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

被引：74

作者：

Cuomo, Salvatore ^{[1
]}

De Michele, Pasquale ^{[1
]}

Piccialli, Francesco ^{[1
]}

Galletti, Ardelio ^{[2
]}

Jung, Jai E. ^{[3
]}

机构：

[1] Univ Naples Federico II, Dept Math & Applicat Renato Caccioppoli, Via Cinthia 26, Naples, Italy

[2] Univ Naples Parthenope, Dept Sci & Technol, Naples, Italy

[3] Chung Ang Univ, Dept Comp Engn, Seoul, South Korea

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2017年 / 79卷

关键词：

Internet of Things; Collaborative reputation systems; Cultural heritage; Classification; Human behaviours; HERITAGE; MUSEUM; INTERNET;

D O I：

10.1016/j.eswa.2017.02.034

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：101 / 111

页数：11

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