| Personalized Stock Recommendation with Investors' Attention and Contextual Information T Takayanagi, K Izumi, A Kato, N Tsunedomi, Y Abe Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 3 | 2023 |
| Personalized dynamic recommender system for investors T Takayanagi, CC Chen, K Izumi Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 3 | 2023 |
| Setn: Stock embedding enhanced with textual and network information T Takayanagi, H Sakaji, K Izumi 2022 IEEE International Conference on Big Data (Big Data), 2377-2382, 2022 | 3 | 2022 |
| Context-Aware Stock Recommendations with Stocks' Characteristics and Investors' Traits T Takayanagi, K Izumi IEICE TRANSACTIONS on Information and Systems 106 (10), 1732-1741, 2023 | 2 | 2023 |
| Incorporating domain-specific traits into personality-aware recommendations for financial applications T Takayanagi, K Izumi New Generation Computing, 1-15, 2024 | 1 | 2024 |
| Frogs into princes: A generative model to understand the success of product descriptions T Takayanagi, B Charron, M Visentini-Scarzanella Proceedings of the Seventh Workshop on e-Commerce and NLP@ LREC-COLING 2024 …, 2024 | | 2024 |
| Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis T Takayanagi, M Suzuki, R Kobayashi, H Sakaji, K Izumi arXiv preprint arXiv:2402.14484, 2024 | | 2024 |
| Harnessing Behavioral Traits to Enhance Financial Stock Recommender Systems: Tackling the User Cold Start Problem T Takayanagi, K Izumi 2023 IEEE International Conference on Big Data (BigData), 5694-5703, 2023 | | 2023 |
| How deliberation induces convergence of social values Y Ogura, R Kobayashi, T Takayanagi, M Suzuki, H Sakaji OSF, 2023 | | 2023 |
| 個別銘柄情報と銘柄間情報を利用したテーマ株抽出手法の提案 高柳剛弘， 坂地泰紀， 和泉潔 人工知能学会全国大会論文集 第 36 回 (2022), 2A6GS601-2A6GS601, 2022 | | 2022 |
Kiyoshi IzumiThe University of Tokyo在 sys.t.u-tokyo.ac.jp 的电子邮件经过验证
