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 …

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 …

A variety of applications (App) installed on mobile systems such as smartphones enrich our
lives, but make it more difficult to the system management. For example, finding the specific …

In this paper, we introduce MP-GT, a novel Graph Neural Network model that leverages
meta-path-guided optimization within the GCN-Transformer framework to enhance …

App usage prediction, ie which apps will be used next, is very useful for smartphone system
optimization, such as operating system resource management, battery energy consumption …

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 …

As mobile phones become inseparable from daily activities and lifestyles, users generate a
large amount of app usage data. Such data contain patterns that could be useful for accurate …

The explosive increasing mobile Applications (Apps) have been attracting researchers and
developers to investigate user preferences on various mobile Apps. Understanding mobile …

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 …

Nowadays the explosion of smartphone Apps has created a fertile ground to study behavior
of mobile users. In this paper, we utilize network footprint data (NFP) which consists of DPI …