Skip to main content
Top

2021 | OriginalPaper | Chapter

Smart Tourism System in Calabria

Authors : Annarita De Maio, Daniele Ferone, Elisabetta Fersini, Enza Messina, Francesco Santoro, Antonio Violi

Published in: Data Science and Social Research II

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

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.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
go back to reference Abeysundara, S., Baladasan, G., & Kodithuwakku, S. (2005). A genetic algorithm approach to solve the shortest path problem for road maps. In Proceedings of the International Conference on Information and Automation. Abeysundara, S., Baladasan, G., & Kodithuwakku, S. (2005). A genetic algorithm approach to solve the shortest path problem for road maps. In Proceedings of the International Conference on Information and Automation.
go back to reference Ahmed, A., Kanagal, B., Pandey, S., Josifovski, V., Pueyo, L. G., & Yuan, J. (2013). Latent factor models with additive and hierarchically-smoothed user preferences. In Proceedings of the Sixth ACM International Conference on Web Search and Data Mining—WSDM ’13 (pp. 385–394). ACM Press. Ahmed, A., Kanagal, B., Pandey, S., Josifovski, V., Pueyo, L. G., & Yuan, J. (2013). Latent factor models with additive and hierarchically-smoothed user preferences. In Proceedings of the Sixth ACM International Conference on Web Search and Data Mining—WSDM ’13 (pp. 385–394). ACM Press.
go back to reference Alemeye, F., & Getahun, F. (2015, September). Cloud readiness assessment framework and recommendation system. In AFRICON 2015 (pp. 1–5). IEEE. Alemeye, F., & Getahun, F. (2015, September). Cloud readiness assessment framework and recommendation system. In AFRICON 2015 (pp. 1–5). IEEE.
go back to reference Amin, S. A., Philips, J., & Tabrizi, N. (2019). Current trends in collaborative filtering recommendation systems. In: Y. Xia & L. J. Zhang (Eds.), Services—SERVICES 2019. Lecture Notes in Computer Science (Vol. 11517, pp. 46–60). Cham: Springer. Amin, S. A., Philips, J., & Tabrizi, N. (2019). Current trends in collaborative filtering recommendation systems. In: Y. Xia & L. J. Zhang (Eds.), Services—SERVICES 2019. Lecture Notes in Computer Science (Vol. 11517, pp. 46–60). Cham: Springer.
go back to reference Ardissono, L., Goy, A., Petrone, G., Signan, M., & Torasso, P. (2003). Intrigue: Personalized recommendation of tourism attractions for desktop and handset devices. Artificial Intelligence, 17(8–9), 687–714. Ardissono, L., Goy, A., Petrone, G., Signan, M., & Torasso, P. (2003). Intrigue: Personalized recommendation of tourism attractions for desktop and handset devices. Artificial Intelligence, 17(8–9), 687–714.
go back to reference Ardito, L., Cerchione, R., Del Vecchio, P., & Raguseo, E. (2019). Big data in smart tourism: Challenges, issues and opportunities. Ardito, L., Cerchione, R., Del Vecchio, P., & Raguseo, E. (2019). Big data in smart tourism: Challenges, issues and opportunities.
go back to reference Batet, M., Moreno, A., Sánchez, D., Isern, D., & Valls, A. (2012). Turist@: Agent-based personalised recommendation of tourist activities. Expert Systems with Applications, 39(8), 7319–7329.CrossRef Batet, M., Moreno, A., Sánchez, D., Isern, D., & Valls, A. (2012). Turist@: Agent-based personalised recommendation of tourist activities. Expert Systems with Applications, 39(8), 7319–7329.CrossRef
go back to reference Bauer, J., & Nanopoulos, A. (2014). Recommender systems based on quantitative implicit customer feedback. Decision Support Systems, 68, 77–88.CrossRef Bauer, J., & Nanopoulos, A. (2014). Recommender systems based on quantitative implicit customer feedback. Decision Support Systems, 68, 77–88.CrossRef
go back to reference Bedi, P., Agarwal, S. K., Jindal, V., & Richa. (2014). MARST: Multi-Agent Recommender System for e-Tourism using reputation based collaborative filtering. In Databases in Networked Information Systems (pp. 189–201). Springer International Publishing. Bedi, P., Agarwal, S. K., Jindal, V., & Richa. (2014). MARST: Multi-Agent Recommender System for e-Tourism using reputation based collaborative filtering. In Databases in Networked Information Systems (pp. 189–201). Springer International Publishing.
go back to reference Bjelica, M. (2010). Towards TV recommender system: Experiments with user modeling. IEEE Transactions on Consumer Electronics, 56(3), 1763–1769.CrossRef Bjelica, M. (2010). Towards TV recommender system: Experiments with user modeling. IEEE Transactions on Consumer Electronics, 56(3), 1763–1769.CrossRef
go back to reference Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3, 993–1022.MATH Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3, 993–1022.MATH
go back to reference Borràs, J., Moreno, A., & Valls, A. (2014). Intelligent tourism recommender systems: A survey. Expert Systems with Applications, 41(16), 7370–7389.CrossRef Borràs, J., Moreno, A., & Valls, A. (2014). Intelligent tourism recommender systems: A survey. Expert Systems with Applications, 41(16), 7370–7389.CrossRef
go back to reference Castillo, L. A., Armengol, E., Onaindia, E., Sebastia, L., González-Boticario, J., Rodríguez, A., et al. (2008). SAMAP: An user-oriented adaptive system for planning tourist visits. Expert Systems with Applications, 34(2), 1318–1332.CrossRef Castillo, L. A., Armengol, E., Onaindia, E., Sebastia, L., González-Boticario, J., Rodríguez, A., et al. (2008). SAMAP: An user-oriented adaptive system for planning tourist visits. Expert Systems with Applications, 34(2), 1318–1332.CrossRef
go back to reference Ceccaroni, L., Codina, V., Palau, M., & Pous, M. (2009). PaTac: Urban, ubiquitous, personalized services for citizens and tourists. In Proceedings of the 3th International Conference on Digital Society (ICDS) (pp. 7–12). Ceccaroni, L., Codina, V., Palau, M., & Pous, M. (2009). PaTac: Urban, ubiquitous, personalized services for citizens and tourists. In Proceedings of the 3th International Conference on Digital Society (ICDS) (pp. 7–12).
go back to reference Ciancio, C., De Maio, A., Laganà, D., Santoro, F., & Violi, A. A. (2018). A Genetic algorithm framework for the orienteering problem with time windows. New trends in emerging complex real life problems. AIRO Springer Series (pp. 179–188). Ciancio, C., De Maio, A., Laganà, D., Santoro, F., & Violi, A. A. (2018). A Genetic algorithm framework for the orienteering problem with time windows. New trends in emerging complex real life problems. AIRO Springer Series (pp. 179–188).
go back to reference Colombo-Mendoza, L. O., Valencia-García, R., Rodríguez-González, A., Colomo-Palacios, R., & Alor-Hernández, G. (2017). Towards a knowledge-based probabilistic and context-aware social recommender system. Journal of Information Science, 44(4), 464–490.CrossRef Colombo-Mendoza, L. O., Valencia-García, R., Rodríguez-González, A., Colomo-Palacios, R., & Alor-Hernández, G. (2017). Towards a knowledge-based probabilistic and context-aware social recommender system. Journal of Information Science, 44(4), 464–490.CrossRef
go back to reference Covington, P., Adams, J., & Sargin, E. (2016). Deep neural networks for YouTube recommendations. In Proceedings of the 10th ACM Conference on Recommender Systems—RecSys ’16 (pp. 191–198). ACM Press. Covington, P., Adams, J., & Sargin, E. (2016). Deep neural networks for YouTube recommendations. In Proceedings of the 10th ACM Conference on Recommender Systems—RecSys ’16 (pp. 191–198). ACM Press.
go back to reference Del Vecchio, P., Mele, G., Ndou, V., & Secundo, G. (2018). Creating value from social big data: Implications for smart tourism destinations. Information Processing & Management, 54(5), 847–860.CrossRef Del Vecchio, P., Mele, G., Ndou, V., & Secundo, G. (2018). Creating value from social big data: Implications for smart tourism destinations. Information Processing & Management, 54(5), 847–860.CrossRef
go back to reference Fernández-Tobías, I., Cantador, I., Tomeo, P., Anelli, V. W., & Di Noia, T. (2019, January). Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization. In User modeling and user-adapted interaction. Fernández-Tobías, I., Cantador, I., Tomeo, P., Anelli, V. W., & Di Noia, T. (2019, January). Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization. In User modeling and user-adapted interaction.
go back to reference Gajdošík, T. (2019). Big data analytics in smart tourism destinations. A New tool for destination management organizations? In smart tourism as a driver for culture and sustainability (pp. 15–33). Cham: Springer. Gajdošík, T. (2019). Big data analytics in smart tourism destinations. A New tool for destination management organizations? In smart tourism as a driver for culture and sustainability (pp. 15–33). Cham: Springer.
go back to reference Gendreau, M., Laporte, G., & Semet, F. (1998). A tabu search heuristic for the undirected selective travelling salesman problem. European Journal of Operational Research, 106(2–3), 539–545.MATHCrossRef Gendreau, M., Laporte, G., & Semet, F. (1998). A tabu search heuristic for the undirected selective travelling salesman problem. European Journal of Operational Research, 106(2–3), 539–545.MATHCrossRef
go back to reference Geng, X., Zhang, H., Bian, J., & Chua, T.-S. (2015, December). Learning image and user features for recommendation in social networks. In 2015 IEEE International Conference on Computer Vision (ICCV) (pp. 4274–4282). IEEE Geng, X., Zhang, H., Bian, J., & Chua, T.-S. (2015, December). Learning image and user features for recommendation in social networks. In 2015 IEEE International Conference on Computer Vision (ICCV) (pp. 4274–4282). IEEE
go back to reference Golden, B. L., Levy, L., & Vohra, R. (1987). The orienteering problem. Naval Research Logistics, 34(3), 307–318.MATHCrossRef Golden, B. L., Levy, L., & Vohra, R. (1987). The orienteering problem. Naval Research Logistics, 34(3), 307–318.MATHCrossRef
go back to reference Gomez-Uribe, C. A., & Hunt, N. (2015). The netflix recommender system. ACM Transactions on Management Information Systems, 6(4), 1–19.CrossRef Gomez-Uribe, C. A., & Hunt, N. (2015). The netflix recommender system. ACM Transactions on Management Information Systems, 6(4), 1–19.CrossRef
go back to reference Guo, G., Qiu, H., Tan, Z., Liu, Y., Ma, J., & Wang, X. (2017). Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems. Knowledge-Based Systems, 138, 202–207.CrossRef Guo, G., Qiu, H., Tan, Z., Liu, Y., Ma, J., & Wang, X. (2017). Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems. Knowledge-Based Systems, 138, 202–207.CrossRef
go back to reference Hart, P. E., Nilsson, N. J., & Raphad, B. (1968). A formal basis for the heuristic determination of minimum cost paths. IEEE Transactions on Systems Science and Cybernatics, 2, 100–107.CrossRef Hart, P. E., Nilsson, N. J., & Raphad, B. (1968). A formal basis for the heuristic determination of minimum cost paths. IEEE Transactions on Systems Science and Cybernatics, 2, 100–107.CrossRef
go back to reference Hassannia, R., Barenji, A. V., Li, Z., & Alipour, H. (2019). Web-based recommendation system for smart tourism: Multiagent technology. Sustainability, 11(2), 323.CrossRef Hassannia, R., Barenji, A. V., Li, Z., & Alipour, H. (2019). Web-based recommendation system for smart tourism: Multiagent technology. Sustainability, 11(2), 323.CrossRef
go back to reference Hofmann, T. (2004). Latent semantic models for collaborative filtering. ACM Transactions on Information Systems, 22(1), 89–115.CrossRef Hofmann, T. (2004). Latent semantic models for collaborative filtering. ACM Transactions on Information Systems, 22(1), 89–115.CrossRef
go back to reference Khatibi, A., Belém, F., da Silva, A. P. C., Almeida, J. M., & Gonçalves M. A. (2019). Fine-grained tourism prediction: Impact of social and environmental features. Information Processing & Management. Khatibi, A., Belém, F., da Silva, A. P. C., Almeida, J. M., & Gonçalves M. A. (2019). Fine-grained tourism prediction: Impact of social and environmental features. Information Processing & Management.
go back to reference Kinoshita, T., Nagata, M., Shibata, N., Murata, Y., Yasumoto, K., & Ito, M. (2006) A personal navigation system for sightseeing across multiple days. In Proceedings of the 3rd International Conference on Mobile Computing and Ubiquitous Networking (ICMU 2006) (pp. 254–259). Kinoshita, T., Nagata, M., Shibata, N., Murata, Y., Yasumoto, K., & Ito, M. (2006) A personal navigation system for sightseeing across multiple days. In Proceedings of the 3rd International Conference on Mobile Computing and Ubiquitous Networking (ICMU 2006) (pp. 254–259).
go back to reference Konstantinos, N. A., & Zafros, K. (2009). Solving the multi-criteria time-dependent routing and scheduling problem in a multimodal fixed scheduled network. European Journal of Operation Research, 192, 18–28.MathSciNetMATHCrossRef Konstantinos, N. A., & Zafros, K. (2009). Solving the multi-criteria time-dependent routing and scheduling problem in a multimodal fixed scheduled network. European Journal of Operation Research, 192, 18–28.MathSciNetMATHCrossRef
go back to reference Kontogianni, A., Kabassi, K., Virvou, M., & Alepis, E. (2018). Smart tourism through social network user modeling: a literature review. In 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) (pp. 1–4). IEEE. Kontogianni, A., Kabassi, K., Virvou, M., & Alepis, E. (2018). Smart tourism through social network user modeling: a literature review. In 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) (pp. 1–4). IEEE.
go back to reference Kotkov, D., Wang, S., & Veijalainen, J. (2016). A survey of serendipity in recommender systems. Knowledge-Based Systems, 111, 180–192.CrossRef Kotkov, D., Wang, S., & Veijalainen, J. (2016). A survey of serendipity in recommender systems. Knowledge-Based Systems, 111, 180–192.CrossRef
go back to reference Kuo, T.-M., Lee, C.-P., & Lin, C.-J. (2014). Large-scale kernel rankSVM. In Proceedings of the 2014 SIAM International Conference on Data Mining (pp. 812–820). SIAM. Kuo, T.-M., Lee, C.-P., & Lin, C.-J. (2014). Large-scale kernel rankSVM. In Proceedings of the 2014 SIAM International Conference on Data Mining (pp. 812–820). SIAM.
go back to reference Liebig, T., Piatkowski, N., Bockermann, C., & Morik, K. (2017). Dynamic route planning with real-time traffic predictions. Information Systems. Liebig, T., Piatkowski, N., Bockermann, C., & Morik, K. (2017). Dynamic route planning with real-time traffic predictions. Information Systems.
go back to reference Linden, G., Smith, B., & York, J. (2003). Amazon.com recommendations: item-to-item collaborative filtering. IEEE Internet Computing, 7(1):76–80. Linden, G., Smith, B., & York, J. (2003). Amazon.com recommendations: item-to-item collaborative filtering. IEEE Internet Computing, 7(1):76–80.
go back to reference Liu, J., Dolan, P., & Pedersen, E. R. (2010). Personalized news recommendation based on click behavior. In Proceedings of the 15th International Conference on Intelligent User Interfaces—IUI ’10 (pp. 31–40). ACM Press. Liu, J., Dolan, P., & Pedersen, E. R. (2010). Personalized news recommendation based on click behavior. In Proceedings of the 15th International Conference on Intelligent User Interfaces—IUI ’10 (pp. 31–40). ACM Press.
go back to reference Lorenzi, F., Loh, S., & Abel, M. (2011, August). PersonalTour: A recommender system for travel packages. In 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (pp. 333–336). IEEE. Lorenzi, F., Loh, S., & Abel, M. (2011, August). PersonalTour: A recommender system for travel packages. In 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (pp. 333–336). IEEE.
go back to reference Lozano, A., & Storchi, G. (2002). Shortest viable hyperpath in multimodal networks. Transportation Research Part B, 36, 853–874.CrossRef Lozano, A., & Storchi, G. (2002). Shortest viable hyperpath in multimodal networks. Transportation Research Part B, 36, 853–874.CrossRef
go back to reference Maruyama, A., Shibata, N., Murata, Y., Yasumoto, K., & Ito, M. (2004). P–tour: A personal navigation system for tourism. In Proceedings of 11th World Congress on ITS (pp. 18–21). Maruyama, A., Shibata, N., Murata, Y., Yasumoto, K., & Ito, M. (2004). P–tour: A personal navigation system for tourism. In Proceedings of 11th World Congress on ITS (pp. 18–21).
go back to reference Mnih, A., & Salakhutdinov, R. R. (2008). Probabilistic matrix factorization. In Advances in neural information processing systems (pp. 1257–1264). Mnih, A., & Salakhutdinov, R. R. (2008). Probabilistic matrix factorization. In Advances in neural information processing systems (pp. 1257–1264).
go back to reference Moreno, A., Valls, A., Isern, D., Marin, L., & BorríS, J. (2013). SigTur/E-Destination: Ontology-based personalized recommendation of tourism and leisure activities. Engineering Applications of Artificial Intelligence, 26(1), 633–651.CrossRef Moreno, A., Valls, A., Isern, D., Marin, L., & BorríS, J. (2013). SigTur/E-Destination: Ontology-based personalized recommendation of tourism and leisure activities. Engineering Applications of Artificial Intelligence, 26(1), 633–651.CrossRef
go back to reference Narboneta, C. G., & Teknomo, K. (2013). OpenTripPlanner, OpenStreetMap, general transit feed specification: Tools for disaster relief and recovery. In 7th IEEE International Conference Humanoid, Nanotechnology, Information Technology Communication and Control, Environment and Management. Narboneta, C. G., & Teknomo, K. (2013). OpenTripPlanner, OpenStreetMap, general transit feed specification: Tools for disaster relief and recovery. In 7th IEEE International Conference Humanoid, Nanotechnology, Information Technology Communication and Control, Environment and Management.
go back to reference Nguyen, H., Richards, R., Chan, C.-C., & Liszka, K. J. (2016). RedTweet: Recommendation engine for reddit. Journal of Intelligent Information Systems, 47(2), 247–265.CrossRef Nguyen, H., Richards, R., Chan, C.-C., & Liszka, K. J. (2016). RedTweet: Recommendation engine for reddit. Journal of Intelligent Information Systems, 47(2), 247–265.CrossRef
go back to reference Nilashi, M., Dalvi-Esfahani, M., Roudbaraki, M. Z., Ramayah, T., & Ibrahim, O. (2016). A multi-criteria collaborative filtering recommender system using clustering and regression techniques. Journal of Soft Computing and Decision Support Systems, 3(5), 24–30. Nilashi, M., Dalvi-Esfahani, M., Roudbaraki, M. Z., Ramayah, T., & Ibrahim, O. (2016). A multi-criteria collaborative filtering recommender system using clustering and regression techniques. Journal of Soft Computing and Decision Support Systems, 3(5), 24–30.
go back to reference Pajor, T. (2009). Multi-Modal Route Planning. Dissertation. Pajor, T. (2009). Multi-Modal Route Planning. Dissertation.
go back to reference Pan, W. (2016). A survey of transfer learning for collaborative recommendation with auxiliary data. Neurocomputing, 177, 447–453.CrossRef Pan, W. (2016). A survey of transfer learning for collaborative recommendation with auxiliary data. Neurocomputing, 177, 447–453.CrossRef
go back to reference Pazzani, M. J., & Billsus, D. (2007). Content-based recommendation systems. The adaptive web (pp. 325–341). Berlin, Heidelberg: Springer.CrossRef Pazzani, M. J., & Billsus, D. (2007). Content-based recommendation systems. The adaptive web (pp. 325–341). Berlin, Heidelberg: Springer.CrossRef
go back to reference Pecli, A., Giovanini, B., Pacheco, C. C., Moreira, C., Ferreira, F., Tosta, F., et al. (2015). Dimensionality reduction for supervised learning in link prediction problems. In Proceedings of the 17th International Conference on Enterprise Information Systems (pp. 295–302). SCITEPRESS - Science and and Technology Publications. Pecli, A., Giovanini, B., Pacheco, C. C., Moreira, C., Ferreira, F., Tosta, F., et al. (2015). Dimensionality reduction for supervised learning in link prediction problems. In Proceedings of the 17th International Conference on Enterprise Information Systems (pp. 295–302). SCITEPRESS - Science and and Technology Publications.
go back to reference Pimenidis, E., Polatidis, N., & Mouratidis, H. (2019). Mobile recommender systems: Identifying the major concepts. Journal of Information Science, 45(3), 387–397.CrossRef Pimenidis, E., Polatidis, N., & Mouratidis, H. (2019). Mobile recommender systems: Identifying the major concepts. Journal of Information Science, 45(3), 387–397.CrossRef
go back to reference Pronoza, E., Yagunova, E., & Volskaya, S. (2016). Aspect-based restaurant information extraction for the recommendation system. In Human language technology. Challenges for computer science and linguistics (pp. 371–385). Springer International Publishing. Pronoza, E., Yagunova, E., & Volskaya, S. (2016). Aspect-based restaurant information extraction for the recommendation system. In Human language technology. Challenges for computer science and linguistics (pp. 371–385). Springer International Publishing.
go back to reference Rodriguez, M., Posse, C., & Zhang, E. (2012). Multiple objective optimization in recommender systems. In Proceedings of the Sixth ACM Conference on Recommender Systems—RecSys ’12 (pp. 11–18). ACM Press. Rodriguez, M., Posse, C., & Zhang, E. (2012). Multiple objective optimization in recommender systems. In Proceedings of the Sixth ACM Conference on Recommender Systems—RecSys ’12 (pp. 11–18). ACM Press.
go back to reference Ruotsalo, T., Haav, K., Stoyanov, A., Roche, S., Fani, E., Deliai, R., et al. (2013). SmartMuseum: A mobile recommender system for the web of data. Web Semantics, 20, 50–67.CrossRef Ruotsalo, T., Haav, K., Stoyanov, A., Roche, S., Fani, E., Deliai, R., et al. (2013). SmartMuseum: A mobile recommender system for the web of data. Web Semantics, 20, 50–67.CrossRef
go back to reference Santiago, F. M., López, F. A., Montejo-Ráez, A., & López, A. U. (2012). GeOasis: A knowledge-based geo-referenced tourist assistant. Expert Systems with Applications, 39(14), 11737–11745.CrossRef Santiago, F. M., López, F. A., Montejo-Ráez, A., & López, A. U. (2012). GeOasis: A knowledge-based geo-referenced tourist assistant. Expert Systems with Applications, 39(14), 11737–11745.CrossRef
go back to reference Sebastia, L., Garcia, I., Onaindia, E., & Guzman, C. (2008). e-Tourism: A tourist recommendation and planning application. In Proceedings of the 20th Institute of Electrical and Electronics Engineers (IEEE), International Conference on Tools with Artificial Intelligence (ICTAI) (Vol. 2, pp. 89–96). Sebastia, L., Garcia, I., Onaindia, E., & Guzman, C. (2008). e-Tourism: A tourist recommendation and planning application. In Proceedings of the 20th Institute of Electrical and Electronics Engineers (IEEE), International Conference on Tools with Artificial Intelligence (ICTAI) (Vol. 2, pp. 89–96).
go back to reference Sierpiński, G., Celiński, I., & Staniek, M. (2014). Using trip planners in developing proper transportation behavior. International Journal of Architectural and Environmental Engineering, 8. Sierpiński, G., Celiński, I., & Staniek, M. (2014). Using trip planners in developing proper transportation behavior. International Journal of Architectural and Environmental Engineering, 8.
go back to reference Souffriau, W., & Vansteenwegen, P. (2010). Tourist trip planning functionalities: State–of–the–art and future. In F. Daniel & F. M. Facca (Eds.), Current Trends in Web Engineering. ICWE 2010. Lecture Notes in Computer Science (Vol. 6385). Berlin, Heidelberg: Springer. Souffriau, W., & Vansteenwegen, P. (2010). Tourist trip planning functionalities: State–of–the–art and future. In F. Daniel & F. M. Facca (Eds.), Current Trends in Web Engineering. ICWE 2010. Lecture Notes in Computer Science (Vol. 6385). Berlin, Heidelberg: Springer.
go back to reference United Nations World Tourism Organization. (2018). UNWTO Tourism Highlights. United Nations World Tourism Organization. (2018). UNWTO Tourism Highlights.
go back to reference Verma, C., Hart, M., Bhatkar, S., Parker-Wood, A., & Dey, S. (2016). Improving scalability of personalized recommendation systems for enterprise knowledge workers. IEEE Access, 4, 204–215.CrossRef Verma, C., Hart, M., Bhatkar, S., Parker-Wood, A., & Dey, S. (2016). Improving scalability of personalized recommendation systems for enterprise knowledge workers. IEEE Access, 4, 204–215.CrossRef
go back to reference Wang, H.-C., Jhou, H.-T., & Tsai, Y.-S. (2018). Adapting topic map and social influence to the personalized hybrid recommender system. Information Sciences. Wang, H.-C., Jhou, H.-T., & Tsai, Y.-S. (2018). Adapting topic map and social influence to the personalized hybrid recommender system. Information Sciences.
go back to reference Wang, W., Zeng, G., Zhang, D., Huang, Y., Qiu, Y., & Wang, X. (2008). An intelligent ontology and Bayesian network based semantic mashup for tourism. In Proceedings of the IEEE Congress on Services—Part I (Services) (pp. 128–135). Wang, W., Zeng, G., Zhang, D., Huang, Y., Qiu, Y., & Wang, X. (2008). An intelligent ontology and Bayesian network based semantic mashup for tourism. In Proceedings of the IEEE Congress on Services—Part I (Services) (pp. 128–135).
go back to reference Yin, Z., Yueting, Z., Jiangqin, W., & Liang, Z. (2009). Applying probabilistic latent semantic analysis to multi-criteria recommender system. AI Communications, 22(2), 97–107.MathSciNetMATHCrossRef Yin, Z., Yueting, Z., Jiangqin, W., & Liang, Z. (2009). Applying probabilistic latent semantic analysis to multi-criteria recommender system. AI Communications, 22(2), 97–107.MathSciNetMATHCrossRef
go back to reference Zhai, H., & Li, J. (2015). Refine social relations and differentiate the same friends’ influence in recommender system. In Mining intelligence and knowledge exploration (pp. 504–514). Springer International Publishing. Zhai, H., & Li, J. (2015). Refine social relations and differentiate the same friends’ influence in recommender system. In Mining intelligence and knowledge exploration (pp. 504–514). Springer International Publishing.
go back to reference Zhang, S., Yao, L., Sun, A., & Tay, Y. (2019). Deep learning based recommender system: A survey and new perspectives. ACM Computing Surveys, 52(5). Zhang, S., Yao, L., Sun, A., & Tay, Y. (2019). Deep learning based recommender system: A survey and new perspectives. ACM Computing Surveys, 52(5).
go back to reference Ziliaskopoulos, A., & Wardell, W. (2002). An intermodal optimum path algorithm for multimodal networks with dynamic arc travel times and switching delays. European Journal of Operational Research, 125, 486–502.MathSciNetMATHCrossRef Ziliaskopoulos, A., & Wardell, W. (2002). An intermodal optimum path algorithm for multimodal networks with dynamic arc travel times and switching delays. European Journal of Operational Research, 125, 486–502.MathSciNetMATHCrossRef
Metadata
Title
Smart Tourism System in Calabria
Authors
Annarita De Maio
Daniele Ferone
Elisabetta Fersini
Enza Messina
Francesco Santoro
Antonio Violi
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-51222-4_11

Premium Partner