IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
... (for ESS/CS/ES/ISS)
Tech. Rep. Archives
... (for ES/CS)
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2019-10-26 10:40
Predicting Personality based on Ad-Request Logs
Akihiro Kobayashi, Yuichi Ishikawa (KDDI Research Inc.), Shigeru Kuroyanagi (Supership), Atsunori Minamikawa (KDDI Research Inc.) HCS2019-40
Abstract (in Japanese) (See Japanese page) 
(in English) Recently role of customers’ personality traits is one of the main topics in advertising technologies. Predicting personality traits of customers who visit a web page displaying banner ads without questionnaire will profit advertising distributor. However, conventional methods are limited to users who post texts or images on SNS. We extract behavioral characteristics of users' browsing on the WWW from the ad-request log based on embedding techniques used in natural language processing and predict personality traits of the users from the characteristics. We verified accuracy of the estimator (MAX ROC-AUC=0.612) by cross-validation.
Keyword (in Japanese) (See Japanese page) 
(in English) Personality / Web behavior analytics / word2vec / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 252, HCS2019-40, pp. 1-6, Oct. 2019.
Paper # HCS2019-40 
Date of Issue 2019-10-19 (HCS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF HCS2019-40

Conference Information
Committee HCS  
Conference Date 2019-10-26 - 2019-10-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Nihon Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HCS 
Conference Code 2019-10-HCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Predicting Personality based on Ad-Request Logs 
Sub Title (in English)  
Keyword(1) Personality  
Keyword(2) Web behavior analytics  
Keyword(3) word2vec  
1st Author's Name Akihiro Kobayashi  
1st Author's Affiliation KDDI Research Inc. (KDDI Research Inc.)
2nd Author's Name Yuichi Ishikawa  
2nd Author's Affiliation KDDI Research Inc. (KDDI Research Inc.)
3rd Author's Name Shigeru Kuroyanagi  
3rd Author's Affiliation Supership Inc. (Supership)
4th Author's Name Atsunori Minamikawa  
4th Author's Affiliation KDDI Research Inc. (KDDI Research Inc.)
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Date Time 2019-10-26 10:40:00 
Presentation Time 20 
Registration for HCS 
Paper # IEICE-HCS2019-40 
Volume (vol) IEICE-119 
Number (no) no.252 
Page pp.1-6 
#Pages IEICE-6 
Date of Issue IEICE-HCS-2019-10-19 

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan