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 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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AI2019-53 |
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) |
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Keyword(1) |
Market Segmentation |
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Benefit |
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T-distributed Stochastic Neighbor Embedding |
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Non-negative Matrix Factorization |
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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 |
6 |
Date of Issue |
2020-02-07 (AI) |
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