Learning coupled latent features via review texts for IOT service recommendation

Zhang, Q Wang, L Xu, K Lu, W Ma, X Huang, Y

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Field	Value	Language
dc.contributor.author	Zhang, Q
dc.contributor.author	Wang, L
dc.contributor.author	Xu, K
dc.contributor.author	Lu, W
dc.contributor.author	Ma, X
dc.contributor.author	Huang, Y
dc.date.accessioned	2024-04-14T23:08:10Z
dc.date.available	2024-04-14T23:08:10Z
dc.date.issued	2022-07
dc.identifier.citation	Computers & Electrical Engineering, 2022, 101, pp. 108084
dc.identifier.issn	0045-7906
dc.identifier.uri	http://hdl.handle.net/10453/177908
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Computers & Electrical Engineering
dc.relation.isbasedon	10.1016/j.compeleceng.2022.108084
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0803 Computer Software, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering
dc.subject.classification	Electrical & Electronic Engineering
dc.subject.classification	4008 Electrical engineering
dc.subject.classification	4602 Artificial intelligence
dc.subject.classification	4606 Distributed computing and systems software
dc.title	Learning coupled latent features via review texts for IOT service recommendation
dc.type	Journal Article
utslib.citation.volume	101
utslib.for	0803 Computer Software
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2024-04-14T23:08:09Z
pubs.publication-status	Published
pubs.volume	101

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