We describe a Smart Tourism System called SMARTCAL, designed in the context of a R&D project aimed at supporting the tourism development in Calabria (a region in the South of Italy). The system is designed by considering Points and Events of Interest (PEOI) and their relationship with the local transport systems and infrastructures. A proactive tourist tour planner algorithm is proposed to generate optimized itineraries based on static and dynamic profiling of the users. Social media data are also taken into account for recommendations.

De Maio, A., Ferone, D., Fersini, E., Messina, E., Santoro, F., Violi, A. (2021). Smart Tourism System in Calabria. In Data Science and Social Research II. DSSR 2019. Studies in Classification, Data Analysis, and Knowledge Organization (pp.131-144). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-51222-4_11].

Smart Tourism System in Calabria

De Maio A.;Ferone D.;Fersini E.
;
Messina E.;
2021

Abstract

We describe a Smart Tourism System called SMARTCAL, designed in the context of a R&D project aimed at supporting the tourism development in Calabria (a region in the South of Italy). The system is designed by considering Points and Events of Interest (PEOI) and their relationship with the local transport systems and infrastructures. A proactive tourist tour planner algorithm is proposed to generate optimized itineraries based on static and dynamic profiling of the users. Social media data are also taken into account for recommendations.
paper
Recommender system; Smart tourism; Tourist tour planning; Social media
English
2nd International Conference on Data Science and Social Research, 2019 4-5 February
2019
Mariani P., Zenga M.
Data Science and Social Research II. DSSR 2019. Studies in Classification, Data Analysis, and Knowledge Organization
978-3-030-51221-7
26-nov-2020
2021
131
144
none
De Maio, A., Ferone, D., Fersini, E., Messina, E., Santoro, F., Violi, A. (2021). Smart Tourism System in Calabria. In Data Science and Social Research II. DSSR 2019. Studies in Classification, Data Analysis, and Knowledge Organization (pp.131-144). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-51222-4_11].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/298203
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