Identifying representative users in matrix factorization-based recommender systems: application to solving the content-less new item cold-start problem

Reference : Identifying representative users in matrix factorization-based recommender systems: a...


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/33039

Title :	Identifying representative users in matrix factorization-based recommender systems: application to solving the content-less new item cold-start problem
Language :	English
Author, co-author :	Aleksandrova, Marharyta [University of Lorraine > > > ; National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”]
	Brun, Armelle []
	Boyer, Anne []
	Chertov, Oleg []
Publication date :	2016
Journal title :	Journal of Intelligent Information Systems
Publisher :	Springer Science & Business Media B.V.
Peer reviewed :	Yes (verified by ORBi^lu)
Audience :	International
ISSN :	0925-9902
e-ISSN :	1573-7675
Permalink :	http://hdl.handle.net/10993/33039

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