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Paper Abstract and Keywords
Presentation 2019-03-05 16:30
Set transformer for coordinating outfits
Takuma Nakamura, Yuki Saito (ZOZO Research) IBISML2018-108
Abstract (in Japanese) (See Japanese page) 
(in English) We have evaluated Set Transformer, the permutation invariant neural network model, for selecting fashion items and generating outfits, based on set feature similarities. In the experiments, we have achieved 78% accuracy in Fill-in-the-blank (FITB) task using our IQON dataset. We also propose a decoder-based similarity for FITB task for future works.
Keyword (in Japanese) (See Japanese page) 
(in English) recommendation / deep learning / fashion / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 472, IBISML2018-108, pp. 23-29, March 2019.
Paper # IBISML2018-108 
Date of Issue 2019-02-26 (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)
Download PDF IBISML2018-108

Conference Information
Committee IBISML  
Conference Date 2019-03-05 - 2019-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) RIKEN AIP 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine learning, etc. 
Paper Information
Registration To IBISML 
Conference Code 2019-03-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Set transformer for coordinating outfits 
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Keyword(1) recommendation  
Keyword(2) deep learning  
Keyword(3) fashion  
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1st Author's Name Takuma Nakamura  
1st Author's Affiliation ZOZO Research (ZOZO Research)
2nd Author's Name Yuki Saito  
2nd Author's Affiliation ZOZO Research/SOKENDAI (ZOZO Research)
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Speaker Author-2 
Date Time 2019-03-05 16:30:00 
Presentation Time 30 minutes 
Registration for IBISML 
Paper # IBISML2018-108 
Volume (vol) vol.118 
Number (no) no.472 
Page pp.23-29 
#Pages
Date of Issue 2019-02-26 (IBISML) 


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