| Presentation | 2017-06-23 Analyzing trend of foods using multidomain data Masashi Anzawa, Sosuke Amano, Kiyoharu Aizawa, Makoto Ogawa, Shin'ichi Satou, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | People's diet is influenced variously such as social and cultural factors. the trend of meal changes by TV and SNS besides season, event. In addition, People became to see and enjoy food as well as eating. In this study, we focus on four kinds of domain data which are meal record service FoodLog, Google trends showing popularity of web search, household survey data showing food purchase amount, and TV subtitle data show exposure degree on television. And we analyze similarity between domain data degree, influence of trends by media, and clarify differences in data properties. Furthermore, we verify the presence or absence of seasonality from the time series data with respect to the meal name. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Multidomain data / Food trends / Time series data analysis / Seasonality |
| Paper # | DE2017-2 |
| Date of Issue | 2017-06-16 (DE) |
| Conference Information | |
| Committee | DE |
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| Conference Date | 2017/6/23(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Akiyo Nadamoto(Konan Univ.) |
| Vice Chair | Koji Eguchi(Kobe Univ.) / Shingo Otsuka(Kanagawa Inst. of Tech.) |
| Secretary | Koji Eguchi(Kogakuin Univ.) / Shingo Otsuka(Univ. of Marketing and Distrbution Science) |
| Assistant | Kazuo Goda(Univ. of Tokyo) / Yuroaki Shiokawa(Tsukuba Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Data Engineering |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analyzing trend of foods using multidomain data |
| Sub Title (in English) | |
| Keyword(1) | Multidomain data |
| Keyword(2) | Food trends |
| Keyword(3) | Time series data analysis |
| Keyword(4) | Seasonality |
| 1st Author's Name | Masashi Anzawa |
| 1st Author's Affiliation | The University of Tokyo(Univ. of Tokyo) |
| 2nd Author's Name | Sosuke Amano |
| 2nd Author's Affiliation | The University of Tokyo(Univ. of Tokyo) |
| 3rd Author's Name | Kiyoharu Aizawa |
| 3rd Author's Affiliation | The University of Tokyo(Univ. of Tokyo) |
| 4th Author's Name | Makoto Ogawa |
| 4th Author's Affiliation | foo.log Inc.(foo.log) |
| 5th Author's Name | Shin'ichi Satou |
| 5th Author's Affiliation | National Institute of Informatics(NII) |
| Date | 2017-06-23 |
| Paper # | DE2017-2 |
| Volume (vol) | vol.117 |
| Number (no) | DE-108 |
| Page | pp.pp.7-10(DE), |
| #Pages | 4 |
| Date of Issue | 2017-06-16 (DE) |