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Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Can Latent Features Be Interpreted as Users in Matrix Factorization-Based Recommender Systems?
Brun, Armelle; Aleksandrova, Marharyta; Boyer, Anne
2014 • In Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)-Volume 02
Peer reviewed
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https://hdl.handle.net/10993/33405
DOI
10.1109/WI-IAT.2014.102
 

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Disciplines :
Computer science
Author, co-author :
Brun, Armelle
Aleksandrova, Marharyta ;  University of Lorraine ; National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
Boyer, Anne
External co-authors :
yes
Language :
English
Title :
Can Latent Features Be Interpreted as Users in Matrix Factorization-Based Recommender Systems?
Publication date :
2014
Event name :
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
Event organizer :
IEEE Computer Society
Event date :
from 11-08-2014 to 14-08-2014
Main work title :
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)-Volume 02
Peer reviewed :
Peer reviewed
Commentary :
226--233
Available on ORBilu :
since 01 December 2017

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