DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorOtterbacher, Janna-
dc.contributor.authorKener, Andreas-
dc.date.accessioned2024-10-09T08:19:17Z-
dc.date.available2024-10-09T08:19:17Z-
dc.date.issued2019-07-05-
dc.identifierscopus-85069789256-
dc.identifier.issn2169-3536-
dc.identifier.other85069789256-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2796-
dc.description.abstractIn this paper, an innovative geographical locations' rating scheme is presented, which is based on crowdsensing and crowdsourcing. People sense their surrounding space and submit evaluations through: (a) a smartphone application, and (b) a prototype website. Both have been implemented using the state-of-the-art technologies. Evaluations are pairs of feeling/state and strength, where six different feelings/states and five strength levels are considered. In addition, the detection of similar locations is proposed by maximizing a cross-correlation criterion through a genetic algorithm approach. Technical details of the overall system are provided so that the interested readers can replicate its components. The experimental results on real-world data, which also include comparisons with Google Maps Rating and Tripadvisor, illustrate the merits and limitations of each technology. Finally, the paper is concluded by uncovering and discussing interesting issues for future research.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Accessen_US
dc.subjectCorrelation maximizationen_US
dc.subjectCrowdsensingen_US
dc.subjectCrowdsourcingen_US
dc.subjectFeelings'/states' evaluationen_US
dc.subjectGenetic algorithmen_US
dc.subjectGeographical locationen_US
dc.subjectRating schemeen_US
dc.subjectVolunteered Geographic Information (VGI)en_US
dc.titleFeelings' Rating and Detection of Similar Locations, Based on Volunteered Crowdsensing and Crowdsourcingen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ACCESS.2019.2926812en_US
dc.identifier.scopus2-s2.0-85069789256-
dcterms.accessRights1en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume7en_US
dc.identifier.spage90215en_US
dc.identifier.epage90229en_US
dc.linkhttps://api.elsevier.com/content/abstract/scopus_id/85069789256en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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