Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/108870
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJi, K.-
dc.contributor.authorShen, H.-
dc.date.issued2016-
dc.identifier.citationNeurocomputing, 2016; 218:1-12-
dc.identifier.issn0925-2312-
dc.identifier.issn1872-8286-
dc.identifier.urihttp://hdl.handle.net/2440/108870-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityKe Ji, Hong Shen-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2016 Elsevier B.V. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.neucom.2016.03.070-
dc.subjectCollaborative filtering; recommender systems explanation; cold start; tag-keyword-
dc.titleJointly modeling content, social network and ratings for explainable and cold-start recommendation-
dc.typeJournal article-
dc.identifier.doi10.1016/j.neucom.2016.03.070-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP150104871-
pubs.publication-statusPublished-
dc.identifier.orcidShen, H. [0000-0002-3663-6591] [0000-0003-0649-0648]-
Appears in Collections:Aurora harvest 3
Computer Science publications

Files in This Item:
File Description SizeFormat 
RA_hdl_108870.pdf
  Restricted Access
Restricted Access3.05 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.