ResRec: A multi-criteria tool for resource recommendation

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dc.catalogadoraba
dc.contributor.authorArias, Michael
dc.contributor.authorRojas, Eric
dc.contributor.authorLee, Wai Lam Jonathan
dc.contributor.authorMuñoz Gama, Jorge
dc.contributor.authorSepúlveda Fernández, Marcos Ernesto
dc.date.accessioned2024-01-17T19:36:09Z
dc.date.available2024-01-17T19:36:09Z
dc.date.issued2016
dc.description.abstractDynamic resource allocation is considered a key aspect withinbusiness process management. Selecting the most suitable resources is achallenge for those in charge of making the allocation, because the efficiency with which this task is executed, can contribute to the quality ofthe results, and improve the process performance. Different mechanismshave been proposed to improve resource allocation. However, there is aneed for more flexible allocation methods that integrate a set of conditions and requirements defined at run-time, and also, allow the combination of different criteria to evaluate resources. In this paper, we presentResRec, a novel Multi-factor Criteria tool that can be used to recommend and allocate resources dynamically. The tool provides the featureof solving individual requests (On-demand), or requests made in blocks(Batch) through a recommender system developed in ProM.
dc.fechaingreso.objetodigital2024-01-19
dc.format.extent6 páginas
dc.fuente.origenORCID-ene24
dc.identifier.issn1613-0073
dc.identifier.scopusidSCOPUS_ID:2-s2.0-85032735255
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/80597
dc.information.autorucEscuela de Ingeniería; Rojas, Eric; 0000-0002-2570-1861; 224862
dc.information.autorucEscuela de Ingeniería; Lee, Wai Lam Jonathan; 0000-0002-3531-3520; 1039657
dc.information.autorucEscuela de Ingeniería; Muñoz Gama, Jorge; 0000-0002-6908-3911; 249881
dc.information.autorucEscuela de Ingeniería; Sepúlveda Fernández, Marcos Ernesto; S/I; 80415
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final22
dc.pagina.inicio17
dc.relation.ispartofInternational Conference on Business Process Management (14th : 2016 : Brasil, Rio de Janeiro)
dc.revistaCEUR Workshop Proceedings
dc.rightsacceso abierto
dc.rights.licenseCC0 1.0 DEEDCC0 1.0 Universal
dc.rights.urihttps://creativecommons.org/publicdomain/zero/1.0/deed.es
dc.subjectResource allocation
dc.subjectProcess mining
dc.subjectBusiness processes
dc.subjectRecommendation systems
dc.subjectOrganizational perspective
dc.subject.ddc000
dc.subject.deweyCiencias de la computaciónes_ES
dc.titleResRec: A multi-criteria tool for resource recommendation
dc.typecomunicación de congreso
dc.volumen1789
sipa.codpersvinculados224862
sipa.codpersvinculados1039657
sipa.codpersvinculados249881
sipa.codpersvinculados80415
sipa.indexScopus
sipa.indexPubmed
sipa.trazabilidadORCID;2024-01-08
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