Context-aware rule learning from smartphone data: survey, challenges and future directions

IH Sarker - Journal of Big Data, 2019 - Springer
Smartphones are considered as one of the most essential and highly personal devices of
individuals in our current world. Due to the popularity of context-aware technology and …

Mining smartphone data for app usage prediction and recommendations: A survey

H Cao, M Lin - Pervasive and Mobile Computing, 2017 - Elsevier
Smartphones nowadays have become indispensable personal gadgets to support our
activities in almost every aspect of our lives. Thanks to the tremendous advancement of …

Context-aware recommender systems

G Adomavicius, A Tuzhilin - Recommender systems handbook, 2010 - Springer
The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce personalization, information …

Context-aware recommender systems: From foundations to recent developments

G Adomavicius, K Bauman, A Tuzhilin… - Recommender systems …, 2021 - Springer
The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce, personalization, information …

Mobile app recommendations with security and privacy awareness

H Zhu, H **ong, Y Ge, E Chen - Proceedings of the 20th ACM SIGKDD …, 2014 - dl.acm.org
With the rapid prevalence of smart mobile devices, the number of mobile Apps available has
exploded over the past few years. To facilitate the choice of mobile Apps, existing mobile …

A machine learning based robust prediction model for real-life mobile phone data

IH Sarker - Internet of Things, 2019 - Elsevier
Real-life mobile phone data may contain noisy instances, which is a fundamental issue for
building a prediction model with many potential negative consequences. The complexity of …

Protecting Trajectory From Semantic Attack Considering -Anonymity, -Diversity, and -Closeness

Z Tu, K Zhao, F Xu, Y Li, L Su… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Nowadays, human trajectories are widely collected and utilized for scientific research and
business purpose. However, publishing trajectory data without proper handling might cause …

A first look at gpt apps: Landscape and vulnerability

Z Zhang, L Zhang, X Yuan, A Zhang, M Xu… - arxiv preprint arxiv …, 2024 - arxiv.org
Following OpenAI's introduction of GPTs, a surge in GPT apps has led to the launch of
dedicated LLM app stores. Nevertheless, given its debut, there is a lack of sufficient …

Frappe: Understanding the usage and perception of mobile app recommendations in-the-wild

L Baltrunas, K Church, A Karatzoglou… - arxiv preprint arxiv …, 2015 - arxiv.org
This paper describes a real world deployment of a context-aware mobile app recommender
system (RS) called Frappe. Utilizing a hybrid-approach, we conducted a large-scale app …

Personalized mobile app recommendation: Reconciling app functionality and user privacy preference

B Liu, D Kong, L Cen, NZ Gong, H **… - Proceedings of the eighth …, 2015 - dl.acm.org
Recent years have witnessed a rapid adoption of mobile devices and a dramatic
proliferation of mobile applications (Apps for brevity). However, the large number of mobile …