Publication
Sensitivity Analysis of the SimQL Trustworthy Recommendation System
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| dc.contributor.author | Flávia Pires | |
| dc.contributor.author | Moreira, António Paulo G. M. | |
| dc.contributor.author | Paulo Leitão | |
| dc.contributor.author | Leitão, Paulo | |
| dc.contributor.author | Pires, Flávia | |
| dc.date.accessioned | 2025-02-28T16:15:49Z | |
| dc.date.available | 2025-02-28T16:15:49Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | The manufacturing domain faces a challenge in making timely decisions due to the large amounts of data generated by digital technologies such as Internet-of-Things, Artificial Intelligence (AI), Digital Twin, and Big Data. By integrating recommendation systems is possible to support the decision-makers in handling large amounts of data by delivering personalised, accurate, and quality recommendations. One example is the SimQL recommendation model that incorporates AI algorithms with trust and similarity measures to enhance recommendation quality. This paper aims to analyse the sensitivity of the SimQL model’s parameters, such as dataset conditions, trust and learning factors, and their impact on the final recommendation quality. A fuzzy logic approach is employed to evaluate the model and identify optimal operating conditions for the recommendation system. By implementing the findings of this study, manufacturers can improve the acceptance and adoption of the SimQL trustworthy recommendation system in this field. | eng |
| dc.description.sponsorship | The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021). The author Flávia Pires thanks the Fundação para a Ciência e Tecnologia (FCT), Portugal, for the PhD Grant SFRH/BD/143243/2019. | |
| dc.identifier.citation | Pires, F., Moreira, A.P., Leitão, P. (2024). Sensitivity Analysis of the SimQL Trustworthy Recommendation System. In 13th International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing (SOHOMA 2023). Cham: Springer Nature, p. 333-344. ISBN 978-303153444-7. | |
| dc.identifier.doi | 10.1007/978-3-031-53445-4_28 | |
| dc.identifier.isbn | 9783031534447 | |
| dc.identifier.isbn | 9783031534454 | |
| dc.identifier.uri | http://hdl.handle.net/10198/34327 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Springer Nature | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | An Intelligent Decision Support Approach for Industrial Digital Twin | |
| dc.relation | LA/P/0007/2021 | |
| dc.relation.ispartof | Studies in Computational Intelligence | |
| dc.relation.ispartof | Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Manufacturing | |
| dc.subject | Decision-making | |
| dc.subject | Recommendation system | |
| dc.subject | Sensitivity analysis | |
| dc.title | Sensitivity Analysis of the SimQL Trustworthy Recommendation System | |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| 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/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/POR_NORTE/SFRH%2FBD%2F143243%2F2019/PT | |
| oaire.citation.endPage | 344 | |
| oaire.citation.startPage | 333 | |
| oaire.citation.title | 13th International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing (SOHOMA 2023) | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | POR_NORTE | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Leitão | |
| person.familyName | Pires | |
| person.givenName | Paulo | |
| person.givenName | Flávia | |
| person.identifier | A-8390-2011 | |
| person.identifier | https://scholar.google.pt/citations?user=an9quSsAAAAJ&hl=pt-PT | |
| person.identifier.ciencia-id | 8316-8F13-DA71 | |
| person.identifier.ciencia-id | A119-72AB-6255 | |
| person.identifier.orcid | 0000-0002-2151-7944 | |
| person.identifier.orcid | 0000-0001-7899-3020 | |
| person.identifier.scopus-author-id | 35584388900 | |
| person.identifier.scopus-author-id | 57200412919 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| 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 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
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