Smartphone app usage analysis: datasets, methods, and applications

T Li, T **a, H Wang, Z Tu, S Tarkoma… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …

User profiling from their use of smartphone applications: A survey

S Zhao, S Li, J Ramos, Z Luo, Z Jiang, AK Dey… - Pervasive and Mobile …, 2019 - Elsevier
The number and popularity of smartphone applications is rising dramatically. Users install
and use applications depending on their needs and interests. Applications on smartphones …

Discovering different kinds of smartphone users through their application usage behaviors

S Zhao, J Ramos, J Tao, Z Jiang, S Li, Z Wu… - Proceedings of the …, 2016 - dl.acm.org
Understanding smartphone users is fundamental for creating better smartphones, and
improving the smartphone usage experience and generating generalizable and …

AppUsage2Vec: Modeling smartphone app usage for prediction

S Zhao, Z Luo, Z Jiang, H Wang, F Xu… - 2019 IEEE 35th …, 2019 - ieeexplore.ieee.org
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 …

[HTML][HTML] Parenting apps review: in search of good quality apps

A Virani, L Duffett-Leger, N Letourneau - Mhealth, 2019 - ncbi.nlm.nih.gov
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 …

[PDF][PDF] Post-GDPR Threat Hunting on Android Phones: Dissecting OS-level Safeguards of User-unresettable Identifiers.

MH Meng, Q Zhang, G **a, Y Zheng, Y Zhang, G Bai… - NDSS, 2023 - baigd.github.io
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 …

You are how you travel: A multi-task learning framework for geodemographic inference using transit smart card data

Y Zhang, NS Aslam, J Lai, T Cheng - Computers, Environment and Urban …, 2020 - Elsevier
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 …

You are how you use apps: user profiling based on spatiotemporal app usage behavior

T Li, Y Li, M Zhang, S Tarkoma, P Hui - ACM Transactions on Intelligent …, 2023 - dl.acm.org
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 …

Location inference for non-geotagged tweets in user timelines

P Li, H Lu, N Kanhabua, S Zhao… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

A deep learning approach to infer employment status of passengers by using smart card data

Y Zhang, T Cheng - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
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 …