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 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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AI2015-27 |
Conference Information |
Committee |
AI |
Conference Date |
2015-12-18 - 2015-12-19 |
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(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) |
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Keyword(1) |
Big Data |
Keyword(2) |
Wi-Fi log data |
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Residence time |
Keyword(4) |
Interest determination |
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Exhibition |
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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 |
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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 |
6 |
Date of Issue |
2015-12-11 (AI) |
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