Rchr
J-GLOBAL ID:201501092433192025   Update date: Apr. 06, 2024

Haruka Yamashita

ヤマシタ ハルカ | Haruka Yamashita
Affiliation and department:
Job title: Associate Professor
Homepage URL  (1): http://pweb.cc.sophia.ac.jp/yamashita_lab/
Research field  (2): Safety engineering ,  Social systems engineering
Research keywords  (1): ビジネスアナリティクス, 統計的品質管理, 応用統計解析, 多変量解析
Research theme for competitive and other funds  (8):
  • 2024 - 2028 Construction of an analysis models for utilizing large-scale logs and experimental data to realize a data-driven enterprise system
  • 2021 - 2025 データ駆動型社会の基盤をなす次世代実験計画技術の開発と実証的評価
  • 2021 - 2024 ポストコロナ時代における異文化ネットワーキングに基づく協働型主体的学習モデル
  • 2021 - 2024 A study on an embedding model for constructing organic marketing system
  • 2020 - 2023 言語・教育・ヒューマンデータの処理に関する先端的研究
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Papers (51):
  • Akiko Yoneda, Ryotaro Shimizu, Shion Sakurai, Makoto Kawata, Haruka Yamashita, Masayuki Goto. Effectiveness verification framework for coupon distribution marketing measure considering users’ potential purchase intentions. Cogent Engineering. 2024. 11. 1
  • Ryota MATSUNAE, Fuyu SAITO, Haruka YAMASHITA, Masayuki GOTO. A Study on Out-of-Distribution Detection based on Generative Models Trained for Each Discriminant Class. Total Quality Science. 2023. 8. 2. 100-112
  • Kenya Nonaka, Haruka Yamashita, Toyofumi Miura, Masayuki Goto. Graph Embedding for Analysing Business Communication between Employees. IJPS. 2023. 64. 3. 758-768
  • Shingo Takemoto, Haruka Yamashita. A Study on Principal Points for a Multivariate Binary Distribution Considering the Distance between Clusters. IPSJ. 2023. 64. 1. 179-188
  • Tomohiro KIMURA, Haruka YAMASHITA. An Analysis for Promoting the Use of Food and Beverage Outlets in Movie Theaters Based on the Latent Class Logit Model. International Journal of Japan Association for Management Systems. 2022. 14. 1. 27-33
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MISC (81):
  • YONEDA Akiko, SHIMIZU Ryotaro, SAKURAI Shion, KAWATA Makoto, YAMASHITA Haruka, GOTO Masayuki. An Effectiveness Verification Model for Coupon Distribution Measures Based on Machine Learning Considered Users' Purchase Intention. Proceedings of the Annual Conference of JSAI. 2023. JSAI2023. 2A6GS202-2A6GS202
  • MATSUOKA Ryuta, YONEDA Akiko, YAMASHITA Haruka, GOTO Masayuki. A study on a recommender model based on the Neural Collaborative Ranking model utilizing multiple implicit feedback with ordering relationships. Proceedings of the Annual Conference of JSAI. 2023. JSAI2023. 1G3GS103-1G3GS103
  • KAWAMURA Shingo, ZYANG SEN, NAKAMURA Kenta, YAMASHITA Haruka. A Study of Factors Affecting Stock Price Fluctuation that assists investors in decision-making during the evaluation phase of portfolio companies. Proceedings of the Annual Conference of JSAI. 2023. JSAI2023. 2L6GS301-2L6GS301
  • IWAI Risa, SHIMIZU Ryotaro, YAMASHITA Haruka. Recommendation of Fashion Coordination Posts Based on Image and Linguistic Information. Proceedings of the Annual Conference of JSAI. 2023. JSAI2023. 2L6GS303-2L6GS303
  • TSUBOTA KENSHIRO, YAMASHITA Haruka. A consideration on Othello program aiming for a draw based on Monte Carlo Tree Search. Proceedings of the Annual Conference of JSAI. 2023. JSAI2023. 1K3GS303-1K3GS303
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Lectures and oral presentations  (44):
  • Title: Research on a movie rental recommendation system considering user preferences and seller interests based on RLDA
    (ICRMV2022 2022)
  • Machine Learning for Demand Prediction of Seasonal Secondhand Fashion Items Based on Prior and Fine-tuning Prediction Models
    (IEEE IWCIA2021 2021)
  • A Study on OOD Detection Based on Generative Models Trained for Each Discriminant Class
    (The 19th Asian Network for Quality Congress (ANQ2021) 2021)
  • A Study on Promoting the Use of Food and Beverage Shops in Movie Theatres Based on Latent Class Logit Model
    (Asian Network for Quality (ANQ2021) 2021)
  • A Study on Structural Equation Modeling Considering Latent Structure
    (2020 INFORMS Annual Meeting 2020)
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Professional career (3):
  • 学士(工学) (東京理科大学)
  • 修士(工学) (慶應義塾大学)
  • 博士(工学) (慶應義塾大学)
Awards (12):
  • 2022/09 - ANQ Best Paper Award A Method to Improve Serendipity of Recommendation Lists Based on Collaborative Metric Learning
  • 2022/08 - 2022PCカンファレンス 優秀論文賞 反転ゼミ形式による多大学で連携するオンライン研究交流の試みーデータサイエンス領域の オンラインゼミを事例として一
  • 2019/10 - Asian Conference on Management Science Association Best Paper Award China
  • 2018/09 - Asian Network for Quality 2018 Best Paper Award Kazakhstan
  • 2018/05 - Japan Industorial Management Association Best paper award
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