| 2025 | RecSys | Unobserved Negative Items in Recommender Systems: Challenges and Solutions for Evaluation and Learning. | Masahiro Sato |
| 2024 | RecSys | Calibrating the Predictions for Top-N Recommendations. | Masahiro Sato |
| 2023 | SMC | Properly Scoring Users' Mainstreamness to Evaluate Recommendation Bias. | Yamato Hara, Masahiro Sato, Hajime Nobuhara |
| 2021 | ECIR | Causality-Aware Neighborhood Methods for Recommender Systems. | Masahiro Sato, Janmajay Singh, Sho Takemori, Qian Zhang |
| 2021 | ICDE | Model for Cooking Recipe Generation using Reinforcement Learning. | Jumpei Fujita, Masahiro Sato, Hajime Nobuhara |
| 2021 | ICML | Approximation Theory Based Methods for RKHS Bandits. | Sho Takemori, Masahiro Sato |
| 2021 | RecSys | Online Evaluation Methods for the Causal Effect of Recommendations. | Masahiro Sato |
| 2021 | SAC | Incorporating multi-level positive feedback to session-based nearest-neighbor. | Qian Zhang, Masahiro Sato, Sho Takemori, Tomoko Ohkuma |
| 2021 | WSDM | Incorporating Wide Context Information for Deep Knowledge Tracing using Attentional Bi-interaction. | Raghava Krishnan, Janmajay Singh, Masahiro Sato, Qian Zhang, Tomoko Ohkuma |
| 2020 | RecSys | Unbiased Learning for the Causal Effect of Recommendation. | Masahiro Sato, Sho Takemori, Janmajay Singh, Tomoko Ohkuma |
| 2020 | SAC | Modeling user exposure with recommendation influence. | Masahiro Sato, Janmajay Singh, Sho Takemori, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma |
| 2020 | UAI | Submodular Bandit Problem Under Multiple Constraints. | Sho Takemori, Masahiro Sato, Takashi Sonoda, Janmajay Singh, Tomoko Ohkuma |
| 2020 | UIST | Haptic Reproduction by Pneumatic Control Method Based on Load-Displacement Profile. | Hiroshi Suzuki, Akihito Nishiike, Kentaro Yoshida, Masahiro Sato, Yota Komoriya, Takayuki Ezaki |
| 2019 | ICDM | Action-Triggering Recommenders: Uplift Optimization and Persuasive Explanation. | Masahiro Sato, Shin Kawai, Hajime Nobuhara |
| 2019 | RecSys | Uplift-based evaluation and optimization of recommenders. | Masahiro Sato, Janmajay Singh, Sho Takemori, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma |
| 2019 | WWW | Augmenting Knowledge Tracing by Considering Forgetting Behavior. | Koki Nagatani, Qian Zhang, Masahiro Sato, Yan-Ying Chen, Francine Chen, Tomoko Ohkuma |
| 2018 | IUI | Explaining Recommendations Using Contexts. | Masahiro Sato, Budrul Ahsan, Koki Nagatani, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma |
| 2017 | RecSys | Accurate and Diverse Recommendation based on Users' Tendencies toward Temporal Item Popularity. | Koki Nagatani, Masahiro Sato |
| 2015 | RecSys | Discount Sensitive Recommender System for Retail Business. | Masahiro Sato, Hidetaka Izumo, Takashi Sonoda |
| 2006 | IAS | Effects of Robotic Arm Orthosis Behaviors to User's Motion Structure - Qualitative Assessment Using Arm Trajectory Profiles. | Yukio Horiguchi, Satoshi Tsukamoto, Hiroyuki Ono, Tetsuo Sawaragi, Masahiro Sato |