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Journal

  1. 海保 拓真, 原 隆浩, 黒川 茂莉, 米川 慧, 天方 大地, 前川 卓也, "異種ドメインのユーザ・アイテムクラスタ情報を用いたペアワイズ学習に基づく購買予測手法," 情報処理学会 論文誌 (IPSJ Journal), vol.65, no.1, pp.230-240, 2024年1月.
  2. Zhi Li, Daichi Amagata, Yihong Zhang, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Mori Kurokawa, "HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce," Knowledge-Based Systems (KBS), pp.109674, June 2022.
  3. 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. Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa, "Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations," Proceedings of International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), July 2024.
  2. Rikuto Tsubouchi, Takahiro Hara, Kei Yonekawa, Shuichiro Haruta, "Unvisited Out-Of-Town POI Recommendation with Simultaneous Learning of Multiple Regions.," Proceedings of IEEE International Conference on Big Data (BigData), pp.915-924, December 2023.
  3. 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.
  4. Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa, "Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations," The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), vol.13937, pp.271-283, May 2023.
  5. Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa, "Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations.," Proceedings of IEEE International Conference on Big Data (BigData), pp.762-769, December 2022.
  6. Zhi Li, Daichi Amagata, Takuya Maekawa, Kei Yonekawa, Mori Kurokawa, Takahiro Hara, "Trends-enhanced Attention & Memory Networks for E-commerce Recommendation," Proceedings of International ACM SIGIR Workshop On eCommerce (SIGIReCom), July 2022.
  7. Jun Murao, Kei Yonekawa, Mori Kurokawa, Daichi Amagata, Takuya Maekawa, Takahiro Hara, "Concept Drift Detection with Denoising Autoencoder in Incomplete Data," Proceedings of the International Workshop on Ubiquitous and Multi-domain User Modeling (UMUM), November 2021.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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. 壺内 陸友, 原 隆浩, 米川 慧, 春田 秀一郎, "複数地域の同時学習が可能な未訪問Out-Of-Town POI 推薦手法," データ工学と情報マネジメントに関するフォーラム (DEIM), 2023年3月.
  2. 壺内 陸友, 原 隆浩, 天方 大地, 前川 卓也, 米川 慧, 黒川 茂莉, "店舗のテキスト情報を用いた類似店舗への訪問有無を考慮する訪問予測手法," 情報処理学会 マルチメディア, 分散, 協調とモバイル シンポジウム (DICOMO), 2022年7月.
  3. 海保 拓真, 原 隆浩, 黒川 茂莉, 米川 慧, 天方 大地, 前川 卓也, "異種ドメインのユーザ・アイテムクラスタ情報を用いたペアワイズ学習に基づく購買予測手法," 情報処理学会 マルチメディア通信と分散処理(DPS)研究会 , 2022年3月.
  4. 壺内 陸友, 野村 ひかる, 原 隆浩, 米川 慧, 李 智, 天方 大地, 前川 卓也, 黒川 茂莉, "店舗のテキスト情報とユーザ，店舗の訪問時間の傾向を用いた訪問予測手法," 情報論的学習理論ワークショップ (IBIS), 2021年11月.
  5. 野村 ひかる, 米川 慧, 李 智, 原 隆浩, 天方 大地, 前川 卓也, 黒川 茂莉, "X-Transformerを用いた店舗のクラスタリングに基づく訪問予測," 情報処理学会 マルチメディア通信と分散処理ワークショップ (DPSWS), pp.1-8, 2021年10月.
  6. 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.
  7. 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.
  8. 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.

Award

  1. 壺内 陸友, 原 隆浩, 天方 大地, 前川 卓也, 米川 慧, 黒川 茂莉, "優秀論文賞," 情報処理学会 マルチメディア, 分散, 協調とモバイル シンポジウム , 2022年7月.
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