Time-aware sequence model for next-item recommendation

Wang, D; Xu, D; Yu, D; Xu, G

Time-aware sequence model for next-item recommendation

Wang, D Xu, D Yu, D Xu, G

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Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: APPLIED INTELLIGENCE, 2021, 51, (2), pp. 906-920
Issue Date:: 2021-01-01

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Field	Value	Language
dc.contributor.author	Wang, D
dc.contributor.author	Xu, D
dc.contributor.author	Yu, D
dc.contributor.author	Xu, G https://orcid.org/0000-0003-4493-6663
dc.date.accessioned	2021-07-26T12:53:01Z
dc.date.available	2021-07-26T12:53:01Z
dc.date.issued	2021-01-01
dc.identifier.citation	APPLIED INTELLIGENCE, 2021, 51, (2), pp. 906-920
dc.identifier.issn	0924-669X
dc.identifier.issn	1573-7497
dc.identifier.uri	http://hdl.handle.net/10453/149941
dc.language	English
dc.publisher	SPRINGER
dc.relation.ispartof	APPLIED INTELLIGENCE
dc.relation.isbasedon	10.1007/s10489-020-01820-2
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	This is a post-peer-review, pre-copyedit version of an article published in [APPLIED INTELLIGENCE, 2021, 51, (2), pp. 906-920]. The final authenticated version is available online at: doi.org/10.1007/s10489-020-01820-2]”
dc.subject	0801 Artificial Intelligence and Image Processing
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Time-aware sequence model for next-item recommendation
dc.type	Journal Article
utslib.citation.volume	51
utslib.for	0801 Artificial Intelligence and Image Processing
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/Strength - AAI - Advanced Analytics Institute Research Centre
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2021-07-26T12:53:00Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	51
utslib.citation.issue	2

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http://hdl.handle.net/10453/149941