[HTML][HTML] Blockchain-based recommender systems: Applications, challenges and future opportunities
Recommender systems have been widely used in different application domains including
energy-preservation, e-commerce, healthcare, social media, etc. Such applications require …
energy-preservation, e-commerce, healthcare, social media, etc. Such applications require …
Latest trends of security and privacy in recommender systems: a comprehensive review and future perspectives
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 …
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …
Context-aware recommender system: A review of recent developmental process and future research direction
Intelligent data handling techniques are beneficial for users; to store, process, analyze and
access the vast amount of information produced by electronic and automated devices. The …
access the vast amount of information produced by electronic and automated devices. The …
Similarity-maintaining privacy preservation and location-aware low-rank matrix factorization for QoS prediction based web service recommendation
Web service recommendation plays an important role in building service-oriented systems.
QoS-based Web service recommendation has recently gained much attention for providing …
QoS-based Web service recommendation has recently gained much attention for providing …
A privacy-preserving protocol for continuous and dynamic data collection in IoT enabled mobile app recommendation system (MARS)
User trust is an important factor in the success of recommendation systems, including
Internet of Things (IoT)-based recommendation systems. However, such trust can be eroded …
Internet of Things (IoT)-based recommendation systems. However, such trust can be eroded …
Consumer privacy in smartphones: a systematic literature review
Purpose This study aims to provide a systematic review of consumer privacy literature in the
context of smartphones and undertake a comprehensive analysis of academic research on …
context of smartphones and undertake a comprehensive analysis of academic research on …
Mobile recommender systems: Identifying the major concepts
E Pimenidis, N Polatidis… - Journal of Information …, 2019 - journals.sagepub.com
This article identifies the factors that have an impact on mobile recommender systems.
Recommender systems have become a technology that has been widely used by various …
Recommender systems have become a technology that has been widely used by various …
Competitive gamification in crowdsourcing-based contextual-aware recommender systems
YL Lin, ND Ding - International Journal of Human-Computer Studies, 2023 - Elsevier
During the COVID-19 outbreak, crowdsourcing-based context-aware recommender systems
(CARS) which capture the real-time context in a contactless manner played an important …
(CARS) which capture the real-time context in a contactless manner played an important …
[HTML][HTML] AI alignment: Assessing the global impact of recommender systems
L Bojic - Futures, 2024 - Elsevier
The recent growing concerns surrounding the pervasive adoption of generative AI can be
traced back to the long-standing influence of AI algorithms that have predominantly served …
traced back to the long-standing influence of AI algorithms that have predominantly served …
Context-aware recommendations using mobile P2P
M del Carmen Rodríguez-Hernández, S Ilarri… - Proceedings of the 15th …, 2017 - dl.acm.org
In recent years, there has been an increasing research attention towards Context-Aware
Recommender Systems (CARS) for mobile users. The main motivation is that, by …
Recommender Systems (CARS) for mobile users. The main motivation is that, by …