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Paper Abstract and Keywords
Presentation 2014-03-17 15:40
Analysis of the MovieLens dataset using Tensor SOM
Yosuke Date, Yasuhiro Wakita, Toru Iwasaki, Tetsuo Furukawa (Kyushu Inst. of Tech.) NC2013-99
Abstract (in Japanese) (See Japanese page) 
(in English) Tensor SOM is an extension of Self-Organizing Map (SOM) from vectorial data to tensorial ones. The aim of this paper is to apply Tensor SOM to the MovieLens dataset, which is a popular benchmark of recommendation systems. The MovieLens dataset consists of rating data of movie titles scored by respondents, with their attribution information. By applying Tensor SOM, the dataset was visualized by a pair of maps, i.e., the maps of the movies and the respondents, as well as visualizing the relation between them. It was also succeeded to estimate missing scores, suggesting that the Tensor SOM can be used as a recommendation system.
Keyword (in Japanese) (See Japanese page) 
(in English) Self-organizing map / Tensor SOM / Relational data / Recommendation system / MovieLens / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 500, NC2013-99, pp. 63-68, March 2014.
Paper # NC2013-99 
Date of Issue 2014-03-10 (NC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NC2013-99

Conference Information
Committee NC MBE  
Conference Date 2014-03-17 - 2014-03-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2014-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of the MovieLens dataset using Tensor SOM 
Sub Title (in English)  
Keyword(1) Self-organizing map  
Keyword(2) Tensor SOM  
Keyword(3) Relational data  
Keyword(4) Recommendation system  
Keyword(5) MovieLens  
1st Author's Name Yosuke Date  
1st Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
2nd Author's Name Yasuhiro Wakita  
2nd Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
3rd Author's Name Toru Iwasaki  
3rd Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
4th Author's Name Tetsuo Furukawa  
4th Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
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Date Time 2014-03-17 15:40:00 
Presentation Time 20 
Registration for NC 
Paper # IEICE-NC2013-99 
Volume (vol) IEICE-113 
Number (no) no.500 
Page pp.63-68 
#Pages IEICE-6 
Date of Issue IEICE-NC-2014-03-10 

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