Towards incorporating context awareness to recommender systems in internet of things

Abstract

Technological innovation in communication and embedded systems has led to a new paradigm called Internet of Things (IoT). Context in association with the things in IoT plays a crucial role in effective data communication and processing. Contextual information if integrated with recommender systems (RS) can recommend more appropriate things to users. In this paper, context-aware recommender system (CARS) from an IoT perspective has been explored and its various aspects have been considered in detail. In addition, correlation between context and IoT as well as perquisite of making context-aware recommendations in IoT has been discussed. Moreover, the context flow depicting the movement of context in context-aware systems and an application scenario has been delineated. Finally, the paper concludes with highlighting various challenges and open issues in CARS.