Repository logo
 
Publication

Recommendation of Workplaces in a Coworking Building: A Cyber-Physical Approach Supported by a Context-Aware Multi-Agent System

2020-06Journal article Open access
Simple item page
dc.contributor.authorGomes, Luis
dc.contributor.authorAlmeida, Carlos
dc.contributor.authorVale, Zita
dc.date.accessioned2021-09-20T15:18:18Z
dc.date.available2021-09-20T15:18:18Z
dc.date.issued2020-06
dc.description.abstractRecommender systems are able to suggest the most suitable items to a given user, taking into account the user’s and item`s data. Currently, these systems are offered almost everywhere in the online world, such as in e-commerce websites, newsletters, or video platforms. To improve recommendations, the user’s context should be considered to provide more accurate algorithms able to achieve higher payoffs. In this paper, we propose a pre-filtering recommendation system that considers the context of a coworking building and suggests the best workplaces to a user. A cyber-physical context-aware multi-agent system is used to monitor the building and feed the pre-filtering process using fuzzy logic. Recommendations are made by a multi-armed bandit algorithm, using ϵ -greedy and upper confidence bound methods. The paper presents the main results of simulations for one, two, three, and five years to illustrate the use of the proposed systempt_PT
dc.description.sponsorshipThis work was developed under the MAS-SOCIETY project–PTDC/EEI-EEE/28954/2017 and received funding from FEDER Funds through COMPETE program and from National Funds through FCT under the project UIDB/00760/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/s20123597pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/18445
dc.language.isoengpt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/20/12/3597pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectContext-aware recommender systemspt_PT
dc.subjectPre-filteringpt_PT
dc.subjectFuzzy logicpt_PT
dc.subjectMulti-agent systempt_PT
dc.subjectMulti-armed banditpt_PT
dc.titleRecommendation of Workplaces in a Coworking Building: A Cyber-Physical Approach Supported by a Context-Aware Multi-Agent Systempt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/150159/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/157466/PT
oaire.citation.issue12pt_PT
oaire.citation.startPage3597pt_PT
oaire.citation.titleSensorspt_PT
oaire.citation.volume20pt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStream6817 - DCRRNI ID
person.familyNameVale
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id6F19-CB63-C8A8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-8597-3383
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationeaac2304-a007-4531-8398-ee9f426c2f52
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isProjectOfPublication3ed6208b-ca2d-4045-acd4-71adf2095c38
relation.isProjectOfPublicationc8b89528-2f4d-4be2-b8bb-46826a29deeb
relation.isProjectOfPublication.latestForDiscoveryc8b89528-2f4d-4be2-b8bb-46826a29deeb

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ART_GECAD_luis_gomes_2020.pdf
Size:
2.92 MB
Format:
Adobe Portable Document Format
Download

Collections

ISEP – GECAD – Artigos