A large-scale analysis of the use of session in a mobile application

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dc.contributor.authorMARCZAL, D.
dc.contributor.authorPlinio Thomaz Aquino Junior
dc.contributor.authorOrcidhttps://orcid.org/0000-0002-5100-7443
dc.date.accessioned2022-01-12T21:58:51Z
dc.date.available2022-01-12T21:58:51Z
dc.date.issued2016-10-04
dc.description.abstract© 2016 ACM.Due to the recent proliferation of mobile applications, it has become essential to obtain a better understanding of how people use their devices and applications. The session usage contains the user behavior therefore, the present study aims to analyze which are the most representative session groups in the context of an application that is part of a taxi request platform by the means of an experiment performed in the application made available at application stores and used by real users, performing daily tasks.
dc.description.volumePart F128046
dc.identifier.citationMARCZAL, D.; AQUINO, P. T. A large-scale analysis of the use of session in a mobile application. ACM International Conference Proceeding Series, v. Part F128046, Oct. 2016.
dc.identifier.doi10.1145/3033701.3033735
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3890
dc.relation.ispartofACM International Conference Proceeding Series
dc.rightsAcesso Restrito
dc.subject.otherlanguageData mobility
dc.subject.otherlanguageLarge-scale
dc.subject.otherlanguageMobile application
dc.subject.otherlanguageSession variable
dc.subject.otherlanguageUser behavior
dc.subject.otherlanguageUser profile
dc.titleA large-scale analysis of the use of session in a mobile application
dc.typeArtigo de evento
fei.scopus.citations1
fei.scopus.eid2-s2.0-85021646764
fei.scopus.subjectLarge-scale
fei.scopus.subjectMobile applications
fei.scopus.subjectSession variable
fei.scopus.subjectUser behaviors
fei.scopus.subjectUser profile
fei.scopus.updated2025-01-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85021646764&origin=inward
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