dc.contributor.author | Pamboris, Andreas | en |
dc.contributor.author | Antoniou, George | en |
dc.contributor.author | Makris, Constantinos | en |
dc.contributor.author | Andreou, Panayiotis G. | en |
dc.contributor.author | Samaras, George S. | en |
dc.creator | Pamboris, Andreas | en |
dc.creator | Antoniou, George | en |
dc.creator | Makris, Constantinos | en |
dc.creator | Andreou, Panayiotis G. | en |
dc.creator | Samaras, George S. | en |
dc.date.accessioned | 2019-11-13T10:41:37Z | |
dc.date.available | 2019-11-13T10:41:37Z | |
dc.date.issued | 2016 | |
dc.identifier.isbn | 978-1-4503-4178-3 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54682 | |
dc.description.abstract | The 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.publisher | Association for Computing Machinery, Inc | en |
dc.source | Proceedings - International Conference on Mobile Software Engineering and Systems, MOBILESoft 2016 | en |
dc.source | IEEE/ACM International Conference on Mobile Software Engineering and Systems, MobileSoft 2016 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983538484&doi=10.1145%2f2897073%3a2897090&partnerID=40&md5=00060032fd9916ca125f3e9cda3563bb | |
dc.subject | Marketing | en |
dc.subject | Software engineering | en |
dc.subject | Energy utilization | en |
dc.subject | User satisfaction | en |
dc.subject | Adaptive mobile advertising | en |
dc.subject | Advertising network overhead | en |
dc.subject | Advertising networks | en |
dc.subject | Mobile advertising | en |
dc.subject | Mobile app | en |
dc.subject | Mobile app re-factoring | en |
dc.subject | Network connectivity | en |
dc.subject | Network usage | en |
dc.subject | Tail energy | en |
dc.subject | Yield reduction | en |
dc.title | AD-APT: Blurring the boundary between mobile advertising and user satisfaction | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1145/2897073:2897090 | |
dc.description.startingpage | 175 | |
dc.description.endingpage | 178 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: ACM Special Interest Group on Software Engineering (SIGSOFT) | en |
dc.description.notes | IEEE Computer Society (IEEE-CS\DATC) | en |
dc.description.notes | IEEE Computer Society's Tech. Council on Software Engin. | en |
dc.description.notes | Conference code: 122876 | en |
dc.description.notes | Cited By :1</p> | en |
dc.contributor.orcid | Andreou, Panayiotis G. [0000-0002-6369-1094] | |
dc.gnosis.orcid | 0000-0002-6369-1094 | |