Mori Kurokawa
Mori Kurokawa
KDDI Research, Inc.
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Explainable knowledge reasoning framework using multiple knowledge graph embedding
M Kurokawa
Proceedings of the 10th International Joint Conference on Knowledge Graphs …, 2021
Extracting People’s Stays from Cellular Network Data
M Kurokawa, T Watanabe, S Muramatsu, H Kanasugi, Y Sekimoto, ...
NetMob2013, 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
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
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
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
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