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11 hits

Journal

  1. Haixun Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Hao Niu, Mori Kurokawa, "A DNN-based Cross-Domain Recommender System for Alleviating Cold-Start Problem in E-commerce," IEEE Open Journal of the Industrial Electronics Society , pp.194-206, July 2020.

International Conference

  1. Hao Niu, Duc Nguyen, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara, "User-irrelevant Cross-domain Association Analysis for Cross-domain Recommendation with Transfer Learning," Proceedings of the ACM Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR), pp.37-45, June 2023.
  2. Duc Nguyen, Hao Niu, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara, "On the Transferability of Deep Neural Networks for Recommender System," European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), pp.22-37, September 2020.
  3. Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara, "Advertiser-Assisted Behavioral Ad-Targeting Via Denoised Distribution Induction," Proceedings of IEEE International Conference on Big Data (BigData), December 2019.
  4. Yuan Lyu, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa, "Behavior Matching between Different Domains Based on Canonical Correlation Analysis," International Workshop on e-Commerce and NLP (ECNLP), May 2019.
  5. Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa, "Preliminary Investigation of Alleviating User Cold-Start Problem in E-Commerce with Deep Cross-Domain Recommender System," International Workshop on e-Commerce and NLP (ECNLP), May 2019.
  6. Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara, "A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting," Pacific Asia Workshop on Deep Learning for Knowledge Transfer (DLKT), pp.274-285, April 2019.
  7. Mori Kurokawa, Hao Niu, Kei Yonekawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara, "Virtual Touch-Point: Trans-Domain Behavioral Targeting Via Transfer Learning," International Workshop on Big Data Transfer Learning (BDTL), pp.4762-4767, December 2018.

Domestic Conference

  1. Zhi Li, Boqi Gao, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa, "Trends Tracking Memory Recommender Networks for Product Recommendations in E-Commerce," データ工学と情報マネジメントに関するフォーラム (DEIM), 2020年3月.
  2. Hanxin Wang, 天方 大地, 前川 卓也, 原 隆浩, 牛 コウ, 米川 慧, 黒川 茂莉, "Eコマース環境におけるコールドスタート問題のための深層学習に基づくクロスドメイン推薦システムに関する検討," データ工学と情報マネジメントに関するフォーラム (DEIM), 2019年3月.
  3. 呂 遠, 天方 大地, 前川 卓也, 原 隆浩, 牛 コウ, 米川 慧, 黒川 茂莉, "正準相関分析に基づく異なるドメイン間のアカウントマッチングに関する検討," データ工学と情報マネジメントに関するフォーラム (DEIM), 2019年3月.
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