ATPP: A Mobile App Prediction System Based on Deep Marked Temporal Point Processes

K Yang, X Zhao, J Zou, W Du - ACM Transactions on Sensor Networks, 2023 - dl.acm.org
Predicting the next application (app) a user will open is essential for improving the user
experience, eg, app pre-loading and app recommendation. Unlike previous solutions that …

DeepApp: Predicting personalized smartphone app usage via context-aware multi-task learning

T Xia, Y Li, J Feng, D Jin, Q Zhang, H Luo… - ACM Transactions on …, 2020 - dl.acm.org
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 …

WhatsNextApp: LSTM-based next-app prediction with app usage sequences

K Katsarou, G Yu, F Beierle - IEEE Access, 2022 - ieeexplore.ieee.org
Next app prediction can help enhance user interface design, pre-loading of apps, and
network optimizations. Prior work has explored this topic, utilizing multiple different …

Semantic-aware spatio-temporal app usage representation via graph convolutional network

Y Yu, T Xia, H Wang, J Feng, Y Li - … of the ACM on Interactive, Mobile …, 2020 - dl.acm.org
Recent years have witnessed a rapid proliferation of personalized mobile Apps, which
poses a pressing need for user experience improvement. A promising solution is to model …

Hinextapp: A context-aware and adaptive framework for app prediction in mobile systems

D Liu, C Xiang, S Li, J Ren, R Liu, L Liang… - … Informatics and Systems, 2019 - Elsevier
A variety of applications (App) installed on mobile systems such as smartphones enrich our
lives, but make it more difficult to the system management. For example, finding the specific …

Next-app prediction by fusing semantic information with sequential behavior

C Fang, Y Wang, D Mu, Z Wu - IEEE Access, 2018 - ieeexplore.ieee.org
Next-app prediction is the task of predicting the next app that a user will choose to use on
the smartphone. It helps to establish a variety of intelligent personalized services, such as …

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] Predicting and recommending the next smartphone apps based on recurrent neural network

S Xu, W Li, X Zhang, S Gao, T Zhan, S Lu - CCF Transactions on …, 2020 - Springer
The popularity of smartphones has witnessed the rapid growth of the number of mobile
applications. Nowadays, there are millions of applications available, and at the same time …

DeepPatterns: Predicting Mobile Apps Usage from Spatio-Temporal and Contextual Features

B Suleiman, K Lu, HW Chan, MJ Alibasa - International Conference on …, 2021 - Springer
As mobile phones become inseparable from daily activities and lifestyles, users generate a
large amount of app usage data. Such data contain patterns that could be useful for accurate …

Deepapp: a deep reinforcement learning framework for mobile application usage prediction

Z Shen, K Yang, W Du, X Zhao, J Zou - Proceedings of the 17th …, 2019 - dl.acm.org
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 …