| Paper Abstract and Keywords |
| Presentation |
2015-06-23 09:55
Discovering Temporal Dynamics of Consumer's Purchase Decisions based on Hierarchical Time-Rescaling Model Hideaki Kim, Noriko Takaya, Hiroshi Sawada (NTT) IBISML2015-2 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
With the explosive growth of information technology, industrial practitioners now have the potential to communicate with their customers wherever and whenever they want. This situation puts strong pressure on the practitioners to find the right time to communicate with each of their customers. In this paper, by employing the novel idea of hierarchical time rescaling, we construct a tractable but highly flexible model for estimating consumers' purchase probability in a continuous-time setting. We analyze real-world transaction data, and show that our model precisely tracks the temporal dynamics of purchase probability at the level of individuals. It enables us to take well-timed marketing actions such as advertising and recommendations, leading to the construction of a profitable relationship with each customer. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Point process / Time-rescaling theorem / Self-excitation / Consumer behavior / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 115, no. 112, IBISML2015-2, pp. 9-14, June 2015. |
| Paper # |
IBISML2015-2 |
| Date of Issue |
2015-06-16 (IBISML) |
| 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 |
IBISML2015-2 |
| Conference Information |
| Committee |
NC IPSJ-BIO IBISML IPSJ-MPS |
| Conference Date |
2015-06-23 - 2015-06-25 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Okinawa Institute of Science and Technology |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Machine Learning Approach to Biodata Mining, and General |
| Paper Information |
| Registration To |
IBISML |
| Conference Code |
2015-06-NC-BIO-IBISML-MPS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Discovering Temporal Dynamics of Consumer's Purchase Decisions based on Hierarchical Time-Rescaling Model |
| Sub Title (in English) |
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| Keyword(1) |
Point process |
| Keyword(2) |
Time-rescaling theorem |
| Keyword(3) |
Self-excitation |
| Keyword(4) |
Consumer behavior |
| Keyword(5) |
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| Keyword(6) |
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| 1st Author's Name |
Hideaki Kim |
| 1st Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
| 2nd Author's Name |
Noriko Takaya |
| 2nd Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
| 3rd Author's Name |
Hiroshi Sawada |
| 3rd Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
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| Speaker |
Author-1 |
| Date Time |
2015-06-23 09:55:00 |
| Presentation Time |
25 minutes |
| Registration for |
IBISML |
| Paper # |
IBISML2015-2 |
| Volume (vol) |
vol.115 |
| Number (no) |
no.112 |
| Page |
pp.9-14 |
| #Pages |
6 |
| Date of Issue |
2015-06-16 (IBISML) |