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Paper Abstract and Keywords
Presentation 2019-12-24 09:35
A Book Prediction Model Based on User's Book Arrangement and It's Evaluation
Tatsuya Miyamoto, Daisuke Kitayama (Kogakuin Univ.) DE2019-21
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the evaluation of recommender systems has focused on not only accuracy but other aspects.
This is because users are not always satisfied with book recommender systems focusing on accuracy alone.
In this paper, we propose a book predict model for book recommendation method that considers serendipity and explainability based on user book arrangement.
If user thinks about the order of some different books, this order is differently by each user.
We propose a book recommender system that understands the intention of a user's book arrangement and recommends books accordingly.
We investigate the effectiveness of our proposed approach through experiments on novels.
Keyword (in Japanese) (See Japanese page) 
(in English) Recommender systems / Book recommend / Paragraph vector / Regression / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 354, DE2019-21, pp. 1-5, Dec. 2019.
Paper # DE2019-21 
Date of Issue 2019-12-16 (DE) 
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 DE2019-21

Conference Information
Committee DE IPSJ-DBS  
Conference Date 2019-12-23 - 2019-12-24 
Place (in Japanese) (See Japanese page) 
Place (in English) National Institute of Informatics 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To DE 
Conference Code 2019-12-DE-DBS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Book Prediction Model Based on User's Book Arrangement and It's Evaluation 
Sub Title (in English)  
Keyword(1) Recommender systems  
Keyword(2) Book recommend  
Keyword(3) Paragraph vector  
Keyword(4) Regression  
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1st Author's Name Tatsuya Miyamoto  
1st Author's Affiliation Kogakuin University (Kogakuin Univ.)
2nd Author's Name Daisuke Kitayama  
2nd Author's Affiliation Kogakuin University (Kogakuin Univ.)
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Speaker
Date Time 2019-12-24 09:35:00 
Presentation Time 25 
Registration for DE 
Paper # IEICE-DE2019-21 
Volume (vol) IEICE-119 
Number (no) no.354 
Page pp.1-5 
#Pages IEICE-5 
Date of Issue IEICE-DE-2019-12-16 


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