IoT-based collaborative reputation system for associating visitors and artworks in a cultural scenario

•We design a CRS to establish the people reputation within Cultural spaces.•The system is able to classify visitor behaviours.•Our approach is suitable for both nonprofit and business oriented organizations. In this paper, starting from a comprehensive mathematical model of a Collaborative Reputatio...

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Bibliographic Details
Published inExpert systems with applications Vol. 79; pp. 101 - 111
Main Authors Cuomo, Salvatore, Michele, Pasquale De, Piccialli, Francesco, Galletti, Ardelio, Jung, Jai E.
Format Journal Article
LanguageEnglish
Published New York Elsevier Ltd 15.08.2017
Elsevier BV
Subjects
Behavior
Classification
Collaborative reputation systems
Cultural heritage
Cultural resources
Human behaviours
Internet of Things
Knowledge representation
Mathematical models
Human behaviours
Cultural heritage
Collaborative reputation systems
Internet of Things
Classification
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Summary:•We design a CRS to establish the people reputation within Cultural spaces.•The system is able to classify visitor behaviours.•Our approach is suitable for both nonprofit and business oriented organizations. 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.
ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2017.02.034