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dc.contributor.authorPamboris, Andreasen
dc.contributor.authorAntoniou, Georgeen
dc.contributor.authorMakris, Constantinosen
dc.contributor.authorAndreou, Panayiotis G.en
dc.contributor.authorSamaras, George S.en
dc.creatorPamboris, Andreasen
dc.creatorAntoniou, Georgeen
dc.creatorMakris, Constantinosen
dc.creatorAndreou, Panayiotis G.en
dc.creatorSamaras, George S.en
dc.date.accessioned2019-11-13T10:41:37Z
dc.date.available2019-11-13T10:41:37Z
dc.date.issued2016
dc.identifier.isbn978-1-4503-4178-3
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54682
dc.description.abstractThe choice between two dominant monetization strategies for mobile apps, i.e. capitalising on revenue generated from either users or advertisers, is not a straightforward one. While users are initially attracted more to free (ad-supported) apps, paid (ad-free) apps are more likely to persist over time by avoiding the adverse implications of mobile advertising on device energy and network usage. This paper proposes a system that strikes a balance between the two extremes: AD-APT re-factors ad-supported apps automatically to adjust the frequency of mobile ad occurrences at runtime based on policies that consider the device's battery life, the type of network connectivity and limits on network usage. We evaluate AD-APT on ten popular ad-supported Android apps and show that it can yield reductions of up to 30 × in network usage caused by mobile ads and 40% in energy consumption. © 2016 ACM.en
dc.publisherAssociation for Computing Machinery, Incen
dc.sourceProceedings - International Conference on Mobile Software Engineering and Systems, MOBILESoft 2016en
dc.sourceIEEE/ACM International Conference on Mobile Software Engineering and Systems, MobileSoft 2016en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84983538484&doi=10.1145%2f2897073%3a2897090&partnerID=40&md5=00060032fd9916ca125f3e9cda3563bb
dc.subjectMarketingen
dc.subjectSoftware engineeringen
dc.subjectEnergy utilizationen
dc.subjectUser satisfactionen
dc.subjectAdaptive mobile advertisingen
dc.subjectAdvertising network overheaden
dc.subjectAdvertising networksen
dc.subjectMobile advertisingen
dc.subjectMobile appen
dc.subjectMobile app re-factoringen
dc.subjectNetwork connectivityen
dc.subjectNetwork usageen
dc.subjectTail energyen
dc.subjectYield reductionen
dc.titleAD-APT: Blurring the boundary between mobile advertising and user satisfactionen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1145/2897073:2897090
dc.description.startingpage175
dc.description.endingpage178
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: ACM Special Interest Group on Software Engineering (SIGSOFT)en
dc.description.notesIEEE Computer Society (IEEE-CS\DATC)en
dc.description.notesIEEE Computer Society's Tech. Council on Software Engin.en
dc.description.notesConference code: 122876en
dc.description.notesCited By :1</p>en
dc.contributor.orcidAndreou, Panayiotis G. [0000-0002-6369-1094]
dc.gnosis.orcid0000-0002-6369-1094


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