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Mori Kurokawa
Mori Kurokawa
KDDI Research, Inc.
Bestätigte E-Mail-Adresse bei kddi-research.jp
Titel
Zitiert von
Zitiert von
Jahr
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
1302007
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
522016
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
432020
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
302013
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
222019
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
162022
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
132008
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
122023
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
112014
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
112006
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
102020
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
102014
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
92020
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
72022
Explainable knowledge reasoning framework using multiple knowledge graph embedding
M Kurokawa
Proceedings of the 10th International Joint Conference on Knowledge Graphs …, 2021
72021
Extracting People’s Stays from Cellular Network Data
M Kurokawa, T Watanabe, S Muramatsu, H Kanasugi, Y Sekimoto, ...
NetMob2013, 2013
62013
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
62008
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
52019
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
42020
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
42019
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