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Paper Abstract and Keywords
Presentation 2020-02-14 17:10
Customer Analysis Based on Benefit Segmentation Using a t-SNE
Fumiaki Saitoh (CIT) AI2019-53
Abstract (in Japanese) (See Japanese page) 
(in English) Understanding customer characteristics based on data is an important issue in marketing areas such as new product development, advertisement, and sales strategy. In this study, we propose a new framework for analyzing questionnaire data using t-SNE and NMF, which have become widely used in data mining in recent years. The proposed method associates the relevance between factor information corresponding to the characteristic question items of each segment and the low-dimensional map. Thus, we attempt to visualize the relationship between the customer's demographics and the benefits on both sides. The proposed method makes it possible to identfy the differences between segments and the relationships between features through an analysis of customer information, and helps users understand the market structure. As a result, it can be expected to be used effectively as a tool to support product development, such as setting personas and finding hidden needs in the market.
Keyword (in Japanese) (See Japanese page) 
(in English) Market Segmentation / Benefit / T-distributed Stochastic Neighbor Embedding / Non-negative Matrix Factorization / Data Visualization / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 413, AI2019-53, pp. 61-66, Feb. 2020.
Paper # AI2019-53 
Date of Issue 2020-02-07 (AI) 
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 AI  
Conference Date 2020-02-14 - 2020-02-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Izumo Campus, Shimane University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Socionetwork Strategies in the Market of Data VI: Cross-cultural Collaboration and Life Space Innovation, etc. 
Paper Information
Registration To AI 
Conference Code 2020-02-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Customer Analysis Based on Benefit Segmentation Using a t-SNE 
Sub Title (in English)  
Keyword(1) Market Segmentation  
Keyword(2) Benefit  
Keyword(3) T-distributed Stochastic Neighbor Embedding  
Keyword(4) Non-negative Matrix Factorization  
Keyword(5) Data Visualization  
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1st Author's Name Fumiaki Saitoh  
1st Author's Affiliation Chiba Institute of Technology (CIT)
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Speaker Author-1 
Date Time 2020-02-14 17:10:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2019-53 
Volume (vol) vol.119 
Number (no) no.413 
Page pp.61-66 
#Pages
Date of Issue 2020-02-07 (AI) 


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