| Presentation | 2022-07-04 Data visualization analysis of factors influencing the recommendations of others in the service industry using an UMAP Fumiaki Saitoh, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Understanding the structure of customer segments is one of the important procedures in the scene of developing products and services that meet customer needs through targeting. In this study, when visualizing large-scale questionnaire data by UMAP, we confirmed that the quality of mapping was improved through dimensional reduction using NMF, which is a multi-layered data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | UMAP / massive questionnaires / data visualization / market segment / deep NMF |
| Paper # | AI2022-9 |
| Date of Issue | 2022-06-27 (AI) |
| Conference Information | |
| Committee | AI |
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| Conference Date | 2022/7/4(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yuichi Sei(Univ. of Electro-Comm.) |
| Vice Chair | Yuko Sakurai(AIST) / Tadachika Ozono(Nagoya Inst. of Tech.) |
| Secretary | Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) / Tadachika Ozono(Toho Univ.) |
| Assistant | Kazutaka Matsuzaki(Chuo Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Data visualization analysis of factors influencing the recommendations of others in the service industry using an UMAP |
| Sub Title (in English) | |
| Keyword(1) | UMAP |
| Keyword(2) | massive questionnaires |
| Keyword(3) | data visualization |
| Keyword(4) | market segment |
| Keyword(5) | deep NMF |
| 1st Author's Name | Fumiaki Saitoh |
| 1st Author's Affiliation | Chiba Institute of Technology(CIT) |
| Date | 2022-07-04 |
| Paper # | AI2022-9 |
| Volume (vol) | vol.122 |
| Number (no) | AI-94 |
| Page | pp.pp.48-51(AI), |
| #Pages | 4 |
| Date of Issue | 2022-06-27 (AI) |