| Incremental factorization machines for persistently cold-starting online item recommendation T Kitazawa arXiv preprint arXiv:1607.02858, 2016 | 13 | 2016 |
| Query-Based Simple and Scalable Recommender Systems with Apache Hivemall T Kitazawa, M Yui Proceedings of the 12th ACM Conference on Recommender Systems, 502-503, 2018 | 8 | 2018 |
| Sketching dynamic user-item interactions for online item recommendation T Kitazawa Proceedings of the 2017 Conference on Conference Human Information …, 2017 | 6 | 2017 |
| FluRS: A Python Library for Online Item Recommendation T Kitazawa https://takuti.me/note/flurs/, 2017 | 3 | 2017 |
| Zero-Coding UMAP in Marketing: A Scalable Platform for Profiling and Predicting Customer Behavior by Just Clicking on the Screen T Kitazawa Adjunct Publication of the 27th Conference on User Modeling, Adaptation and …, 2019 | 2 | 2019 |
| 逐次更新可能な行列近似手法の性能評価および応用可能性に関する一考察 北澤拓也， 松尾宇泰 人工知能学会研究会資料 人工知能基本問題研究会 98 回 (2015/8), 05, 2015 | 1 | 2015 |
| Recommendation. jl: A Framework for Building Recommender Systems in Julia T Kitazawa The Proceedings of the JuliaCon Conferences 6, 58, 2024 | | 2024 |
| Incremental Factorization Machines for Item Recommendation in Data Streams T Kitazawa | | 2016 |
| User Modeling in Folksonomies: Relational Clustering and Tag Weighting T Kitazawa, M Sugiyama Proceedings of the 5th International Conference on Web Intelligence, Mining …, 2015 | | 2015 |
| 関係データ解析による Folksonomy 上のユーザモデリング 北澤拓也， 杉山雅英 第 77 回全国大会講演論文集 2015 (1), 645-646, 2015 | | 2015 |
| Relational Clustering in Social Bookmark 北澤拓也， 杉山雅英 電気関係学会東北支部連合大会講演論文集 平成 26 年度 電気関係学会東北支部連合 …, 2014 | | 2014 |
Makoto YuiTreasure DataVerified email at apache.org
Makoto YuiTreasure DataVerified email at apache.org
Masahide SugiyamaEmeritus Professor, University of Aizu