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Guest reputation indexes to analyze hotel’s online reputation using data extracted from OTAs

2015Conference object Restricted access
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dc.contributor.authorChoupinha, R.
dc.contributor.authorCorreia, Marisol B.
dc.contributor.authorRamos, Célia M. Q.
dc.contributor.authorMartins, Daniel
dc.contributor.authorSerra, Francisco
dc.date.accessioned2015-10-15T12:51:59Z
dc.date.available2015-10-15T12:51:59Z
dc.date.issued2015
dc.date.updated2015-10-14T17:28:03Z
dc.description.abstractNowadays many travelers use online travel agency (OTAs) to book flights, hotel rooms, rent-a-cars, cruises or entire vacation packages. Usually OTAs allow their users to give scores and to write reviews about what was used. Each OTA defines the terms and conditions for guest rating or review score and hoteliers are giving increasing importance to the scores and reviews their guests do in OTAs. This paper proposes two guest reputation index to help hoteliers to monitorize their presence in OTAs. The Aggregated Guest Reputation Index (AGRI), which shows the positioning of a hotel in different OTAs and it is calculated from the scores obtained by the hotels in those OTAs. Another one, the Semantic Guest Reputation Index (SGRI), which incorporates the social reputation of a hotel and that can be visualized through the development of word clouds or tag clouds. Examples of usage of these indexes are given with data extracted from 5-stars hotels in the Algarve, south region of Portugal, that are available on Booking and Expedia.pt_PT
dc.identifier.citationCorreia, Marisol de Brito. Guest Reputation Indexes to Analyze Hotel’s Online Reputation Using Data Extracted from OTAs, Trabalho apresentado em 6th International Conference on Applied Informatics and Computing Theory (AICT '15), in Recent Research in Applied Informatics, , In Proceedings of the 6th International Conference on Applied Informatics and Computing Theory (AICT '15), in Recent Research in Applied Informatics, , Salerno, 2015.pt_PT
dc.identifier.isbn978-1-61804-313-9
dc.identifier.otherAUT: FSE00957; MCO00732; CMR00726;
dc.identifier.urihttp://hdl.handle.net/10400.1/6904
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherUniversidade de Salernopt_PT
dc.subjectGuest reputation indexpt_PT
dc.subjectHospitalitypt_PT
dc.subjectOnline travel agencypt_PT
dc.subjectPositioning of hotelspt_PT
dc.subjectOnline reputationpt_PT
dc.subjectSentiment analysispt_PT
dc.subjectWord cloudpt_PT
dc.titleGuest reputation indexes to analyze hotel’s online reputation using data extracted from OTAspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSalernopt_PT
oaire.citation.endPage59pt_PT
oaire.citation.startPage50pt_PT
oaire.citation.titleRecent Researches in Applied Informaticspt_PT
person.familyNameCorreia
person.familyNameRamos
person.familyNameSerra
person.givenNameMarisol B.
person.givenNameCelia
person.givenNameFrancisco
person.identifier0000000428330706
person.identifier.ciencia-idFE15-819A-4535
person.identifier.ciencia-idB917-D015-C2EF
person.identifier.ciencia-id4D1C-9D66-8D99
person.identifier.orcid0000-0002-1788-6114
person.identifier.orcid0000-0002-3413-4897
person.identifier.orcid0000-0002-8461-5162
person.identifier.ridC-5119-2012
person.identifier.scopus-author-id55333058000
person.identifier.scopus-author-id35073165500
person.identifier.scopus-author-id56290841200
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationee01864e-dec4-4285-a4b7-4ccb53d9afaa
relation.isAuthorOfPublication08c1d098-29b0-4eaa-96f8-e03d66fcadb4
relation.isAuthorOfPublication22775c38-a6c8-4162-9ac0-c1941fbf693c
relation.isAuthorOfPublication.latestForDiscovery22775c38-a6c8-4162-9ac0-c1941fbf693c

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