| Presentation | 2020-02-14 Customer Analysis Based on Benefit Segmentation Using a t-SNE Fumiaki Saitoh, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Understanding customer characteristics based on data is an important issue in marketing areas such as new product development, advertisement, and sales strategy. In this study, we propose a new framework for analyzing questionnaire data using t-SNE and NMF, which have become widely used in data mining in recent years. The proposed method associates the relevance between factor information corresponding to the characteristic question items of each segment and the low-dimensional map. Thus, we attempt to visualize the relationship between the customer's demographics and the benefits on both sides. The proposed method makes it possible to identfy the differences between segments and the relationships between features through an analysis of customer information, and helps users understand the market structure. As a result, it can be expected to be used effectively as a tool to support product development, such as setting personas and finding hidden needs in the market. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Market Segmentation / Benefit / T-distributed Stochastic Neighbor Embedding / Non-negative Matrix Factorization / Data Visualization |
| Paper # | AI2019-53 |
| Date of Issue | 2020-02-07 (AI) |
| Conference Information | |
| Committee | AI |
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| Conference Date | 2020/2/14(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Izumo Campus, Shimane University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Socionetwork Strategies in the Market of Data VI: Cross-cultural Collaboration and Life Space Innovation, etc. |
| Chair | Naoki Fukuta(Shizuoka Univ.) |
| Vice Chair | Yuichi Sei(Univ. of Electro-Comm.) / Yuko Sakurai(AIST) |
| Secretary | Yuichi Sei(Osaka Univ.) / Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) |
| Assistant | |
| 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) | Customer Analysis Based on Benefit Segmentation Using a t-SNE |
| Sub Title (in English) | |
| Keyword(1) | Market Segmentation |
| Keyword(2) | Benefit |
| Keyword(3) | T-distributed Stochastic Neighbor Embedding |
| Keyword(4) | Non-negative Matrix Factorization |
| Keyword(5) | Data Visualization |
| 1st Author's Name | Fumiaki Saitoh |
| 1st Author's Affiliation | Chiba Institute of Technology(CIT) |
| Date | 2020-02-14 |
| Paper # | AI2019-53 |
| Volume (vol) | vol.119 |
| Number (no) | AI-413 |
| Page | pp.pp.61-66(AI), |
| #Pages | 6 |
| Date of Issue | 2020-02-07 (AI) |