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An Analysis of the Transitions between Mobile Application Usages based on Markov Chains [r-libre/269]

Gouin-Vallerand, Charles et Mezghani, Neila (2014). An Analysis of the Transitions between Mobile Application Usages based on Markov Chains. Dans Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp'14) (p. 373-378). New York, NY, USA : ACM. https://doi.org/10.1145/2638728.2641700

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[img]  PDF - GouinVallerand&Mezghani-2014.pdf  
Catégorie de document : Communications dans des actes de congrès/colloques
Évaluation par un comité de lecture : Oui
Étape de publication : Publié
Résumé : By knowing more the usage of mobile application on smart phone, it is possible to predict which applications will be used next. This kind of information is particularly interesting from a recommendation system point of view. In this paper, we present an analysis of the transitions between application usages on the data collected by the University of Cambridge’s Device Analyzer project. Among other results, we conclude that the transition probabilities between application usages are distinct information from the probabilities of usage based on periods of time, such as application launches in a same hour and in a same day.
Adresse de la version officielle : http://dl.acm.org/citation.cfm?id=2641700
Déposant: Gouin-Vallerand, Charles
Responsable : Charles Gouin-Vallerand
Dépôt : 05 sept. 2014 13:07
Dernière modification : 16 juill. 2015 00:46

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