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 …

Advances in smartphone technology have promoted the rapid development of mobile apps.
However, the availability of a huge number of mobile apps in application stores has imposed …

The large volume and variety of apps pose a great challenge for people to choose
appropriate apps. As a consequence, app recommendation is becoming increasingly …

With the advances in smartphones users install abundant apps to facilitate their daily lives.
Both users and related developers have increasing requirements to understand the mobile …

Recent years have witnessed the rapid adoption of mobile devices and significant growth in
the use of mobile apps. However, the large number of mobile apps makes it difficult for users …

With the popularity of smartphones, mobile applications (mobile apps) have become a
necessity in people's lives and work. Massive apps provide users with a variety of choices …

With the rapid development of mobile app ecosystem, mobile apps have grown greatly
popular. The explosive growth of apps makes it difficult for users to find apps that meet their …

With the great popularity of mobile devices, the amount of mobile apps has grown at a more
dramatic rate than ever expected. A technical challenge is how to recommend suitable apps …

The rapid development of mobile Internet has spawned various mobile applications (apps).
A large number of apps make it difficult for users to choose apps conveniently, causing the …

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 …