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5 件の該当がありました. : このページのURL : HTML


国際会議
[1] Lyu Yuan, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Niu Hao, Yonekawa Kei, and Kurokawa Mori, "Behavior Matching between Different Domains Based on Canonical Correlation Analysis," In WWW International Workshop on e-Commerce and NLP (ECNLP), May 2019.
[2] Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, and Mori Kurokawa, "Preliminary Investigation of Alleviating User Cold-Start Problem in E-Commerce with Deep Cross-Domain Recommender System," In WWW International Workshop on e-Commerce and NLP (ECNLP), May 2019.
[3] Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, and Takahiro Hara. , "A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting," Pacific Asia Workshop on Deep Learning for Knowledge Transfer (DLKT), April 2019.
[4] Mori Kurokawa, Hao Niu, Kei Yonekawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, and Takahiro Hara, "Virtual Touch-Point: Trans-Domain Behavioral Targeting Via Transfer Learning," In International Workshop on Big Data Transfer Learning (BDTL), pages 4762-4767 December 2018.
国内研究会
[1] 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," 第11回データ工学と情報マネジメントに関するフォーラム(DEIMフォーラム2019), 2019年3月.