Visible to the public A Framework for Cognitive Recommender Systems in the Internet of Things (IoT)

TitleA Framework for Cognitive Recommender Systems in the Internet of Things (IoT)
Publication TypeConference Paper
Year of Publication2017
AuthorsHamlAbadi, K. G., Saghiri, A. M., Vahdati, M., TakhtFooladi, M. Dehghan, Meybodi, M. R.
Conference Name2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI)
ISBN Number978-1-5386-2640-5
KeywordsCognitive radio, cognitive radio networks, cognitive recommender systems, cognitive system, cognitive systems, Engines, Human Behavior, human factors, information technology, Internet of Things, Internet of Things(IoT), IoT, Peer-to-peer computing, peer-to-peer networks, pubcrawl, recommender systems, resilience, Resiliency, Scalability, Sensors, Servers

Internet of Things (IoT) will be emerged over many of devices that are dynamically networked. Because of distributed and dynamic nature of IoT, designing a recommender system for them is a challenging problem. Recently, cognitive systems are used to design modern frameworks in different types of computer applications such as cognitive radio networks and cognitive peer-to-peer networks. A cognitive system can learn to improve its performance while operating under its unknown environment. In this paper, we propose a framework for cognitive recommender systems in IoT. To the best of our knowledge, there is no recommender system based on cognitive systems in the IoT. The proposed algorithm is compared with the existing recommender systems.

Citation Keyhamlabadi_framework_2017