| Presentation | 2016-03-04 A meal menu recommendation system based on the Bayesian network inference modeling intuitive elements Masahide MIyoshi, Kazumasa Takami, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Intuition element / Bayesian network / Meal menu / Knowledge base / Web system |
| Paper # | IN2015-145 |
| Date of Issue | 2016-02-25 (IN) |
| Conference Information | |
| Committee | NS / IN |
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| Conference Date | 2016/3/3(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Phoenix Seagaia Resort |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Chair | Atsushi Hiramatsu(NTT-AT) / Hidetsugu Kobayashi(NTT) |
| Vice Chair | Hideki Tode(Osaka Pref. Univ.) / Katsunori Yamaoka(Tokyo Inst. of Tech.) |
| Secretary | Hideki Tode(Univ. of Fukui) / Katsunori Yamaoka(NTT) |
| Assistant | Shohei Kamamura(NTT) / Yuichi Sudo(NTT) / Kunitake Kaneko(Keio Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Network Systems / Technical Committee on Information Networks |
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| Language | JPN |
| 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 |
| 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.) |
| Date | 2016-03-04 |
| Paper # | IN2015-145 |
| Volume (vol) | vol.115 |
| Number (no) | IN-484 |
| Page | pp.pp.217-222(IN), |
| #Pages | 6 |
| Date of Issue | 2016-02-25 (IN) |