| Presentation | 2020-02-14 A Data Fusion Method Assuming Latent Proxy Variables for Target Variables Yoshihide Nishio, Yasuo Tanida, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose an analysis method that enables cross-domain prediction and interpretation of consumer behavior, and maintains anonymity in each domains sharing common consumer values. Such analysis has problems of data-sparsity. Our method solve it by compressing dimensions of consumer behavior while keeping relationship with ones values. We tests the method in 2-ways; the “upside” estimates consumer values diagnosed by a special questionnaire from purchased items in a supermarket, and the “downside” predicts from the opposite. It is worth noting that the downside keeps accuracy if input the upside estimation. We also shows an analysis on middle-layer of downside model that helps understanding customers. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Data Fusion / Consumer Behavior / Consumer Values / Cross-Domain Recommender / Matrix Factorization / Representation Learning |
| Paper # | AI2019-52 |
| 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) | A Data Fusion Method Assuming Latent Proxy Variables for Target Variables |
| Sub Title (in English) | |
| Keyword(1) | Data Fusion |
| Keyword(2) | Consumer Behavior |
| Keyword(3) | Consumer Values |
| Keyword(4) | Cross-Domain Recommender |
| Keyword(5) | Matrix Factorization |
| Keyword(6) | Representation Learning |
| 1st Author's Name | Yoshihide Nishio |
| 1st Author's Affiliation | Synergy Marketing, Inc.(Synergy Marketing) |
| 2nd Author's Name | Yasuo Tanida |
| 2nd Author's Affiliation | Synergy Marketing, Inc.(Synergy Marketing) |
| Date | 2020-02-14 |
| Paper # | AI2019-52 |
| Volume (vol) | vol.119 |
| Number (no) | AI-413 |
| Page | pp.pp.55-60(AI), |
| #Pages | 6 |
| Date of Issue | 2020-02-07 (AI) |