Context-aware mobile application (App) usage prediction benefits a variety of applications
such as precise bandwidth allocation, App launch acceleration, etc. Prior works have …

In this paper we present the first population-level, city-scale analysis of application usage on
smartphones. Using deep packet inspection at the network operator level, we obtained a …

Smartphone mobile application (App) usage prediction, ie, which Apps will be used next, is
beneficial for user experience improvement. Through an in-depth analysis on a real-world …

Reliable smartphone app prediction can strongly benefit both users and phone system
performance alike. However, real-world smartphone app usage behavior is a complex …

Mobile apps have become an indispensable part of people's daily lives. Users determine
what apps to use and when and where to use them based on their tastes, interests, and …

This paper aims to predict the apps a user will open on her mobile device next. Such an
information is essential for many smartphone operations, eg, app pre-loading and content …

As the mobile applications become increasing popular, people are installing more and more
Apps on their smart phones. In this paper, we answer the question whether it is feasible to …

In recent years, predicting mobile app usage has become increasingly important for areas
like app recommendation, user behaviour analysis, and mobile resource management …

The diversity of personal interest and preference of mobile users results in a wide spectrum
of mobile app usage, and it is important to predict such app preference in order to provide …

Next mobile app recommendation aims to recommend the next app that a user is most likely
to use based on the user's app usage behaviors, which is beneficial for improving user …