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Recommendation & mobile systems - a state of the art for tourism

dc.contributor.authorLuz, Nuno
dc.contributor.authorAnacleto, Ricardo
dc.contributor.authorAlmeida, Ana
dc.contributor.authorFigueiredo, Lino
dc.date.accessioned2013-04-29T13:22:22Z
dc.date.available2013-04-29T13:22:22Z
dc.date.issued2010
dc.date.updated2013-04-21T15:29:08Z
dc.description.abstractRecommendation systems have been growing in number over the last fifteen years. To evolve and adapt to the demands of the actual society, many paradigms emerged giving birth to even more paradigms and hybrid approaches. These approaches contain strengths and weaknesses that need to be evaluated according to the knowledge area in which the system is going to be implemented. Mobile devices have also been under an incredible growth rate in every business area, and there are already lots of mobile based systems to assist tourists. This explosive growth gave birth to different mobile applications, each having their own advantages and disadvantages. Since recommendation and mobile systems might as well be integrated, this work intends to present the current state of the art in tourism mobile and recommendation systems, as well as to state their advantages and disadvantages.por
dc.identifier.urihttp://hdl.handle.net/10400.22/1467
dc.language.isoengpor
dc.subjectTourismpor
dc.subjectAdaptive recommendationpor
dc.subjectMobile systempor
dc.subjectCollaborative filteringpor
dc.titleRecommendation & mobile systems - a state of the art for tourismpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceCoimbra, 2010por
oaire.citation.title5th WACI - Workshop on Applications of Computational Intelligencepor
person.familyNameFigueiredo
person.givenNameLino
person.identifier.ciencia-idD21E-663F-11CE
person.identifier.orcid0000-0002-9375-4228
person.identifier.scopus-author-id7006640438
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication2b4c1659-86b2-453f-ab78-a3f2d3b81169
relation.isAuthorOfPublication.latestForDiscovery2b4c1659-86b2-453f-ab78-a3f2d3b81169

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