Recommendations on the Internet of Things: Requirements, Challenges, and Directions

Yao, L; Wang, X; Sheng, QZ; Dustdar, S; Zhang, S

Recommendations on the Internet of Things: Requirements, Challenges, and Directions

Yao, L Wang, X

Sheng, QZ Dustdar, S Zhang, S

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Publication Type:: Journal Article
Citation:: IEEE Internet Computing, 2019, 23 (3), pp. 46 - 54
Issue Date:: 2019-05-01

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Field	Value	Language
dc.contributor.author	Yao, L	en_US
dc.contributor.author	Wang, X https://orcid.org/0000-0001-9582-3445	en_US
dc.contributor.author	Sheng, QZ	en_US
dc.contributor.author	Dustdar, S	en_US
dc.contributor.author	Zhang, S	en_US
dc.date.available	2021-05-18T19:02:00Z
dc.date.issued	2019-05-01	en_US
dc.identifier.citation	IEEE Internet Computing, 2019, 23 (3), pp. 46 - 54	en_US
dc.identifier.issn	1089-7801	en_US
dc.identifier.uri	http://hdl.handle.net/10453/134678
dc.description.abstract	© 1997-2012 IEEE. The Internet of Things (IoT) is accelerating the growth of data available on the Internet, which makes the traditional search paradigms incapable of digging the information that people need from massive and deep resources. Furthermore, given the dynamic nature of organizations, social structures, and devices involved in IoT environments, intelligent and automated approaches become critical to support decision makers with the knowledge derived from the vast amount of information available through IoT networks. Indeed, IoT is more desirable of an effective and efficient paradigm of proactive discovering rather than postactive searching. This paper discusses some of the important requirements and key challenges to enable effective and efficient thing-of-interest recommendation and provides an array of new perspectives on IoT recommendation.	en_US
dc.relation.ispartof	IEEE Internet Computing	en_US
dc.relation.isbasedon	10.1109/MIC.2019.2909607	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Recommendations on the Internet of Things: Requirements, Challenges, and Directions	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	23	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	23	en_US

Abstract:

© 1997-2012 IEEE. The Internet of Things (IoT) is accelerating the growth of data available on the Internet, which makes the traditional search paradigms incapable of digging the information that people need from massive and deep resources. Furthermore, given the dynamic nature of organizations, social structures, and devices involved in IoT environments, intelligent and automated approaches become critical to support decision makers with the knowledge derived from the vast amount of information available through IoT networks. Indeed, IoT is more desirable of an effective and efficient paradigm of proactive discovering rather than postactive searching. This paper discusses some of the important requirements and key challenges to enable effective and efficient thing-of-interest recommendation and provides an array of new perspectives on IoT recommendation.

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http://hdl.handle.net/10453/134678