T
Toshihiro Kamishima
Researcher at National Institute of Advanced Industrial Science and Technology
Publications - 46
Citations - 2306
Toshihiro Kamishima is an academic researcher from National Institute of Advanced Industrial Science and Technology. The author has contributed to research in topics: Recommender system & Task (project management). The author has an hindex of 18, co-authored 46 publications receiving 1695 citations.
Papers
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Book ChapterDOI
Fairness-aware classifier with prejudice remover regularizer
TL;DR: A regularization approach is proposed that is applicable to any prediction algorithm with probabilistic discriminative models and applied to logistic regression and empirically show its effectiveness and efficiency.
Proceedings ArticleDOI
Fairness-aware Learning through Regularization Approach
TL;DR: This paper discusses three causes of unfairness in machine learning and proposes a regularization approach that is applicable to any prediction algorithm with probabilistic discriminative models and applies it to logistic regression to empirically show its effectiveness and efficiency.
Proceedings ArticleDOI
Nantonac collaborative filtering: recommendation based on order responses
TL;DR: This work proposes some methods to recommed items based on these order responses, and carries out the comparison experiments of these methods.
Journal ArticleDOI
Multistakeholder recommendation: Survey and research directions
Himan Abdollahpouri,Gediminas Adomavicius,Robin Burke,Ido Guy,Dietmar Jannach,Toshihiro Kamishima,Jan Krasnodebski,Luiz Augusto Pizzato +7 more
TL;DR: In this paper, the authors outline the multistakeholder perspective on recommendation, highlighting example research areas and discussing important issues, open questions, and prospective research directions, highlighting the importance of other stakeholders in recommender systems.
Journal ArticleDOI
Beyond Personalization: Research Directions in Multistakeholder Recommendation.
Himan Abdollahpouri,Gediminas Adomavicius,Robin Burke,Ido Guy,Dietmar Jannach,Toshihiro Kamishima,Jan Krasnodebski,Luiz Augusto Pizzato +7 more
TL;DR: The multistakeholder perspective on recommendation is outlined, highlighting example research areas and discussing important issues, open questions, and prospective research directions.