Abstract
Based on a case study in Valais (Switzerland), this paper discusses recommender system technologies used to help clients choose tourism service packages online. Different recommender systems are first presented and then analysed in relation to dynamic packaging. Five solutions are finally proposed.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
Adomavicius, G. & Tuzhilin, A. (2005). Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering.
Breese, J. S., Heckerman, D., Evans, C., Gladish, B. & Pazzani, M. (1998). Adaptive Algorithms for Collaborative Filtering. Proceedings of the 14th Conf. Uncertainty in Artificial Intelligence.
Burke, R. (1997). The FindMe approach to assisted browsing. IEEE Expert: Intelligent Systems and Their Applications 12(4): 32–40.
Goldberg, D., Nichols, D., Old, B. M. & Terry, D. (1992). Using collaborative filtering to weave an information tapestry. Communications of the ACM — Special issue on information filtering. (ACM, Ed.) 35(12): 61–70.
Jannach, D., Zanker, M. & Fuchs, M. (2009). Constraint-based recommendation in tourism: A multi-perspective case study. Information Technology & Tourism 11(2): 139–156.
Leak, D. B. (1994). Case-based reasoning. The Knowledge Engineering Review 9: 61–64.
Middleton, S. E., Shadbolt, N. R. & Roure, D. C. (2004). Ontological user profiling in recommender systems. ACM Transactions on Information Systems (TOIS) 22(1): 54–88.
Pazzani, M. J. & Billsus, D. (1997). Learning and revising user profiles: The identification of interesting Web sites. Machine Learning 27(3): 313–331.
Ricci, F. (2002). Travel Recommender Systems. Intelligent Systems, 55–57.
Ricci, F., Mirzadeh, N. & Venturini, A. (2006). Case-based travel recommendations. In D. R. Fesenmaier, K. W. Woeber, & H. Werthner (Eds.), Destination Recommendation Systems: Behavioural Foundations and Applications (pp. 67–93). Oxford: CAB Publishing.
Schickel-Zuber, V. (2007). Ontology Filtering — PhD. Thesis (Vol. 3934). Swiss Federal Institute of Technology (EPFL).
Tsang, E. (1993). Foundations of Constraint Satisfaction. Academic Press.
Vapnik, V. (1995). The Nature of Statistical Learning Theory. Springer Verlag.
Zanker, M. & Jannach, D. (2010). Introduction to Recommender Systems. Sierre: Tutorial at ACM Symposium on Applied Computing.
Ziegler, C.N., Lausen, G. & Schmidt-Thieme, L. (2004). Taxonomy-driven computation of product recommendations. Proceedings of the thirteenth ACM international conference on Information and knowledge management (pp. 406–415).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag/Wien
About this paper
Cite this paper
Schumacher, M., Rey, JP. (2011). Recommender systems for dynamic packaging of tourism services. In: Law, R., Fuchs, M., Ricci, F. (eds) Information and Communication Technologies in Tourism 2011. Springer, Vienna. https://doi.org/10.1007/978-3-7091-0503-0_2
Download citation
DOI: https://doi.org/10.1007/978-3-7091-0503-0_2
Publisher Name: Springer, Vienna
Print ISBN: 978-3-7091-0502-3
Online ISBN: 978-3-7091-0503-0