An overview of recommender systems in the internet of things

被引：51

作者：

Felfernig, Alexander ^{[1
]}

Polat-Erdeniz, Seda ^{[1
]}

Uran, Christoph ^{[1
]}

Reiterer, Stefan ^{[1
]}

Atas, Muesluem ^{[1
]}

Thi Ngoc Trang Tran ^{[1
]}

Azzoni, Paolo ^{[2
]}

Kiraly, Csaba ^{[3
]}

Dolui, Koustabh ^{[3
]}

机构：

[1] Inst Software Technol, Inffeldgasse 16B-2, A-8010 Graz, Austria

[2] Eurotech Grp, I-33020 Amaro, Italy

[3] FBK CREATE NET, Via Cascata 56-D, I-38123 Trento, Italy

来源：

JOURNAL OF INTELLIGENT INFORMATION SYSTEMS | 2019年 / 52卷 / 02期

关键词：

Recommender systems; Internet of things; IDENTIFICATION;

D O I：

10.1007/s10844-018-0530-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：285 / 309

页数：25

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