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| Presentation | 2019-01-16 14:05 User Preference Extraction Method and Its Rating Scale with Associative Mining and Workflow Net Mohd Anuaruddin Bin Ahmadon (Yamaguchi Univ.), Piyatida Sakorn (Kasetsart Univ.), Shingo Yamaguchi (Yamaguchi Univ.)  MSS2018-75 SS2018-46 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | ecommender systems have been widely used to improved customer experienced and to support personalized service to the consumer. In this paper, we proposed a method to obtain preferred service workflow which has the highest probability of going to be used by the customer to facilitate market analysis. The approach is by mining the association rules that correspond to the workflow of a universal service then performs a workflow reduction to obtain the preferred workflow. We first proposed a problem for determining preferred workflow. Then, we proposed a workflow reduction method based on association rules generation and rules filtering. Finally, we illustrated the approach of the proposed method with an example of a user workflow prediction and its evaluation scale. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | user preference / recommender system / associative mining / evaluation scale / workflow net / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 384, MSS2018-75, pp. 115-119, Jan. 2019. | |
| Paper # | MSS2018-75 | |
| Date of Issue | 2019-01-08 (MSS, SS) | |
| 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 | MSS2018-75 SS2018-46 |
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| Conference Information | |
| Committee | MSS SS |
| Conference Date | 2019-01-15 - 2019-01-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MSS |
| Conference Code | 2019-01-MSS-SS |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | User Preference Extraction Method and Its Rating Scale with Associative Mining and Workflow Net |
| Sub Title (in English) | |
| Keyword(1) | user preference |
| Keyword(2) | recommender system |
| Keyword(3) | associative mining |
| Keyword(4) | evaluation scale |
| Keyword(5) | workflow net |
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| 1st Author's Name | Mohd Anuaruddin Bin Ahmadon |
| 1st Author's Affiliation | Yamaguchi University (Yamaguchi Univ.) |
| 2nd Author's Name | Piyatida Sakorn |
| 2nd Author's Affiliation | Kasetsart University (Kasetsart Univ.) |
| 3rd Author's Name | Shingo Yamaguchi |
| 3rd Author's Affiliation | Yamaguchi University (Yamaguchi Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-01-16 14:05:00 |
| Presentation Time | 25 minutes |
| Registration for | MSS |
| Paper # | MSS2018-75, SS2018-46 |
| Volume (vol) | vol.118 |
| Number (no) | no.384(MSS), no.385(SS) |
| Page | pp.115-119 |
| #Pages | 5 |
| Date of Issue | 2019-01-08 (MSS, SS) |
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