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Paper Abstract and Keywords
Presentation 2018-11-05 15:10
[Poster Presentation] Recommendation for Market Places using Non-negative Matrix Factorization and MDL Priciple
Yosuke Arano (Kyushu Univ.), Yusuke Miyake (GMO Pepabo), Masanori Kawakita, Junichi Takeuchi (Kyushu Univ.) IBISML2018-96
Abstract (in Japanese) (See Japanese page) 
(in English) We apply the rank selection method for non-negative matrix factorization (NMF) based on
MDL criterion which was proposed by [Yamauchi et al., 2012] to
user action data of hand made market ``minne''
for the purpose of recommendation of items on sale.
Yamauchi et al.
proposed an MDL criterion for NMF
in their research
for detection of cooperative actions of hosts in the internet infected with
single malware, and
successfully applied their NMF with the MDL criterion to real traffic data.
Minne deals various hand made products, for each of which
there are a few identical items.
Hence, we expect that NMF with the MDL criterion is more effective for
our task than the existing methods. This expectation was confirmed by
our experiments using real data of minne.
Keyword (in Japanese) (See Japanese page) 
(in English) Non-negative Matrix Factrization / MDL criterion / market place / recommendation / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 284, IBISML2018-96, pp. 389-395, Nov. 2018.
Paper # IBISML2018-96 
Date of Issue 2018-10-29 (IBISML) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee IBISML  
Conference Date 2018-11-05 - 2018-11-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Citizens Activites Center (Kaderu 2.7) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information-Based Induction Science Workshop (IBIS2018) 
Paper Information
Registration To IBISML 
Conference Code 2018-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Recommendation for Market Places using Non-negative Matrix Factorization and MDL Priciple 
Sub Title (in English)  
Keyword(1) Non-negative Matrix Factrization  
Keyword(2) MDL criterion  
Keyword(3) market place  
Keyword(4) recommendation  
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1st Author's Name Yosuke Arano  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Yusuke Miyake  
2nd Author's Affiliation Pepabo R&D Institute, GMO Pepabo, Inc. (GMO Pepabo)
3rd Author's Name Masanori Kawakita  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Junichi Takeuchi  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2018-11-05 15:10:00 
Presentation Time 180 minutes 
Registration for IBISML 
Paper # IBISML2018-96 
Volume (vol) vol.118 
Number (no) no.284 
Page pp.389-395 
#Pages
Date of Issue 2018-10-29 (IBISML) 


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