| A context-aware movie preference model using a Bayesian network for recommendation and promotion C Ono, M Kurokawa, Y Motomura, H Asoh International Conference on User Modeling, 247-257, 2007 | 129 | 2007 |
| Estimation of significant places visited by mobile-terminal user based on communications log to base stations M Kurokawa, D Kamisaka US Patent 9,445,229, 2016 | 52 | 2016 |
| A dnn-based cross-domain recommender system for alleviating cold-start problem in e-commerce H Wang, D Amagata, T Makeawa, T Hara, N Hao, K Yonekawa, ... IEEE Open Journal of the Industrial Electronics Society 1, 194-206, 2020 | 42 | 2020 |
| Spatiotemporal route estimation consistent with human mobility using cellular network data H Kanasugi, Y Sekimoto, M Kurokawa, T Watanabe, S Muramatsu, ... 2013 IEEE international conference on pervasive computing and communications …, 2013 | 29 | 2013 |
| Preliminary investigation of alleviating user cold-start problem in e-commerce with deep cross-domain recommender system H Wang, D Amagata, T Maekawa, T Hara, H Niu, K Yonekawa, ... Companion Proceedings of The 2019 World Wide Web Conference, 398-403, 2019 | 21 | 2019 |
| HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce Z Li, D Amagata, Y Zhang, T Maekawa, T Hara, K Yonekawa, M Kurokawa Knowledge-Based Systems 255, 109674, 2022 | 15 | 2022 |
| ユーザ嗜好の個人差と状況差を考慮した映画推薦システムの実現と評価 小野智弘， 黒川茂莉， 本村陽一， 麻生英樹 情報処理学会論文誌 49 (1), 130-140, 2008 | 13 | 2008 |
| BLE シグナルと PDR によるハイブリッド屋内測位手法の基礎検討~ Open Beacon Field Trial 参加における実験結果の共有~ 石塚宏紀， 上坂大輔， 黒川茂莉， 渡邉孝文， 村松茂樹， 小野智弘 電子情報通信学会技術研究報告; 信学技報 114 (31), 133-138, 2014 | 11 | 2014 |
| 協調フィルタリングと属性ベースフィルタリングの統合について 麻生英樹， 小野智弘， 本村陽一 電子情報通信学会技術研究報告= IEICE technical report: 信学技報 106 (279), 55-59, 2006 | 11 | 2006 |
| Parameter-level soft-masking for continual learning T Konishi, M Kurokawa, C Ono, Z Ke, G Kim, B Liu International Conference on Machine Learning, 17492-17505, 2023 | 10 | 2023 |
| 第 2 回ナレッジグラフ推論チャレンジ 2019 開催報告~ 説明性のある人工知能システムを目指して~ 川村隆浩， 江上周作， 松下京群， 田村光太郎， 角田充弘， 外園康智， ... 人工知能学会全国大会論文集 第 34 回 (2020), 1O4GS401-1O4GS401, 2020 | 10 | 2020 |
| A Fundamental Study on a Indoor localization method using BLE signals and PDR for a smart phone H Ishizuka, D Kamisaka, M Kurokawa, T Watanabe, S Muramatsu, C Ono ICE Tech. Rep. Mona Mob. Netw. Appl. 114, 133-138, 2014 | 10 | 2014 |
| Explainable knowledge reasoning framework using multiple knowledge graph embedding M Kurokawa Proceedings of the 10th International Joint Conference on Knowledge Graphs …, 2021 | 7 | 2021 |
| Multi-source transfer learning for human activity recognition in smart homes H Niu, D Nguyen, K Yonekawa, M Kurokawa, S Wada, K Yoshihara 2020 IEEE international conference on smart computing (SMARTCOMP), 274-277, 2020 | 7 | 2020 |
| Extracting People’s Stays from Cellular Network Data M Kurokawa, T Watanabe, S Muramatsu, H Kanasugi, Y Sekimoto, ... NetMob2013, 2013 | 6 | 2013 |
| Implementation and evaluation of a movie recommender system considering both users’ personality and situation C Ono, M Kurokawa, Y Motomura, H Asoh IPSJ J 49 (1), 130-140, 2008 | 6 | 2008 |
| Behavior matching between different domains based on canonical correlation analysis Y Lyu, D Amagata, T Maekawa, T Hara, H Niu, K Yonekawa, M Kurokawa Companion Proceedings of The 2019 World Wide Web Conference, 361-366, 2019 | 5 | 2019 |
| Debiasing graph transfer learning via item semantic clustering for cross-domain recommendations Z Li, D Amagata, Y Zhang, T Hara, S Haruta, K Yonekawa, M Kurokawa 2022 IEEE International Conference on Big Data (Big Data), 762-769, 2022 | 4 | 2022 |
| On the Transferability of Deep Neural Networks for Recommender System. D Nguyen, H Niu, K Yonekawa, M Kurokawa, C Ono, D Amagata, ... IAL@ PKDD/ECML, 22-37, 2020 | 4 | 2020 |
| A heterogeneous domain adversarial neural network for trans-domain behavioral targeting K Yonekawa, H Niu, M Kurokawa, A Kobayashi, D Amagata, T Maekawa, ... Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2019 …, 2019 | 4 | 2019 |
