Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences

Xia, F Liu, H Lee, I Cao, L

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Field	Value	Language
dc.contributor.author	Xia, F
dc.contributor.author	Liu, H
dc.contributor.author	Lee, I
dc.contributor.author	Cao, L https://orcid.org/0000-0003-1562-9429
dc.date.accessioned	2022-01-11T22:07:26Z
dc.date.available	2022-01-11T22:07:26Z
dc.date.issued	2016-06-01
dc.identifier.citation	IEEE Transactions on Big Data, 2016, 2, (2), pp. 101-112
dc.identifier.issn	2372-2096
dc.identifier.issn	2332-7790
dc.identifier.uri	http://hdl.handle.net/10453/152932
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Transactions on Big Data
dc.relation.isbasedon	10.1109/tbdata.2016.2555318
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences
dc.title	Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences
dc.type	Journal Article
utslib.citation.volume	2
utslib.for	08 Information and Computing Sciences
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
utslib.copyright.status	closed_access	*
dc.date.updated	2022-01-11T22:07:24Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	2
utslib.citation.issue	2

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