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 …

Personalized advertising computational techniques: A systematic literature review, findings, and a design framework

I Viktoratos, A Tsadiras - Information, 2021 - mdpi.com
This work conducts a systematic literature review about the domain of personalized
advertisement, and more specifically, about the techniques that are used for this purpose …

A machine learning approach for solving the frozen user cold-start problem in personalized mobile advertising systems

I Viktoratos, A Tsadiras - Algorithms, 2022 - mdpi.com
A domain that has gained popularity in the past few years is personalized advertisement.
Researchers and developers collect user contextual attributes (eg, location, time, history …

Where did my 256 gb go? a measurement analysis of storage consumption on smart mobile devices

A Bijlani, U Ramachandran, R Campbell - Proceedings of the ACM on …, 2021 - dl.acm.org
This work presents the first-ever detailed and large-scale measurement analysis of storage
consumption behavior of applications (apps) on smart mobile devices. We start by carrying …

(m) ad to see me? intelligent advertisement placement: Balancing user annoyance and advertising effectiveness

NT Nguyen, A Zuniga, H Lee, P Hui, H Flores… - Proceedings of the …, 2020 - dl.acm.org
Advertising is an unavoidable albeit a frustrating part of mobile interactions. Due to limited
form factor, mobile advertisements often resort to intrusive strategies where they temporarily …

Capitalizing on the promise of ad prefetching in real-world mobile systems

Y Wang, Y Li, T Lan - … Conference on Mobile Ad Hoc and …, 2017 - ieeexplore.ieee.org
In cellular networks, tail states are designed for a tradeoff between energy efficiency and
latency. However, the energy consumed during tail states becomes a huge energy drainer …

Click sequence prediction in Android mobile applications

S Lee, R Ha, H Cha - IEEE Transactions on Human-Machine …, 2018 - ieeexplore.ieee.org
Predicting a click sequence in mobile applications improves the user experience in various
ways. By predicting which button will be clicked next, one can predict how the application …

[LIBRO][B] Temporality of Political Content Exposure via Smartphone Screens: A Computational Description of Rapidity and Idiosyncrasy

DL Muise - 2022 - search.proquest.com
This dissertation provides a computational description of the rapid and idiosyncratic nature
of exposure to political content in the smartphone environment, in order to critically address …

Identification, Impacts, and Opportunities of Three Common Measurement Considerations when using Digital Trace Data

D Muise, N Ram, T Robinson, B Reeves - arxiv preprint arxiv:2310.00197, 2023 - arxiv.org
Cataloguing specific URLs, posts, and applications with digital traces is the new best
practice for measuring media use and content consumption. Despite the apparent accuracy …

Mobile application usage concentration in a multidevice world

B Finley, T Soikkeli, K Kilkki - International Conference on Wireless …, 2016 - scitepress.org
Mobile applications are a ubiquitous part of modern mobile devices. However the
concentration of mobile application usage has been primarily studied only in the …