Abstract
Researchers and companies are making great efforts to create new ways of interaction with a increasing number and types of electronic devices, with particular attention to the conversational interface, whether spoken or written. The cultural heritage domain can bring many benefits from the great effort in this field, as a smart conversational system can provide both room/hotel/apartment information and information related to the area, natural or cultural points of interest, tourist routes, social events, history etc. The paper’s main goal is to present a quick and effective service to the tourists visiting a city for the first time. Learning the cultural preferences of the users can enhance customer satisfaction, since a smart system can propose them customised tours in order to reach point of interests according to the expressed preferences. The interaction with the user is simplified by a conversational interface (chatbot).
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References
Adamopoulou, E., Moussiades, L.: An overview of chatbot technology. In: IFIP International Conference on Artificial Intelligence Applications and Innovations, pp. 373–383. Springer (2020)
Montenegro, J.L.Z., da Costa, C.A., da Rosa Righi, R.: Survey of conversational agents in health. Expert Syst. Appl. 129, 56–67 (2019)
Pereira, J., Díaz, Ó.: Using health chatbots for behavior change: a mapping study. J. Med. Syst. 43(5), 135 (2019)
Putri, F.P., Meidia, H., Gunawan, D.: Designing intelligent personalized chatbot for hotel services. In: Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence, pp. 468–472 (2019)
Amato, F., Cozzolino, G., Moscato, F., Moscato, V., Picariello, A., Sperli, G.: Data mining in social network. In: International Conference on Intelligent Interactive Multimedia Systems and Services, pp. 53–63. Springer (2018)
Castiglione, A., Cozzolino, G., Moscato, V., Sperlì, G.: Analysis of community in social networks based on game theory. In: 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), pp. 619–626. IEEE (2019)
Amato, F., Cozzolino, G., Sperlì, G.: A hypergraph data model for expert-finding in multimedia social networks. Information 10(6), 183 (2019)
Amato, F., Cozzolino, G., Moscato, V., Picariello, A., Sperlí, G.: Automatic personalization of visiting path based on users behaviour. In: 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 692–697. IEEE (2017)
Canonico, R., Cozzolino, G., Ferraro, A., Moscato, V., Picariello, A., Sorrentino, F.R., Sperlì, G.: A smart chatbot for specialist domains. In: Workshops of the International Conference on Advanced Information Networking and Applications, pp. 1003–1010. Springer (2020)
Lanza, C., Napoletano, D., Pisani, M., Redi, L.: Travelbot
Menniti, C.: Definizione di un’infrastruttura enterprise service bus per l’estrazione di informazioni da fonti eterogenee
Cozzolino, G.: Using semantic tools to represent data extracted from mobile devices. In: 2018 IEEE International Conference on Information Reuse and Integration (IRI), pp. 530–536. IEEE (2018)
Amato, F., Cozzolino, G., Mazzeo, A., Moscato, F.: An application of semantic techniques for forensic analysis. In: 2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 380–385. IEEE (2018)
Acknowledgement
This paper has been produced with the financial support of the Project financed by Campania Region of Italy ‘REMIAM - Rete Musei intelligenti ad avanzata Multimedialità’. CUP B63D18000360007.
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Canonico, R., Cozzolino, G., Sperlì, G. (2021). Suggesting Cultural Heritage Points of Interest Through a Specialized Chatbot. In: Barolli, L., Li, K., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2020. Advances in Intelligent Systems and Computing, vol 1263. Springer, Cham. https://doi.org/10.1007/978-3-030-57796-4_11
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