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Paper Abstract and Keywords
Presentation 2018-06-14 14:30
Study on Travel Planning Method through Must-visiting Planning by Using Bidirectional LSTM
ZihJia Liou (NCTU), Masato Nomiyama, Toshiki Takeuchi, Tomohiro Tanikawa, Takuji Narumi, Michitaka Hirose (UTokyo) MVE2018-4
Abstract (in Japanese) (See Japanese page) 
(in English) During travel planning, some travelers would first select the places which are famous or they are interested in, and then collect information for more travel spots to fill in the idle time. This scenario is must-visiting planning. However, the process is time-consuming and the sequence of the spots would affect travel experience. To support travelers in exploring spots efficiently without ruining the travel experience, we combine deep learning model - bidirectional LSTM and the concept of experience flow to provide candidates as interpolated spot to add between must-visiting spots. With this method, the travel plan can be enriched and experience can be enhanced.
Keyword (in Japanese) (See Japanese page) 
(in English) Travel planning / Must-visiting planning / Bidirectional LSTM / Travel experience / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 95, MVE2018-4, pp. 47-52, June 2018.
Paper # MVE2018-4 
Date of Issue 2018-06-07 (MVE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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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 MVE ITE-HI  
Conference Date 2018-06-14 - 2018-06-15 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2018-06-MVE-HI 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on Travel Planning Method through Must-visiting Planning by Using Bidirectional LSTM 
Sub Title (in English)  
Keyword(1) Travel planning  
Keyword(2) Must-visiting planning  
Keyword(3) Bidirectional LSTM  
Keyword(4) Travel experience  
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1st Author's Name ZihJia Liou  
1st Author's Affiliation National Chiao Tung University (NCTU)
2nd Author's Name Masato Nomiyama  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Toshiki Takeuchi  
3rd Author's Affiliation The University of Tokyo (UTokyo)
4th Author's Name Tomohiro Tanikawa  
4th Author's Affiliation The University of Tokyo (UTokyo)
5th Author's Name Takuji Narumi  
5th Author's Affiliation The University of Tokyo (UTokyo)
6th Author's Name Michitaka Hirose  
6th Author's Affiliation The University of Tokyo (UTokyo)
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Speaker
Date Time 2018-06-14 14:30:00 
Presentation Time 20 
Registration for MVE 
Paper # IEICE-MVE2018-4 
Volume (vol) IEICE-118 
Number (no) no.95 
Page pp.47-52 
#Pages IEICE-6 
Date of Issue IEICE-MVE-2018-06-07 


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