In this work we describe a new Smart Tourism System called SMARTCAL, born during the development of a R&D project for supporting the tourism digitalisation, that includes the release of a pilot in Calabria (a region in the South of Italy). The project is a new initiative to support tourism and hospitality industry with a series of statistical tools for the decision makers, to provide digital and smart services for the tourists that want to build their itineraries with flexibility and to improve the valorisation of a particular territory from the economical and tourist point of view. Indeed, the system is designed by considering Points and Events of Interest (PEOI) and their relationship with the local transport systems, with the hospitality industries and with the policy makers. Two major tools are described in the following: a proactive tourist tour planner algorithm, proposed to generate optimised itineraries based on static and dynamic profiling of the users, and a sentiment analysis module that supports decision makers with a scorecard with a set of key indicators.

De Maio, A., Fersini, E., Messina, V., Santoro, F., Violi, A. (2020). Exploiting social data for tourism management: the SMARTCAL project. QUALITY & QUANTITY [10.1007/s11135-020-01049-8].

Exploiting social data for tourism management: the SMARTCAL project

De Maio A.;Fersini E.;Messina v;
2020

Abstract

In this work we describe a new Smart Tourism System called SMARTCAL, born during the development of a R&D project for supporting the tourism digitalisation, that includes the release of a pilot in Calabria (a region in the South of Italy). The project is a new initiative to support tourism and hospitality industry with a series of statistical tools for the decision makers, to provide digital and smart services for the tourists that want to build their itineraries with flexibility and to improve the valorisation of a particular territory from the economical and tourist point of view. Indeed, the system is designed by considering Points and Events of Interest (PEOI) and their relationship with the local transport systems, with the hospitality industries and with the policy makers. Two major tools are described in the following: a proactive tourist tour planner algorithm, proposed to generate optimised itineraries based on static and dynamic profiling of the users, and a sentiment analysis module that supports decision makers with a scorecard with a set of key indicators.
Articolo in rivista - Articolo scientifico
Recommender system; Smart tourism; Social media; Tourist tour planning;
English
6-ott-2020
2020
none
De Maio, A., Fersini, E., Messina, V., Santoro, F., Violi, A. (2020). Exploiting social data for tourism management: the SMARTCAL project. QUALITY & QUANTITY [10.1007/s11135-020-01049-8].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/298706
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