Abstract
This paper advocates for a more extensive definition of recommender systems, stressing in particular the importance of information browsing and discovery. A recommendation tool, called “seeking for inspiration” is here presented. It is aimed at users that are seeking for suggestions, do not have complete knowledge of the tourism jargon and can be intimidated by more traditional search tools based on queries. Our tool, in the first place computes a small number of travel offers and displays them on a graphical user interface that relies on pictures to illustrate the offers. The user can browse the offers and provide feedbacks/critiques about them. The system uses a diversity-based retrieval to incorporate the user feedbacks and to suggest some more offers that are supposed to be a better match to user's preferences. We report the results of the empirical evaluation that shows the usefulness of such an approach especially for travelers coming from more distant countries and those with a more holistic learning style.
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Berger, H., Dittenbach, M., and Merkl, D. (2004). User-oriented evaluation of a natural language tourism information system. Information Technology and Tourism, 6(3): 167–180.
Breese, J., Heckerman, D., and Kadie, C. (1998). Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, Madison, WI. Morgan Kaufmann Publisher.
Burke, R. (2000). Knowledge-based recommender systems. In Daily, J. E., Kent, A., & H. Lancour (Eds.), Encyclopedia of Library and Information Science, volume 69 (pp. 180–200). Marcel Dekker.
Gretzel, U. & K.W. Wöber (2004). Intelligent search support: Building search term associations for tourism-specific search engines. In Frew, A.J. (Ed.) Proceedings of the International Conference of Information and Communication Technologies in Tourism. pp.239–248,. Vienna-New York: Springer.
Kolodner, J. (1993). Case based reasoning. San Mateo, CA. Morgan Kaufmann.
Marchionini, G. (1996). Resource search and discovery. In, Getty Art History Information Program (1996) Research Agenda for Networked Cultural Heritage. Santa Monica, CA: Getty AHIP, 35–40.
McGinty, L. & B. Smyth (2002). Deep dialogue vs casual conversation in recommender Systems. In Ricci, F., & B. Smyth (Eds.), Proceedings of the Workshop on Personalization in eCommerce, at the 2th International Conference on Adaptive Hypermedia and Web-Based Systems, AH-02 (pp. 80–89). Universidad de Malaga, Malaga, Spain.
Nguyen, Q. N., Cavada, D., & F. Ricci (2003). Trip@dvise mobile extension in a case-based recommender system. In Proceedings of the 2nd International Conference on Mobile Business, mBusiness>2003 (pp. 345–356). Vienna, Austria. Austrian Computer Society.
Ricci, F. (2002). Travel recommender systems. IEEE Intelligent Systems, 17(6): 55–57.
Ricci, F., Venturini, A., Cavada, D., Mirzadeh, N., Blaas, D., & Nones, M. (2003). Product recommendation with interactive query management and twofold similarity. Proceedings of the Fifth International Conference on Case-Based Reasoning, 479–493. Springer-Verlag.
van Rijsbergen, C. J. (1979). Information Retrieval. Newton, MA. Butterworth-Heinemann.
Schafer, J. B., Konstan, J. A., & J. Riedl (2001). E-commerce recommendation applications. Data Mining and Knowledge Discovery, 5(1/2): 115–153.
Shimazu, H. (2001). Expertclerk: Navigating shoppers buying process with the combination of asking and proposing. In Nebel, B. (Eds.), Proceedings of the 17th International Joint Conference on Artificial Intelligence, IJCAJ 2001 (pp. 1443–1448). Morgan Kaufmann.
Zins. A.H. & Bauernfeind, U. (2005). Explaining online purchase planning experiences with recommender websites. In Frew, A. J. (ed.) Information and Communication Technologies in Tourism 2005. Proceedings of the International Conference in Innsbruck. Wien: Springer.
Zins, A.H., Bauernfeind, U., Del Missier, F., Venturini, A. & Rumetshofer, H. (2004) An experimental usability test for different destination recommender systems. In: Frew, A. J. (ed.) Information and Communication Technologies in Tourism 2004. Proceedings of the International Conference in Cairo. pp. 228–238. Wien: Springer.
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Ricci, F., Wöber, K., Zins, A. (2005). Recommendations by Collaborative Browsing. In: Frew, A.J. (eds) Information and Communication Technologies in Tourism 2005. Springer, Vienna. https://doi.org/10.1007/3-211-27283-6_16
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DOI: https://doi.org/10.1007/3-211-27283-6_16
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-24148-6
Online ISBN: 978-3-211-27283-1