论文标题

物联网的推荐系统:调查

Recommender Systems for the Internet of Things: A Survey

论文作者

Altulyan, May, Yao, Lina, Wang, Xianzhi, Huang, Chaoran, Kanhere, Salil S, Sheng, Quan Z

论文摘要

建议代表着发展和促进物联网(IoT)的好处的至关重要阶段。传统的推荐系统无法利用不断增长,动态和异质的物联网数据。本文对最先进的推荐系统进行了全面的综述,以及在物联网充满活力领域的相关技术和应用。我们讨论将建议系统应用于物联网的几个局限性,并提出了一个参考框架,以比较现有研究以指导未来的研究和实践。

Recommendation represents a vital stage in developing and promoting the benefits of the Internet of Things (IoT). Traditional recommender systems fail to exploit ever-growing, dynamic, and heterogeneous IoT data. This paper presents a comprehensive review of the state-of-the-art recommender systems, as well as related techniques and application in the vibrant field of IoT. We discuss several limitations of applying recommendation systems to IoT and propose a reference framework for comparing existing studies to guide future research and practices.

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