An analysis of the transitions between mobile application usages based on markov chains

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