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Bidders Recommender for Public Procurement Auctions Using Machine Learning: Data Analysis, Algorithm, and Case Study with Tenders from Spain

dc.contributor.authorGarcía Rodríguez, Manuel J.
dc.contributor.authorRodríguez Montequín, Vicente 
dc.contributor.authorOrtega Fernández, Francisco de Asís 
dc.contributor.authorVillanueva Balsera, Joaquín Manuel 
dc.date.accessioned2021-02-08T11:00:42Z
dc.date.available2021-02-08T11:00:42Z
dc.date.issued2020
dc.identifier.citationComplexity, 2020, p. 8858258- (2020); doi:10.1155/2020/8858258
dc.identifier.issn1076-2787
dc.identifier.urihttp://hdl.handle.net/10651/57809
dc.description.sponsorshipThe authors are grateful to Pablo Ballesteros-Pérez (PhD in Project Management and expert researcher in procurement auctions from the University of Cádiz (Spain)), for his very valuable comments and suggestions to improve this article. This study was supported by the Plan of Science, Technology and Innovation of the Principality of Asturias (Ref: FC-GRUPIN-IDI/2018/000225).spa
dc.format.extentp. 8858258-spa
dc.language.isoengspa
dc.relation.ispartofComplexityspa
dc.rightsAtribución 4.0 Internacional*
dc.rights© García Rodríguez et al.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleBidders Recommender for Public Procurement Auctions Using Machine Learning: Data Analysis, Algorithm, and Case Study with Tenders from Spainspa
dc.typeinfo:eu-repo/semantics/articlespa
dc.identifier.doi10.1155/2020/8858258
dc.type.dcmitextspa
dc.relation.projectIDFC-GRUPIN-IDI/2018/000225spa
dc.relation.publisherversionhttps://doi.org/10.1155/2020/8858258spa
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessspa


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