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2018 | OriginalPaper | Chapter

Towards Incorporating Context Awareness to Recommender Systems in Internet of Things

Authors : Pratibha, Pankaj Deep Kaur

Published in: Proceedings of First International Conference on Smart System, Innovations and Computing

Publisher: Springer Singapore

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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.

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Metadata
Title
Towards Incorporating Context Awareness to Recommender Systems in Internet of Things
Authors
Pratibha
Pankaj Deep Kaur
Copyright Year
2018
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-5828-8_73

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