Publicação
Trust model for digital twin based recommendation system
| dc.contributor.author | Pires, Flávia | |
| dc.contributor.author | Moreira, António Paulo G. M. | |
| dc.contributor.author | Leitão, Paulo | |
| dc.date.accessioned | 2023-02-16T11:48:02Z | |
| dc.date.available | 2023-02-16T11:48:02Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | The digital twin has been gaining significant attention from the academia and industry sectors in the last few years. The digital twin concept enables monitoring, diagnosis, optimisation, and decision support tasks to improve industrial systems operation. One of the identified challenges in this field is the need to improve the decision support cycle by decreasing decision-making time and improving the accuracy of recommendations by considering human intervention in the cycle. Bearing this in mind, the paper explores the use of trust models to improve the recommendation cycle in the digital twin. For this purpose, a literature overview on trust applied in recommendation systems was performed, focusing on the concept, its properties and previous models. Considering this analysis, a trust-based model is specified in a digital twin artificial intelligence-based recommendation system. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Pires, Flavia; Moreira, Antonio Paulo; Leitão, Paulo (2022). Trust model for digital twin based recommendation system. In 5th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2022. 1034, p. 145 -159 | pt_PT |
| dc.identifier.doi | 10.1007/978-3-030-99108-1_11 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10198/26989 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Springer, Cham | pt_PT |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | An Intelligent Decision Support Approach for Industrial Digital Twin | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Digital twin | pt_PT |
| dc.subject | Recommendation system | pt_PT |
| dc.subject | Trust model | pt_PT |
| dc.title | Trust model for digital twin based recommendation system | pt_PT |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UIDB/05757/2020 | |
| oaire.awardNumber | SFRH/BD/143243/2019 | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | An Intelligent Decision Support Approach for Industrial Digital Twin | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/POR_NORTE/SFRH%2FBD%2F143243%2F2019/PT | |
| oaire.citation.endPage | 159 | pt_PT |
| oaire.citation.startPage | 145 | pt_PT |
| oaire.citation.title | 5th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2022 | pt_PT |
| oaire.citation.volume | 1034 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | POR_NORTE | |
| person.familyName | Pires | |
| person.familyName | Leitão | |
| person.givenName | Flávia | |
| person.givenName | Paulo | |
| person.identifier | https://scholar.google.pt/citations?user=an9quSsAAAAJ&hl=pt-PT | |
| person.identifier | A-8390-2011 | |
| person.identifier.ciencia-id | A119-72AB-6255 | |
| person.identifier.ciencia-id | 8316-8F13-DA71 | |
| person.identifier.orcid | 0000-0001-7899-3020 | |
| person.identifier.orcid | 0000-0002-2151-7944 | |
| person.identifier.scopus-author-id | 57200412919 | |
| person.identifier.scopus-author-id | 35584388900 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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