Recommender Systems for the Internet of Things: A Survey
The University of New South Wales（新南威尔士大学）；University of Technology, Sydney（悉尼科技大学）；Macquarie University（麦考瑞大学）
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
