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 …

The big data era enables automakers to mine users' affective (Kansei) requirements for the
car design. However, existing literature mostly applies text mining with users' online …

With the popularity of smart devices, application responsiveness is one of the most important
indicators of user experience, and forecast the next application will be used by users is …

This paper aims to predict the apps a user will open on her mobile device next. Such an
information is essential for many smartphone operations, eg, app pre-loading and content …

The number and popularity of smartphone applications is rising dramatically. Users install
and use applications depending on their needs and interests. Applications on smartphones …

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 …

User engagement is crucial to the long-term success of a mobile app. Several metrics, such
as dwell time, have been used for measuring user engagement. However, how to effectively …