Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/5217
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLeal,Fatimaen
dc.contributor.authorVélez,HoracioGonzalezen
dc.contributor.authorBurguillo,JuanCarlosen
dc.contributor.authorBenedita Malheiroen
dc.date.accessioned2018-01-02T15:32:30Z-
dc.date.available2018-01-02T15:32:30Z-
dc.date.issued2017en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/5217-
dc.description.abstracten
dc.languageengen
dc.relation5855en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.titleProfiling And Rating Prediction From Multi-Criteria Crowd-Sourced Hotel Ratingsen
dc.typeconferenceObjecten
dc.typePublicationen
Appears in Collections:CRAS - Articles in International Conferences

Files in This Item:
File Description SizeFormat 
P-00M-X04.pdf1.59 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.