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 …

As a tremendous number of mobile applications (apps) are readily available, users have
difficulty in identifying apps that are relevant to their interests. Recommender systems that …

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 dramatic growing of mobile application markets, users can find apps with any
function they desire in these markets. However, the huge amounts of apps make it quite a …

With the development of science and technology, the popularity of smart phones has made
exponential growth in mobile phone application market. How to help users to select …

Selecting and prioritizing major device models are critical for mobile app developers to
select testbeds and optimize resources such as marketing and quality-assurance resources …

With the rapid prevalence of smart mobile devices and the dramatic proliferation of mobile
applications (Apps), App recommendation becomes an emergent task that will benefit …

The recent evolution of mobile devices and services have resulted in such plethora of
mobile applications (apps) that users have difficulty finding the ones they wish to use in a …

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 …

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 …