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Paper Abstract and Keywords
Presentation 2015-06-23 10:45
A Study on Non-negative Matrix Factorization for Integrated Analysis of Visiting and Rating Information
Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada (NTT) IBISML2015-4
Abstract (in Japanese) (See Japanese page) 
(in English) As the number of projects on data collection and analysis increases in many business fields, it is required that the method which can deal with various type of information such as browsing, check-in and rating collected through company's web-page, smart-phone app and so on. In this paper, we extend collective matrix factorization method in order to analyze multiple matrices whose element of each matrix follows Normal distribution and Poisson distribution, respectively. Using artificial dataset, experiment shows that proposed method improves mean squared error performance and provides the clustering result which reflects the relation between the user's viewing and evaluation activity.
Keyword (in Japanese) (See Japanese page) 
(in English) Non-negative Matrix Factorization / Collective Matrix Factorization / Euclid Distance / Generalized Kullback Leibler Divergence / Auxiliary Function Method / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 112, IBISML2015-4, pp. 21-26, June 2015.
Paper # IBISML2015-4 
Date of Issue 2015-06-16 (IBISML) 
ISSN Print edition: ISSN 0913-5685    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)
Download PDF IBISML2015-4

Conference Information
Committee NC IPSJ-BIO IBISML IPSJ-MPS  
Conference Date 2015-06-23 - 2015-06-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Institute of Science and Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning Approach to Biodata Mining, and General 
Paper Information
Registration To IBISML 
Conference Code 2015-06-NC-BIO-IBISML-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Non-negative Matrix Factorization for Integrated Analysis of Visiting and Rating Information 
Sub Title (in English)  
Keyword(1) Non-negative Matrix Factorization  
Keyword(2) Collective Matrix Factorization  
Keyword(3) Euclid Distance  
Keyword(4) Generalized Kullback Leibler Divergence  
Keyword(5) Auxiliary Function Method  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Masahiro Kohjima  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Tatsushi Matsubayashi  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Hiroshi Sawada  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2015-06-23 10:45:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # IBISML2015-4 
Volume (vol) vol.115 
Number (no) no.112 
Page pp.21-26 
#Pages 6 
Date of Issue 2015-06-16 (IBISML) 

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