An Era of Recommendation Technologies in IoT: Categorisation by techniques, Challenges and Future Scope

Abstract

The evolution of the Internet of Things (IoT) accelerates the augmentation of data present on the Internet and possibilities for connections to the more dynamic and heterogeneous devices to the Internet. Recommendation technologies have proven their capabilities of digging the personalised information by proactive filtering in many application domains and can also be a backbone platform in IoT for identifying personalised things, services and relevant artefacts by prevailing over information overload problems. This paper is a comprehensive literature review that categorises IoT recommender systems by exploring the literature’s different IoT based recommendation techniques. We conclude the paper by discussing the challenges and future scope for IoT based recommendations techniques to advancing and widening the frontiers of this research area.

Defining and Researching “Dynamic Systems of Systems”

“…However, access to context information with sufficient quality is often the bottleneck when it comes to realizing autonomous control. For instance, it is even challenging to obtain high-precision indoor positioning [68], due to the accumulation of adequate data, context factor discovery, and filtering of contextual information [69]. Another challenge is the design of autonomous control because it is difficult to identify which of all the available contextual information is relevant for a certain task of interest, or how the individual contextual factors can be combined to describe a context-aware behavior [70].…”

Trusted Knowledge Infusion Model-based Recommender System for IoT based B2B applications

“…Conventional or traditional RS has been implemented using data which is related to users (customers) and items but the IoT RS also includes sensor-based real time data and diverse relations among users and things [4] Recently, the differences between traditional RS and IoT RS and different techniques developed for IoT RS are discussed by Ahlawat and Rana [5]. IoT RS are utilized in many application areas like smart-mobile health, smart city, smart home, smart marketing, banking, agriculture, industries, transportation, and smart tourism.…”