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Paper Abstract and Keywords
Presentation 2019-01-22 10:00
Sightseeing Spot Recommendation Based on Photographer's Preference Extracted from Sightseeing Photographs
Hiroki Nakano, Komei Arasawa, Ryohei Watanabe, Shun Hattori (Muroran Inst. of Tech.) IN2018-80
Abstract (in Japanese) (See Japanese page) 
(in English) Along with the spread of mobile terminal devices, the number of users who take pictures during traveling and post them to SNS is increasing, but most of them are not utilized. In addition, travelers often go around their unsuited sightseeing spots out of their own "preferences," because sightseeing spots posted in sightseeing guides do not take into consideration the users' individual "preferences." If many photographs that sleep in mobile terminal devices can be utilized for recommendation of sightseeing spots, it will lead to the creation of new travel opportunities, the revitalization of local regions, and the improvement of travelers' satisfaction with sightseeing spots. In this paper, we assume that photographs taken by a user include her/his inherent "preference." This paper aims at developing a novel method for sightseeing spot recommendation based on each user's "preference" tags extracted by analyzing object-name tags in her/his photographs, image-recognized by the existing image analysis technology.
Keyword (in Japanese) (See Japanese page) 
(in English) Information Recommendation / Sightseeing Spot / SNS / General Object Recognition / Machine Learning / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 408, IN2018-80, pp. 45-50, Jan. 2019.
Paper # IN2018-80 
Date of Issue 2019-01-14 (IN) 
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)
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Conference Information
Committee IN  
Conference Date 2019-01-21 - 2019-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) WINC AICHI 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Contents Distribution, Social Networking Services, Data Analytics and Processing Platform, Big data, etc. 
Paper Information
Registration To IN 
Conference Code 2019-01-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sightseeing Spot Recommendation Based on Photographer's Preference Extracted from Sightseeing Photographs 
Sub Title (in English)  
Keyword(1) Information Recommendation  
Keyword(2) Sightseeing Spot  
Keyword(3) SNS  
Keyword(4) General Object Recognition  
Keyword(5) Machine Learning  
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1st Author's Name Hiroki Nakano  
1st Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
2nd Author's Name Komei Arasawa  
2nd Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
3rd Author's Name Ryohei Watanabe  
3rd Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
4th Author's Name Shun Hattori  
4th Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
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Speaker Author-1 
Date Time 2019-01-22 10:00:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2018-80 
Volume (vol) vol.118 
Number (no) no.408 
Page pp.45-50 
#Pages
Date of Issue 2019-01-14 (IN) 


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