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dc.contributor.authorErman, Bilgehanen_US
dc.contributor.authorİnan, Alien_US
dc.contributor.authorNagarajan, Rameshen_US
dc.contributor.authorUzunalioğlu, Hüseyinen_US
dc.date.accessioned2015-01-15T23:01:52Z
dc.date.available2015-01-15T23:01:52Z
dc.date.issued2011-03
dc.identifier.citationErman, B., İnan, A., Nagarajan, R. & Uzunalioğlu, H. (2011). Mobile applications discovery: A subscriber‐centric approach. Bell Labs Technical Journal, 15(4), 135-148. doi:10.1002/bltj.20477en_US
dc.identifier.issn1089-7089
dc.identifier.issn1538-7305
dc.identifier.urihttps://hdl.handle.net/11729/420
dc.identifier.urihttp://dx.doi.org/10.1002/bltj.20477
dc.description.abstractRapid adoption of smartphones and the business success of the Apple App Store have resulted in the rampant growth of mobile applications. Seeking new revenue opportunities from application development has created a gold rush. However, free or very cheap applications constitute a great bulk of the application downloads putting great pricing pressure on the developers. Furthermore, usage statistics suggest that most of the applications have been either one-trick applications or are downright useless, meriting no attention from the user beyond the first day. This is not surprising since cheap prices will dissuade developers from investing large sums of money to continue to develop more sophisticated, high quality applications. Developers have been complaining about the lack of visibility of their applications in stores that are beginning to resemble a high volume warehouse. It is clear that enhancing application discovery and building better marketing tools will be essential for the continued success of the mobile application marketplace and application stores. This paper proposes and investigates techniques for effective discovery of applications by matching user interests with application characteristics, with a special focus on adapting classical data mining techniques to user ratings of the applications. The user ratings are leveraged to make recommendations on potential applications of interest.en_US
dc.language.isoengen_US
dc.publisherWiley Periodicalsen_US
dc.relation.isversionof10.1002/bltj.20477
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRecommender systemsen_US
dc.subjectTraffic congestionen_US
dc.subjectTraffic controlen_US
dc.subjectTraffic informationen_US
dc.subjectApplication developmenten_US
dc.subjectBusiness successen_US
dc.subjectData mining techniquesen_US
dc.subjectGold rushen_US
dc.subjectHigh qualityen_US
dc.subjectMarketing toolsen_US
dc.subjectMobile applicationsen_US
dc.subjectPotential applicationsen_US
dc.subjectSmartphonesen_US
dc.subjectUsage statisticsen_US
dc.subjectUser interestsen_US
dc.subjectUser ratingen_US
dc.subjectData miningen_US
dc.subjectEconomicsen_US
dc.subjectMobile telecommunication systemsen_US
dc.titleMobile applications discovery: a subscriber-centric approachen_US
dc.typearticleen_US
dc.description.versionPublisher's Versionen_US
dc.relation.journalBell Labs Technical Journalen_US
dc.contributor.departmentIşık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.contributor.departmentIşık University, Faculty of Engineering, Department of Computer Engineeringen_US
dc.contributor.authorID0000-0002-3149-1565
dc.identifier.volume15
dc.identifier.issue4
dc.identifier.startpage135
dc.identifier.endpage148
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorİnan, Alien_US
dc.relation.indexWOSen_US
dc.relation.indexScopusen_US
dc.relation.indexScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.description.qualityQ4
dc.description.wosidWOS:000287821900010


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