An Overview of Recommender Systems in the Internet of Things

Alexander Felfernig; Seda Polat Erdeniz; Christoph Uran; Stefan Reiterer; Müslüm Atas; Thi Ngoc Trang Tran; Paolo Azzoni; Csaba Kiraly; Koustabh Dolui

doi:10.1007/s10844-018-0530-7

An Overview of Recommender Systems in the Internet of Things

Alexander Felfernig, Seda Polat Erdeniz, Christoph Uran, Stefan Reiterer, Müslüm Atas, Thi Ngoc Trang Tran, Paolo Azzoni, Csaba Kiraly, Koustabh Dolui

Institute of Software Technology (7160)

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	285-309
Number of pages	25
Journal	Journal of Intelligent Information Systems
Volume	52
Early online date	2018
DOIs	https://doi.org/10.1007/s10844-018-0530-7 https://doi.org/10.1007/s10844-018-0530-7
Publication status	Published - 15 Apr 2019

Keywords

recommender systems
internet of things

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AU - Reiterer, Stefan

AU - Atas, Müslüm

AU - Tran, Thi Ngoc Trang

AU - Azzoni, Paolo

AU - Kiraly, Csaba

AU - Dolui, Koustabh

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JO - Journal of Intelligent Information Systems

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ER -

An Overview of Recommender Systems in the Internet of Things

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Keywords

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