Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/16967
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Campo DCValorIdioma
dc.contributor.authorBrochado, A.-
dc.contributor.authorRita, P.-
dc.contributor.authorMoro, S.-
dc.date.accessioned2018-12-14T11:54:29Z-
dc.date.available2018-12-14T11:54:29Z-
dc.date.issued2019-
dc.identifier.issn1938-8160-
dc.identifier.urihttp://hdl.handle.net/10071/16967-
dc.description.abstractThis study employed a data mining approach to model the quantitative scores given to hostels located in Beijing, China, and Lisbon, Portugal, in guests’ online reviews posted on Booking.com. A neural network was built using a total of nine input features (e.g. age, most and least favorite aspects, travel and traveler types, nationality, hostel, and month and weekday of review) to model the score distributions. Each feature’s contribution to the scores was then extracted through data-based sensitivity analysis. The most favorite aspect and continent of origin were the two most significant features for hostels in both cities. Lisbon guests were also highly influenced by the hostel itself and traveler type as compared with Beijing travelers. Notably, facilities are the most favorite aspect valued by guests staying in Lisbon, while those that stay in Beijing hostels give more importance to value for money. These findings denote different guest behaviors are associated with each city’s particular offerings.eng
dc.language.isoeng-
dc.publisherRoutledge/Taylor and Francis-
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147301/PT-
dc.relationUID/MULTI/0446/2013-
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147229/PT-
dc.rightsopenAccess-
dc.subjectService qualityeng
dc.subjectHostelseng
dc.subjectOnline reviewseng
dc.subjectData miningeng
dc.subjectBeijingeng
dc.subjectLisboneng
dc.titleDiscovering the patterns of online reviews of hostels in Beijing and Lisboneng
dc.typearticle-
dc.event.date2018-
dc.pagination172 - 191-
dc.peerreviewedyes-
dc.journalJournal of China Tourism Research-
dc.volume15-
dc.number2-
degois.publication.firstPage172-
degois.publication.lastPage191-
degois.publication.issue2-
degois.publication.titleDiscovering the patterns of online reviews of hostels in Beijing and Lisboneng
dc.date.updated2019-04-12T16:09:53Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.identifier.doi10.1080/19388160.2018.1543065-
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopor
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Sociologiapor
dc.subject.fosDomínio/Área Científica::Humanidades::Línguas e Literaturaspor
dc.date.embargo2020-06-14
iscte.subject.odsReduzir as desigualdadespor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-49347-
iscte.alternateIdentifiers.scopus2-s2.0-85057347249-
Aparece nas coleções:CIS-RI - Artigos em revistas científicas internacionais com arbitragem científica
DINÂMIA'CET-RI - Artigos em revistas internacionais com arbitragem científica
ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica

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