Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/142440
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorSalamó Llorente, Maria-
dc.contributor.authorMiguel Martínez, David-
dc.date.accessioned2019-10-16T09:39:12Z-
dc.date.available2019-10-16T09:39:12Z-
dc.date.issued2019-02-01-
dc.identifier.urihttp://hdl.handle.net/2445/142440-
dc.descriptionTreballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2019, Director: Maria Salamó Llorenteca
dc.description.abstract[en] The wide variety of products and services available nowadays in the market obstruct its selection process. Furthermore, with the fact that today we have access to a great amount of information, the decision process can be over-whelming. Traditionally, this effect is suppressed by the existence of the shop assistant role, which can guide the customer, giving a personalized experience adapted to their needs. In the digital environment, however, the lack of this individualization has required the development of diverse systems that replicate the shop assistant role, being able to learn about the user and giving a unique experience to each of them. These systems are known as recommendation systems. This project foundation will be one of those systems, in particular, a conversational content-based recommendation system. That system will be abstracted in such a way that any device will be able tointeract with it. A new platform will be generated to be able to use that system in an iOS mobile application. That platform may be used as benchmark of different recommendation algorithms.ca
dc.format.extent4 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isocatca
dc.rights(c) David Miguel Martínez, 2019-
dc.sourceTreballs Finals de Grau (TFG) - Enginyeria Informàtica-
dc.subject.classificationSistemes d'ajuda a la decisióca
dc.subject.classificationSistemes informàtics interactiusca
dc.subject.classificationProgramarica
dc.subject.classificationTreballs de fi de grauca
dc.subject.classificationAplicacions mòbilsca
dc.subject.classificationAlgorismes computacionalsca
dc.subject.otherDecision support systemsen
dc.subject.otherInteractive computer systemsen
dc.subject.otherComputer softwareen
dc.subject.otherMobile appsen
dc.subject.otherComputer algorithmsen
dc.subject.otherBachelor's thesesen
dc.titleImplementació d’una aplicació mòbil que permet la utilització d’un sistema de recomanació basat en crítiquesca
dc.typeinfo:eu-repo/semantics/bachelorThesisca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Treballs Finals de Grau (TFG) - Enginyeria Informàtica

Files in This Item:
File Description SizeFormat 
resum.pdfResum61.02 kBAdobe PDFView/Open


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