Abstract
The Internet Of Things (IoT) is an emerging paradigm that envisions a networked infrastructure enabling different types of devices to be interconnected. It creates different kinds of artifacts (e.g., services and applications) in various application domains such as health monitoring, sports monitoring, animal monitoring, enhanced retail services, and smart homes. Recommendation technologies can help to more easily identify relevant artifacts and thus will become one of the key technologies in future IoT solutions. In this article, we provide an overview of existing applications of recommendation technologies in the IoT context and present new recommendation techniques on the basis of real-world IoT scenarios.
Highlights
As an emerging paradigm, the Internet Of Things (IoT) (Atzori et al 2010; Greengard 2015) represents a networked infrastructure connecting different types of devices in any place and anytime
In the AGILE Project,6 we have developed new recommendation approaches which are especially useful in IoT scenarios
We have provided an overview of existing recommendation approaches besides our proposed recommendation techniques in the Internet of Things (IoT) domain
Summary
The Internet Of Things (IoT) (Atzori et al 2010; Greengard 2015) represents a networked infrastructure connecting different types of devices in any place and anytime. IoT-based retail services are developed to support a personalized shopping experience in physical stores In this context, recommender algorithms help to determine which offers should be recommended to a customer when, where, and in which format. In the AGILE Project, we have developed new recommendation approaches which are especially useful in IoT scenarios. The goal of this article is to show how recommenders can be applied in IoT scenarios and to propose new recommendation approaches for the IoT domain. In this context, we provide an overview of existing applications of recommendation technologies in the IoT.
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