Multi-store metadata-based supervised mobile app classification

Giacomo Berardi, Andrea Esuli, Tiziano Fagni, Fabrizio Sebastiani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

The mass adoption of smartphone and tablet devices has boosted the growth of the mobile applications market. Confronted with a huge number of choices, users may encounter difficulties in locating the applications that meet their needs. Sorting applications into a user-defined classification scheme would help the app discovery process. Systems for automatically classifying apps into such a classification scheme are thus sorely needed. Methods for automated app classification have been proposed that rely on tracking how the app is actually used on users' mobile devices; however, this approach can lead to privacy issues. We present a system for classifying mobile apps into user-defined classification schemes which instead leverages information publicly available from the online stores where the apps are marketed. We present experimental results obtained on a dataset of 5,993 apps manually classified under a classification scheme consisting of 50 classes. Our results indicate that automated app classification can be performed with good accuracy, at the same time preserving users' privacy. Copyright is held by the owner/author(s).

Original languageEnglish
Title of host publicationProceedings of the ACM Symposium on Applied Computing
PublisherAssociation for Computing Machinery
Pages585-588
Number of pages4
Volume13-17-April-2015
ISBN (Print)9781450331968
DOIs
Publication statusPublished - 13 Apr 2015
Event30th Annual ACM Symposium on Applied Computing, SAC 2015 - Salamanca, Spain
Duration: 13 Apr 201517 Apr 2015

Other

Other30th Annual ACM Symposium on Applied Computing, SAC 2015
CountrySpain
CitySalamanca
Period13/4/1517/4/15

Fingerprint

Metadata
Application programs
Smartphones
Sorting
Mobile devices
Computer systems

ASJC Scopus subject areas

  • Software

Cite this

Berardi, G., Esuli, A., Fagni, T., & Sebastiani, F. (2015). Multi-store metadata-based supervised mobile app classification. In Proceedings of the ACM Symposium on Applied Computing (Vol. 13-17-April-2015, pp. 585-588). Association for Computing Machinery. https://doi.org/10.1145/2695664.2695997

Multi-store metadata-based supervised mobile app classification. / Berardi, Giacomo; Esuli, Andrea; Fagni, Tiziano; Sebastiani, Fabrizio.

Proceedings of the ACM Symposium on Applied Computing. Vol. 13-17-April-2015 Association for Computing Machinery, 2015. p. 585-588.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Berardi, G, Esuli, A, Fagni, T & Sebastiani, F 2015, Multi-store metadata-based supervised mobile app classification. in Proceedings of the ACM Symposium on Applied Computing. vol. 13-17-April-2015, Association for Computing Machinery, pp. 585-588, 30th Annual ACM Symposium on Applied Computing, SAC 2015, Salamanca, Spain, 13/4/15. https://doi.org/10.1145/2695664.2695997
Berardi G, Esuli A, Fagni T, Sebastiani F. Multi-store metadata-based supervised mobile app classification. In Proceedings of the ACM Symposium on Applied Computing. Vol. 13-17-April-2015. Association for Computing Machinery. 2015. p. 585-588 https://doi.org/10.1145/2695664.2695997
Berardi, Giacomo ; Esuli, Andrea ; Fagni, Tiziano ; Sebastiani, Fabrizio. / Multi-store metadata-based supervised mobile app classification. Proceedings of the ACM Symposium on Applied Computing. Vol. 13-17-April-2015 Association for Computing Machinery, 2015. pp. 585-588
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