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Paper Abstract and Keywords
Presentation 2021-05-28 11:20
Orientation Estimation of Interests using Approximate Minimum Steiner Tree
Urara Kobayashi, Naoki Matsumoto, Kunitake Kaneko (Keio Univ.) IN2021-4
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, there has been a tendency to represent information by graph according to services, and it attracts attention to estimate interests using graph space in the field of advertisement and product development. In particular, when we use non-property graphs whose edges do not have attributes, we have no choice but to use the distance for estimation, and if the estimation index is the distance between the vertex for browsed information (terminal) and the vertex for information that the user is interested in (vertex of interest), the index can reflect no more than the nearest terminal to the vertex of interest, so it is not possible to consider the uneven distribution of terminals in the graph. Therefore, the authors call the uneven distribution of the terminals in the graph the orientation and estimate interests in consideration of the orientation. Specifically complementary vertices (Steiner points) that reflect the uneven distribution of terminals are calculated using the approximate minimum Steiner tree, and the shortest distance between the terminal or Steiner points and the vertex of interest is calculated. It was clarified that the complement with the approximate minimum Steiner tree can reflect the uneven distribution of terminals, there is the strength of the orientation, and the method can take the orientation into account independent of the number of terminals. The evaluations using Amazon’s joint purchase graph show that when the terminal group diameter showing distribution (spread) of interest is 8, the rate of change of the shortest distance is about 0.93 times, and when it is 14, it is about 0.87 times.
Keyword (in Japanese) (See Japanese page) 
(in English) graph / interest / steiner tree / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 42, IN2021-4, pp. 19-24, May 2021.
Paper # IN2021-4 
Date of Issue 2021-05-20 (IN) 
ISSN 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 RCS IN NV  
Conference Date 2021-05-27 - 2021-05-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Ad-Hoc/Sensor Networks/MANET, Mobile Networks, M2M/IoT Communications, Wi-Fi, IEEE802.15(ZigBee) and others 
Paper Information
Registration To IN 
Conference Code 2021-05-RCS-IN-NV 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Orientation Estimation of Interests using Approximate Minimum Steiner Tree 
Sub Title (in English)  
Keyword(1) graph  
Keyword(2) interest  
Keyword(3) steiner tree  
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1st Author's Name Urara Kobayashi  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Naoki Matsumoto  
2nd Author's Affiliation Research Institute for Digital Media and Content, Keio University (Keio Univ.)
3rd Author's Name Kunitake Kaneko  
3rd Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2021-05-28 11:20:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2021-4 
Volume (vol) vol.121 
Number (no) no.42 
Page pp.19-24 
#Pages
Date of Issue 2021-05-20 (IN) 


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