In this paper, starting from a comprehensive mathematical model of a Collaborative Reputation Systems (CRSes), we present a research study within the Cultural Heritage domain. The main goal of this study has been the evaluation and classification of the visitors’ behaviour during a cultural event. By means of mobile technological instruments, opportunely deployed within the environment, it is possible to collect data representing the knowledge to be inferred and give a reliable rate for both visitors and exposed artworks. Discussed results, confirm the reliability and the usefulness of CRSes for deeply understand dynamics related to people visiting styles.
IoT-based collaborative reputation system for associating visitors and artworks in a cultural scenario / Cuomo, Salvatore; Michele, Pasquale De; Piccialli, Francesco; Galletti, Ardelio; Jung, Jai E.. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - 79:(2017), pp. 101-111. [10.1016/j.eswa.2017.02.034]
IoT-based collaborative reputation system for associating visitors and artworks in a cultural scenario
CUOMO, SALVATORE;PICCIALLI, FRANCESCO;GALLETTI, ARDELIO;
2017
Abstract
In this paper, starting from a comprehensive mathematical model of a Collaborative Reputation Systems (CRSes), we present a research study within the Cultural Heritage domain. The main goal of this study has been the evaluation and classification of the visitors’ behaviour during a cultural event. By means of mobile technological instruments, opportunely deployed within the environment, it is possible to collect data representing the knowledge to be inferred and give a reliable rate for both visitors and exposed artworks. Discussed results, confirm the reliability and the usefulness of CRSes for deeply understand dynamics related to people visiting styles.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
