Latest trends of security and privacy in recommender systems: a comprehensive review and future perspectives

Y Himeur, SS Sohail, F Bensaali, A Amira… - Computers & Security, 2022 - Elsevier
With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …

[HTML][HTML] How do context-aware artificial intelligence algorithms used in fitness recommender systems? A literature review and research agenda

P Venkatachalam, S Ray - International Journal of Information Management …, 2022 - Elsevier
Recommender Systems (RS) help the user in the decision-making process when there is a
problem of plenty or lack of information. The context-aware recommender systems (CARS) …

A survey on trustworthy recommender systems

Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y **an… - ACM Transactions on …, 2024 - dl.acm.org
Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …

Wearable activity trackers: A survey on utility, privacy, and security

K Salehzadeh Niksirat, L Velykoivanenko… - ACM Computing …, 2024 - dl.acm.org
Over the past decade, wearable activity trackers (WATs) have become increasingly popular.
However, despite many research studies in different fields (eg psychology, health, and …

[PDF][PDF] Privacy and the Internet of Things.

HR Lipford, M Tabassum, P Bahirat, Y Yao… - Modern Socio …, 2022 - library.oapen.org
Using networks of Internet-connected sensors, the Internet of Things (IoT) makes
technologies “smart” by enabling automation, personalization, and remote control. At the …

Prediction of mobile app privacy preferences with user profiles via federated learning

A Brandão, R Mendes, JP Vilela - … of the Twelfth ACM Conference on …, 2022 - dl.acm.org
Permission managers in mobile devices allow users to control permissions requests, by
granting of denying application's access to data and sensors. However, existing managers …

The effectiveness of adaptation methods in improving user engagement and privacy protection on social network sites

M Namara, H Sloan… - Proceedings on Privacy …, 2022 - petsymposium.org
Research finds that the users of Social Networking Sites (SNSs) often fail to
comprehensively engage with the plethora of available privacy features—arguably due to …

When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification

Z Liang, J Guo, W Qiu, Z Huang, S Li - Data Mining and Knowledge …, 2024 - Springer
With the rise of Web 2.0 platforms such as online social media, people's private information,
such as their location, occupation and even family information, is often inadvertently …

In2P-Med: toward the individual privacy preferences identity in the medical web apps

HX Son, KNH Tuan, LCP Van, PT Nguyen… - … Conference on Web …, 2023 - Springer
With the advancement of technology, people are now able to monitor their health more
efficiently. Mobile phones and smartwatches are equipped with sensors that can measure …

Enhancing user privacy in mobile devices through prediction of privacy preferences

R Mendes, M Cunha, JP Vilela… - European Symposium on …, 2022 - Springer
The multitude of applications and security configurations of mobile devices requires
automated approaches for effective user privacy protection. Current permission managers …