A Comprehensive Insight on Machine Learning Enabled Internet of Things Recommender Systems (IoTRS)
Partibha Ahlawat, Chhavi Rana · 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) · 2021
With the advancement in technologies, the opportunities for new integrated solutions are also unlocked. Internet of Things by connecting cyber and physical world introduce enormous paradigm change in computing and information technologies. Recommender system helps in filtering the data by taking care of inclinations of users to prevail the issues related to overdosing of IoT generated data. Machine learning techniques can be applied for producing intelligent recommendation by exploiting IoT-based dynamic, scalable and heterogeneous data. This paper reviews the machine learning techniques applied for generating personalized recommendation in IoT-based services and give the brief introduction of IoT recommender systems and machine learning techniques. Personalization and recommendations services in different application domains are enhanced by the incorporation of machine learning algorithms. In IoT recommendations machine learning also leaving their remarkable presence with integrating automaticity and dynamicity.