Abstract
Mobile phone can record various types of context data related to a user's phone call activities in its call log. Call log provides temporal context to modeling individual user's phone call response behavior, i.e., when a user accepts, rejects or misses an incoming call. In this paper, we explore the potentiality of phone call log as a context source to modeling call response behavior of individual mobile users. Towards this, we present our initial work to generating temporal rules that capture the user's dominant call response behavior at various times of the day and days of the week, utilizing phone call log. Our preliminary experimental results on real datasets show that context information in call log can be used to model individual's phone call response behavior with high accuracy.
Original language | English |
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Title of host publication | Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct |
Place of Publication | New York City, NY, United States |
Publisher | Association for Computing Machinery, Inc (ACM) |
Pages | 630-634 |
Number of pages | 5 |
ISBN (Electronic) | 9781450344623 |
DOIs | |
Publication status | Published - 12 Sep 2016 |
Event | 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 - Kongresshaus Stadthalle Heidelberg, Heidelberg, Germany Duration: 12 Sep 2016 → 16 Sep 2016 http://www.ubicomp.org/ubicomp2016/ |
Conference
Conference | 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 |
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Country/Territory | Germany |
City | Heidelberg |
Period | 12/09/16 → 16/09/16 |
Internet address |