Abstract
In this paper we introduce a new recommender system for urban tourists. The goal of the system is to enrich tourists’ experience by offering them personalised tour recommendations tailored to their dynamic user profiles. Particular attention in the proposed approach is paid to the influence of basic leisure needs of an individual, which include new experiences, entertainment, being in open area, relaxation, physical exercise, and socialising, on the tour composition. These needs tend to be dynamic and give rise to saturation effects and variety seeking behaviour. The system is developed as part of the larger c-Space framework, in which a number of technologies, such as projective augmented reality, a newly proposed near real-time 4D dynamic scene reconstruction, and affective computing, are brought together and used to enrich experiences of users in their interactions with built environments. The paper describes the main concepts of the recommender system and its implementation in the specified context of the city of Trento, Italy.
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Notes
- 1.
Note that the sequence in which activities are selected does not necessarily define the sequence in which they are going to be conducted.
References
Kabassi, K.: Review: personalizing Recommendations for Tourists. Telematics Inform. 27(1), 51–66 (2010)
Felfernig, A., Gordea, S., Kannach, D., Teppan, E., Zanker, M.: A short survey of recommendation technologies in travel and tourism. OEGAI J. 25(7), 17–22 (2007)
Tsai, C.-Y., Chung, S.-H.: A personalized route recommendation service for theme parks using RFID information and tourist behavior. Decis. Support Syst. 52(2), 514–527 (2012)
Batet, M., Moreno, A., Sánchez, D., Isern, D., Valls, A.: Turist@: agent-based personalised recommendation of tourist activities. Expert Syst. Appl. 39(8), 7319–7329 (2012)
Liu, L., Xu, J., Liao, S.S., Chen, H.: A real-time personalized route recommendation system for self-drive tourists based on vehicle to vehicle communication. Expert Syst. Appl. 41(7), 3409–3417 (2014)
Nijland, L., Arentze, T.A., Timmermans, H.J.P.: Eliciting the needs that underlie activity-travel patterns and their covariance structure. Transp. Res. Rec. 2157, 54–62 (2010)
Arentze, T., Timmermans, H.: A need-based model of multi-day, multi-person activity generation. Transp. Res. Part B: Methodological 43(2), 251–265 (2009)
Dellaert, B.G.C., Arentze, T.A., Horeni, O.: Tourists’ mental representations of complex travel decision problems. J. Travel Res. 53, 3–11 (2014)
Simoes, B., Aksenov, P., Santos, P., Arentze, T.: C-Space: fostering new creative paradigms based on recording and sharing “casual” videos through the internet. In: 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), p. 4, June 29 2015–July 3 2015
OpenTripPlanner. http://www.opentripplanner.org. Accessed 07 Mar 2016
Arentze, T.A.: LATUS: a dynamic model for leisure activity-travel utility simulation. In: Proceedings the 94th Annual TRB Meeting, p. 19 (2015)
Arentze, T.A., Ettema, D., Timmermans, H.J.P.: Incorporating time and income constraints in dynamic agent-based models of activity generation and time use: Approach and illustration. Transp. Res. Part C 18, 71–83 (2010)
Kemperman, A.D.A.M., Aksenov, P., Arentze, T.A.: Measuring dynamic needs and preferences for recommending personalized tourist routes. In: Proceedings 22nd Recent Advances in Retailing and Consumer Science Conference. Montreal, Canada (2015)
Acknowledgments
The research leading to these results has received funding from the European Community’s Seventh Framework Program (FP7/2007-2013) under the Grant Agreement number 611040. The authors are solely responsible for the information reported in this paper. It does not represent the opinion of the Community. The Community is not responsible for any use that might be made of the information contained in this paper.
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Aksenov, P., Kemperman, A., Arentze, T. (2016). A Personalised Recommender System for Tourists on City Trips: Concepts and Implementation. In: Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2016. Smart Innovation, Systems and Technologies, vol 55. Springer, Cham. https://doi.org/10.1007/978-3-319-39345-2_46
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DOI: https://doi.org/10.1007/978-3-319-39345-2_46
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