Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4943498 | Expert Systems with Applications | 2017 | 50 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli, Ardelio Galletti, Jai E. Jung,