App Store Analysis studies information about applications obtained from app stores. App
stores provide a wealth of information derived from users that would not exist had the …

Smartphones nowadays have become indispensable personal gadgets to support our
activities in almost every aspect of our lives. Thanks to the tremendous advancement of …

The problem of point of interest (POI) recommendation is to provide personalized
recommendations of places of interests, such as restaurants, for mobile users. Due to its …

Given the large number of installed apps and the limited screen size of mobile devices, it is
often tedious for users to search for the app they want to use. Although some mobile OSs …

Recent years have witnessed a rapid adoption of mobile devices and a dramatic
proliferation of mobile applications (Apps for brevity). However, the large number of mobile …

Over the last decade, the renaissance of Web technologies has transformed the online world
into an application (App) driven society. While the abundant Apps have provided great …

Fostered by the growing popularity of smartphones and other mobile devices, mobile apps
are playing an increasingly important role in people's lives, partly due to their ease of use …

With the popularity of smart phones and mobile devices, the number of mobile applications
(aka" apps") has been growing rapidly. Detecting semantically similar apps from a large pool …

Traditional recommendation approaches for the mobile Apps basically depend on the Apps
related features. Now a days many users are in quench of Apps recommendation based on …

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