies in order to enhance the modelling process when scarce of data about an individual tourist is available. The core of the model is based on the predictions made over stereotypes as a initial characterization of the user profile. The modelling is further refined and enhanced by the combination of explicit preferences and ratings provided by the user. As a result, the proposed approach takes advantage of every information piece known about tourists in tourism ecosystems. The main advantage of BaliaTour is to minimize the main drawbacks of each of the existing user modelling techniques to obtain a user model.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ardissono, L., Goy, A., Petrone, G., Signan, M. & Torasso, P. (2003). Intrigue: personalized recommendation of tourism attractions for desktop and handset devices. Applied Artificial Intelligence 17 (8–9): 687–714.
Burke, R. (2000). Knowledge-based recommender systems. Encyclopedia of Library and Information Systems 69 (32).
Cheverst, K., Davies, N., Mitchell, K., Friday, A. & Efstratiou, C. (2000). Developing a context-aware electronic tourist guide: Some issues and experiences. In: Proc. of CHI’00, Netherlands, pp. 17–24.
Chin, D. & Porage, A. (2001). Acquiring user preferences for product customization. In: Bauer, M., Gmytrasiewicz, P., Vassileva, J. (Eds.), Proceedings of the 8th International Conference on User Modeling, LNAI, vol. 2109, pp. 95–104.
Coyle, L. & Cunningham, P. (2003). Exploiting re-ranking information in a case-based personal travel assistant. In: Proceedings of the 5th International Conference on Casebased Reasoning.
Kabassi, K. (2010). Personalizing recommendations for tourists. Telematics and Informatics 27(1): 51-66.
Kramer, R., Modsching, M., & ten Hagen, K. (2006). Field study on methods for elicitation of preferences using a mobile digital assistant for a dynamic tour guide. ACM Symposiumon Applied Computing. New York, USA, ACM Press.
Pohl, W. (1996). Learning about the User- User Modeling and Machine Learning. In: Proc. ICML’96 Workshop Machine Learning meets Human-Computer Interaction, pp. 29-40.
Rich, E. (1983). Users are individuals; individualizing user models. International Journal of Man-Machine Studies 18: 199-214.
Rich, E. (1979). User Modeling via Stereotypes. Cognitive Science 3 (4): 329–354.
Rich, E. (1989). Stereotypes and User Modeling. In: A. Kobsa and W. Wahlster: 1989, User Models in Dialog Systems, Heidelberg: Springer Verlag.
Wahlster, W., & Kobsa, A. (1989). User Models in Dialog Systems. In A. Kobsa & W. Wahlster (eds.), User Models in Dialog Systems. Heidelberg: Springer.
Yang, Y. & Marques, N.C. (2005). User group profile modeling based on user transactional data for personalized systems. Lecture Notes in Computer Science, LNCS 3808, 337–347.
Zheng, Y., Lizhu, Z., Zhengxin, M., Xing, X. & Wei-Ying. M. (2011). Recommending Friends and Locations Based on Individual Location History. ACM Transactions on the Web 5(1): 1–44.
Acknowledgement
Authors would like to thank the Regional Government of Gipuzkoa for the support of the ZER4YOU project and the SMEs VilauMedia, The Movie Virtual, Batura Mobile Solutinos and Araldi for their collaboration in the BaliaTour project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Torre, I., Linaza, M.T., Garcia, A. (2013). Hybrid User Modelling Algorithms for Tourism Providers. In: Cantoni, L., Xiang, Z. (eds) Information and Communication Technologies in Tourism 2013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36309-2_41
Download citation
DOI: https://doi.org/10.1007/978-3-642-36309-2_41
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36308-5
Online ISBN: 978-3-642-36309-2
eBook Packages: Business and EconomicsBusiness and Management (R0)