ACM HotMobile 2013 poster: extraction algorithm of relationship between smartphone applications for recommendation

Authors:
Kohei Terazono;Akira Karasudani;Satoshi Iwata;Tatsuro Matsumoto
Affiliations:
HUMAN CENTRIC COMPUTING LABORATORIES, FUJITSU LABORATORIES LTD.;HUMAN CENTRIC COMPUTING LABORATORIES, FUJITSU LABORATORIES LTD.;HUMAN CENTRIC COMPUTING LABORATORIES, FUJITSU LABORATORIES LTD.;HUMAN CENTRIC COMPUTING LABORATORIES, FUJITSU LABORATORIES LTD.
Venue:
ACM SIGMOBILE Mobile Computing and Communications Review
Year:
2013

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Identifying diverse usage behaviors of smartphone apps

Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference

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Abstract

Users employing smartphones typically combine multiple applications to perform their tasks. It would be possible to be recommended the appropriate applications by acquiring the contexts of users who perform such tasks. And the contexts are composed by the relationship of applications used in the tasks. We present an algorithm that extracts the relationship between applications that the user intentionally uses in combination. At the end of the paper, we report the results of verification tests conducted on this algorithm.