Smartphone app usage analysis: datasets, methods, and applications
As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …
users has increased dramatically over the last decade. These personal devices, which are …
User profiling from their use of smartphone applications: A survey
The number and popularity of smartphone applications is rising dramatically. Users install
and use applications depending on their needs and interests. Applications on smartphones …
and use applications depending on their needs and interests. Applications on smartphones …
Discovering different kinds of smartphone users through their application usage behaviors
Understanding smartphone users is fundamental for creating better smartphones, and
improving the smartphone usage experience and generating generalizable and …
improving the smartphone usage experience and generating generalizable and …
AppUsage2Vec: Modeling smartphone app usage for prediction
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 …
optimization, such as operating system resource management, battery energy consumption …
[HTML][HTML] Parenting apps review: in search of good quality apps
Background Parenting can be challenging, and in this digital age, first-time parents actively
access mobile applications or “apps” to adjust to their new roles. Apps are now …
access mobile applications or “apps” to adjust to their new roles. Apps are now …
[PDF][PDF] Post-GDPR Threat Hunting on Android Phones: Dissecting OS-level Safeguards of User-unresettable Identifiers.
Ever since its genesis, Android has enabled apps to access data and services on mobile
devices. This however involves a wide variety of user-unresettable identifiers (UUIs), eg, the …
devices. This however involves a wide variety of user-unresettable identifiers (UUIs), eg, the …
You are how you travel: A multi-task learning framework for geodemographic inference using transit smart card data
Geodemographics, providing the information of population's characteristics in the regions on
a geographical basis, is of immense importance in urban studies, public policy-making …
a geographical basis, is of immense importance in urban studies, public policy-making …
You are how you use apps: user profiling based on spatiotemporal app usage behavior
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 …
what apps to use and when and where to use them based on their tastes, interests, and …
Location inference for non-geotagged tweets in user timelines
Social media like Twitter have become globally popular in the past decade. Thanks to the
high penetration of smartphones, social media users are increasingly going mobile. This …
high penetration of smartphones, social media users are increasingly going mobile. This …
A deep learning approach to infer employment status of passengers by using smart card data
Understanding the employment status of passengers in public transit systems is significant
for transport operators in many real applications such as forecasting travel demand and …
for transport operators in many real applications such as forecasting travel demand and …