| Presentation | 2019-07-22 A Recommendation System using Auto-encoders for Data Divided on Item Densities Go Tanioka, Akihiro Inokuchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, deep learning have attracted attention in the field of machine learning, and its applications to the recommendation system dealt with in this study have also been proposed.In this paper, we improve the conventional recommendation system using an Auto-Encoder.In concrete terms, we propose a method for learning with two independent models for dense items and sparse items that constitute input data.We performed comparative experiments with the existing method and proposed method using MovieLens and other datasets to evaluate their superiority. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Recommendation System / AutoEncoder / Deep Learning |
| Paper # | AI2019-14 |
| Date of Issue | 2019-07-15 (AI) |
| Conference Information | |
| Committee | AI |
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| Conference Date | 2019/7/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| 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 Recommendation System using Auto-encoders for Data Divided on Item Densities |
| Sub Title (in English) | |
| Keyword(1) | Recommendation System |
| Keyword(2) | AutoEncoder |
| Keyword(3) | Deep Learning |
| 1st Author's Name | Go Tanioka |
| 1st Author's Affiliation | Kwansei Gakuin University(KGU) |
| 2nd Author's Name | Akihiro Inokuchi |
| 2nd Author's Affiliation | Kwansei Gakuin University(KGU) |
| Date | 2019-07-22 |
| Paper # | AI2019-14 |
| Volume (vol) | vol.119 |
| Number (no) | AI-139 |
| Page | pp.pp.71-75(AI), |
| #Pages | 5 |
| Date of Issue | 2019-07-15 (AI) |