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Paper Abstract and Keywords
Presentation 2015-12-18 09:20
Booth and visitors feature analysis of considering the residence time based on Wi-Fi log data
Akifumi Kiyohiro, Masaki Maruta, Tsunenori Mine (Kyushu Univ.) AI2015-27
Abstract (in Japanese) (See Japanese page) 
(in English) With the spread of smart devices, user location data can easily be captured by using Wi-Fi devices and results of analyzing the location data can be used for marketing. Finding popular booths is useful for creating a future strategy and making a new recommendation service for the marketing. Since the popularity of the booths strongly depends on interests of exhibition visitors, we investigated the visitor interests considering not only the number of visitors, but also their staying time at each booth. In this paper, we report characteristics of the top 15 booths according to the relation between the number of visitors and their staying time at each booth. We first distinguished visitors from staffs and devices in the time-series location data we used, and investigated the placement and categories of the top 15 booths, where the booths were selected according to the number of visitors, their staying time, and the area of each booth.
Keyword (in Japanese) (See Japanese page) 
(in English) Big Data / Wi-Fi log data / Residence time / Interest determination / Exhibition / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 381, AI2015-27, pp. 7-12, Dec. 2015.
Paper # AI2015-27 
Date of Issue 2015-12-11 (AI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 AI  
Conference Date 2015-12-18 - 2015-12-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To AI 
Conference Code 2015-12-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Booth and visitors feature analysis of considering the residence time based on Wi-Fi log data 
Sub Title (in English)  
Keyword(1) Big Data  
Keyword(2) Wi-Fi log data  
Keyword(3) Residence time  
Keyword(4) Interest determination  
Keyword(5) Exhibition  
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Keyword(8)  
1st Author's Name Akifumi Kiyohiro  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Masaki Maruta  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Tsunenori Mine  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2015-12-18 09:20:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2015-27 
Volume (vol) vol.115 
Number (no) no.381 
Page pp.7-12 
#Pages
Date of Issue 2015-12-11 (AI) 


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