Abstract
In this paper an Android application called TindArt is presented. It has been developed to investigate a way to profile the user in cultural contexts, through the application of Recommender Systems for museum visits in the future. The purpose of the research also includes the study of the User Experience with TindArt to understand how it could be used in a real museum context. Two pilot studies are also presented.
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Notes
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ISTAT, I musei, le aree archeologiche e i monumenti in Italia. Anno 2017, https://www.istat.it/it/files//2019/01/Report-Musei_2017_con_loghi.pdf.
- 2.
Global Attractions Attendance Report, Themed Entertainment Association (TEA) and the Economics practice at AECOM, 2018, https://www.aecom.com/content/wp-content/uploads/2019/05/Theme-Index-2018-5-1.pdf.
- 3.
European Report CULTURAL ACCESS AND PARTICIPATION, 2013: http://ec.europa.eu/commfrontoffice/publicopinion/archives/ebs/ebs_399_en.pdf.
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The user account management is relegated to Google Firebase, https://firebase.google.com/.
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Zilio, D., Orio, N., Toniolo, C. (2020). TindArt, an Experiment on User Profiling for Museum Applications. In: Ceci, M., Ferilli, S., Poggi, A. (eds) Digital Libraries: The Era of Big Data and Data Science. IRCDL 2020. Communications in Computer and Information Science, vol 1177. Springer, Cham. https://doi.org/10.1007/978-3-030-39905-4_13
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