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 …

Recent years have witnessed a rapid proliferation of personalized mobile Apps, which
poses a pressing need for user experience improvement. A promising solution is to model …

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 …

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

Mobile application usage prediction aims to infer the possible applications (Apps) that a user
will launch next. It is critical for many applications, eg, system optimization and smartphone …

Aiming to represent user characteristics and personal interests, the task of user profiling is
playing an increasingly important role for many real-world applications, eg, e-commerce and …

In recent years, mobile applications (apps) on smartphones have shown explosive growth.
Massive and diversified apps greatly affect user experience. As a result, user mobile app …

Predicting the next application (app) a user will open is essential for improving the user
experience, eg, app pre-loading and app recommendation. Unlike previous solutions that …

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 …

Predicting application usage is useful for offering personalized services, improving mobile
energy consumption, and mobile system resource management optimization. Currently …