Providing Customised Information Panel Content Based on User Behavioral Patterns

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dc.contributor.authorPisarovic, Ivo
dc.contributor.authorProchazka, David
dc.contributor.authorVybiral, Dan
dc.contributor.authorProchazkova, Jana
dc.coverage.issue1cs
dc.coverage.volume24cs
dc.date.accessioned2019-06-26T10:18:37Z
dc.date.available2019-06-26T10:18:37Z
dc.date.issued2018-06-01cs
dc.description.abstractAlthough mobile applications are commonly using user location and behavior to provide relevant content, public information panels usually lack the ability to adjust the content for a particular user or a group of users. Therefore, we focused on the development of information panels that are able, in combination with a mobile application, to collect anonymous location data about the users, identify key behavioral patterns and provide content that is relevant for the users in the panel vicinity. The key property of our solution is the anonymity of the collected information and privacy in general. The proposed algorithm consists of the data clustering and subsequent analysis. Described solution can be used in any public building or campus that the users visit regularly.en
dc.formattextcs
dc.format.extent173-180cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMendel. 2018 vol. 24, č. 1, s. 173-180. ISSN 1803-3814cs
dc.identifier.doi10.13164/mendel.2018.1.173en
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttp://hdl.handle.net/11012/179240
dc.language.isoencs
dc.publisherInstitute of Automation and Computer Science, Brno University of Technologycs
dc.relation.ispartofMendelcs
dc.relation.urihttps://mendel-journal.org/index.php/mendel/article/view/39cs
dc.rights.accessopenAccessen
dc.subjectpattern recognitionen
dc.subjectclusteringen
dc.subjectlocation based serviceen
dc.subjectuser experienceen
dc.subjectuser interfaceen
dc.titleProviding Customised Information Panel Content Based on User Behavioral Patternsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
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