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| Presentation | 2016-03-04 13:50 A meal menu recommendation system based on the Bayesian network inference modeling intuitive elements Masahide MIyoshi, Kazumasa Takami (Soka Univ.)  IN2015-145 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We are intuitive to determine the diet menu that we want to eat in a restaurant, in consideration of their own situation (mood, physical condition) and the time zone. However, although judged by our intuition, we would feel with the selected menu which was not expected. We sometimes regret that it was to choose the other menu. In this paper, we propose a meal menu recommendation system that supports with determining menu from intuition elements of the human being felt in determining the meal menu. We extract intuition elements that perceive at the time of the determination of the menu meal. Then, they are reasoning in Bayesian network. The inference result is acquired as a collective knowledge base. The knowledge base has been integrated into a web system. We have evaluated the effectiveness by using the proposed system at the on-campus restaurant in Soka University. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Intuition element / Bayesian network / Meal menu / Knowledge base / Web system / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 484, IN2015-145, pp. 217-222, March 2016. | |
| Paper # | IN2015-145 | |
| Date of Issue | 2016-02-25 (IN) | |
| 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 | IN2015-145 |
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| Conference Information | |
| Committee | NS IN |
| Conference Date | 2016-03-03 - 2016-03-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Phoenix Seagaia Resort |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | IN |
| Conference Code | 2016-03-NS-IN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A meal menu recommendation system based on the Bayesian network inference modeling intuitive elements |
| Sub Title (in English) | |
| Keyword(1) | Intuition element |
| Keyword(2) | Bayesian network |
| Keyword(3) | Meal menu |
| Keyword(4) | Knowledge base |
| Keyword(5) | Web system |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Masahide MIyoshi |
| 1st Author's Affiliation | Soka University (Soka Univ.) |
| 2nd Author's Name | Kazumasa Takami |
| 2nd Author's Affiliation | Soka University (Soka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2016-03-04 13:50:00 |
| Presentation Time | 20 minutes |
| Registration for | IN |
| Paper # | IN2015-145 |
| Volume (vol) | vol.115 |
| Number (no) | no.484 |
| Page | pp.217-222 |
| #Pages | 6 |
| Date of Issue | 2016-02-25 (IN) |
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