| Decoy Effect of Recommendation Systems on Real E-commerce Websites. F Mo, T Matsumoto, N Fukushima, F Kido, H Yamana IntRS@ RecSys, 151-163, 2022 | 4 | 2022 |
| Time distribution based diversified point of interest recommendation F Mo, H Jiao, H Yamana 2020 IEEE 5th International Conference on Cloud Computing and Big Data …, 2020 | 4 | 2020 |
| Evaluation of POI recommendation system beyond accuracy: Diversity explainability and computation cost H Jiao, F Mo, H Yamana Proceedings of 18th Japan data engineering and information management (DEIM …, 2020 | 4 | 2020 |
| EPT-GCN: Edge propagation-based time-aware graph convolution network for POI recommendation F Mo, H Yamana Neurocomputing 543, 126272, 2023 | 3 | 2023 |
| GN-GCN: Combining Geographical Neighbor Concept with Graph Convolution Network for POI Recommendation F Mo, H Yamana International Conference on Information Integration and Web, 153-165, 2022 | 3 | 2022 |
| Point of interest recommendation by exploiting geographical weighted center and categorical preference F Mo, H Yamana 2019 International Conference on Data Mining Workshops (ICDMW), 73-76, 2019 | 3 | 2019 |
| Real-Time Periodic Advertisement Recommendation Optimization using Ising Machine F Mo, H Jiao, S Morisawa, M Nakamura, K Kimura, H Fujisawa, ... 8th IEEE International Conference on Big Data, Big Data 2020, 5783-5785, 2020 | 2 | 2020 |
| Analysis of Dark Pattern-related Tweets from 2010 J Feng, F Mo, Y Yada, T Matsumoto, N Fukushima, F Kido, H Yamana 2023 IEEE 8th International Conference on Big Data Analytics (ICBDA), 100-106, 2023 | 1 | 2023 |
| Point of Interest Recommendation Acceleration Using Clustering H Jiao, F Mo, H Yamana 2021 IEEE 6th International Conference on Big Data Analytics (ICBDA), 175-180, 2021 | 1 | 2021 |
| Real-time Periodic Advertisement Recommendation Optimization under Delivery Constraint using Quantum-inspired Computer. F Mo, H Jiao, S Morisawa, M Nakamura, K Kimura, H Fujisawa, ... ICEIS (1), 431-441, 2021 | 1 | 2021 |
| Real-Time Periodic Advertisement Recommendation Optimization using Ising Machine MO Fan, J Huida, S MORISAWA, M NAKAMURA, K KIMURA, ... 2020 IEEE International Conference on Big Data (Big Data), 5783-5785, 2020 | 1 | 2020 |
| Sampling-based epoch differentiation calibrated graph convolution network for point-of-interest recommendation F Mo, X Fan, C Chen, C Bai, H Yamana Neurocomputing 571, 127140, 2024 | | 2024 |
| MOBARec-GCNFP: Champion Recommendation for Multi-Player Online Battle Arena Games Using Graph Convolution Network with Fewer Parameters C Chen, F Mo, X Fan, C Bai, H Yamana 2023 IEEE 8th International Conference on Big Data Analytics (ICBDA), 147-153, 2023 | | 2023 |
| aware Explainable Recommendation System with Aspect Matching S MA, F MO, H YAMANA | | |
Hayato YamanaProfessor, Waseda UniversityVerified email at waseda.jp
