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Paper Abstract and Keywords
Presentation 2023-03-13 16:35
Lifelog Data Analyses of SNS Users Based on Supervised Learning to Forecast the Number of Bookmarks of A Post
Komei Arasawa, Shun Matsukawa, Nobuyuki Sugio, Naofumi Wada, Hiroki Matsuzaki (Hokkaido Univ. of Sci.) LOIS2022-56
Abstract (in Japanese) (See Japanese page) 
(in English) It is an important issue to establish how to produce and transmit a post that triggers people's interest, in marketing and other activities using social network. In particular, we need a technology that forecasts the posts that users would be interested in and identifies the factors. This paper proposes a method that forecasts whether or not a user would bookmark a post that he/she sees from now on, based on learning the features the posts are bookmarked by the user. In addition, it evaluates the performance of the method and analyzes the factors that affect bookmark-behavior of each user.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine Learning / Like / Twitter / Gradient Boosting Decision Tree / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 423, LOIS2022-56, pp. 72-76, March 2023.
Paper # LOIS2022-56 
Date of Issue 2023-03-06 (LOIS) 
ISSN 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)
Download PDF LOIS2022-56

Conference Information
Committee LOIS  
Conference Date 2023-03-13 - 2023-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2023-03-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Lifelog Data Analyses of SNS Users Based on Supervised Learning to Forecast the Number of Bookmarks of A Post 
Sub Title (in English)  
Keyword(1) Machine Learning  
Keyword(2) Like  
Keyword(3) Twitter  
Keyword(4) Gradient Boosting Decision Tree  
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Keyword(6)  
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1st Author's Name Komei Arasawa  
1st Author's Affiliation Hokkaido University of Science (Hokkaido Univ. of Sci.)
2nd Author's Name Shun Matsukawa  
2nd Author's Affiliation Hokkaido University of Science (Hokkaido Univ. of Sci.)
3rd Author's Name Nobuyuki Sugio  
3rd Author's Affiliation Hokkaido University of Science (Hokkaido Univ. of Sci.)
4th Author's Name Naofumi Wada  
4th Author's Affiliation Hokkaido University of Science (Hokkaido Univ. of Sci.)
5th Author's Name Hiroki Matsuzaki  
5th Author's Affiliation Hokkaido University of Science (Hokkaido Univ. of Sci.)
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Speaker Author-1 
Date Time 2023-03-13 16:35:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # LOIS2022-56 
Volume (vol) vol.122 
Number (no) no.423 
Page pp.72-76 
#Pages 5 
Date of Issue 2023-03-06 (LOIS) 

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