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| Presentation | 2017-02-18 16:00 Proposal of extracting purchase behavior and product DNA using Topic Model Mamoru Emoto, Yukio Ohsawa (UTokyo)  AI2016-33 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this study, we propose a method that enables us to extract customer characters and product characters based on customer purchase behavior. There are many proposed methods for clustering and extracting customer characters and their behavior but few methods focus on the fact that customer characters and product characters change as time advances. Therefore we apply Dynamic Topic Model(DTM), which is an extended model of Latent Dirichlet Allocation(LDA) and obtain customer and product vectors based on purchase behavior. These vectors are created from the output of DTM and by using them we can discuss and visualize their features on a field of customer purchase behavior topics. We also conduct an experiment at a supermarket store to validate hypotheses based on product vectors. From the result of the experiment, we can recognize that this method is promising for creating marketing strategies. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Point Of Sales / Topic Model / Visualization / Customer Behavior / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 460, AI2016-33, pp. 51-55, Feb. 2017. | |
| Paper # | AI2016-33 | |
| Date of Issue | 2017-02-11 (AI) | |
| ISSN | Print edition: ISSN 0913-5685 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 | AI2016-33 |
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| Conference Information | |
| Committee | AI |
| Conference Date | 2017-02-18 - 2017-02-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | AI |
| Conference Code | 2017-02-AI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Proposal of extracting purchase behavior and product DNA using Topic Model |
| Sub Title (in English) | |
| Keyword(1) | Point Of Sales |
| Keyword(2) | Topic Model |
| Keyword(3) | Visualization |
| Keyword(4) | Customer Behavior |
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| 1st Author's Name | Mamoru Emoto |
| 1st Author's Affiliation | The University of Tokyo (UTokyo) |
| 2nd Author's Name | Yukio Ohsawa |
| 2nd Author's Affiliation | The University of Tokyo (UTokyo) |
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| Speaker | Author-1 |
| Date Time | 2017-02-18 16:00:00 |
| Presentation Time | 30 minutes |
| Registration for | AI |
| Paper # | AI2016-33 |
| Volume (vol) | vol.116 |
| Number (no) | no.460 |
| Page | pp.51-55 |
| #Pages | 5 |
| Date of Issue | 2017-02-11 (AI) |
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