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Towards adaptive and transparent tourism recommendations: A survey

2023-07-18Journal article Restricted access
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dc.contributor.authorLeal, Fátima
dc.contributor.authorVeloso, Bruno
dc.contributor.authorMalheiro, Benedita
dc.contributor.authorBurguillo, Juan C.
dc.date.accessioned2024-01-05T12:51:29Z
dc.date.available2024-01-05T12:51:29Z
dc.date.issued2023-07-18
dc.description.abstractCrowdsourced data streams are popular and extremely valuable in several domains, namely in tourism. Tourism crowdsourcing platforms rely on past tourist and business inputs to provide tailored recommendations to current users in real time. The continuous, open, dynamic and non-curated nature of the crowd-originated data demands specific stream mining techniques to support online profiling, recommendation, change detection and adaptation, explanation and evaluation. The sought techniques must, not only, continuously improve and adapt profiles and models; but must also be transparent, overcome biases, prioritize preferences, master huge data volumes and all in real time. This article surveys the state-of-art of adaptive and explainable stream recommendation, extends the taxonomy of explainable recommendations from the offline to the stream-based scenario, and identifies future research opportunities.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLeal, F., Veloso, B., Malheiro, B., & Burguillo, J. C. (2023). Towards adaptive and transparent tourism recommendations: A survey. Expert Systems, e13400. https://doi.org/10.1111/exsy.13400pt_PT
dc.identifier.doi10.1111/exsy.13400pt_PT
dc.identifier.issn0266-4720
dc.identifier.urihttp://hdl.handle.net/10400.22/24402
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relationUIDB/50014/2020pt_PT
dc.relationCentro singular de investigación de Galicia accreditation 2019–2022pt_PT
dc.relationERDFpt_PT
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/10.1111/exsy.13400pt_PT
dc.subjectAutoMLpt_PT
dc.subjectcrowdsourced datapt_PT
dc.subjectdata stream miningpt_PT
dc.subjectrecommendationpt_PT
dc.subjecttourismpt_PT
dc.subjecttransparencypt_PT
dc.titleTowards adaptive and transparent tourism recommendations: A surveypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceHoboken, New Jersey, USApt_PT
oaire.citation.endPage18pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleExpert Systemspt_PT
person.familyNameLeal
person.familyNameBENEDITA CAMPOS NEVES MALHEIRO
person.familyNameBurguillo Rial
person.givenNameFátima
person.givenNameMARIA
person.givenNameJuan Carlos
person.identifier.ciencia-id2211-3EC7-B4B6
person.identifier.ciencia-id7A15-08FC-4430
person.identifier.orcid0000-0003-4418-2590
person.identifier.orcid0000-0001-9083-4292
person.identifier.orcid0000-0001-9869-7448
person.identifier.ridY-3460-2019
person.identifier.ridE-9091-2016
person.identifier.scopus-author-id57190765181
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication8e77ca2d-3cb2-4346-927b-a706a5580c9e
relation.isAuthorOfPublicationbabd4fda-654a-4b59-952d-6113eebbb308
relation.isAuthorOfPublication8b2ea7d0-000e-4024-a0bf-89310239d975
relation.isAuthorOfPublication.latestForDiscovery8e77ca2d-3cb2-4346-927b-a706a5580c9e

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