| ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping M Ariannezhad, S Jullien, M Li, M Fang, S Schelter, M de Rijke SIGIR 2022: Proceedings of the 45th International ACM SIGIR Conference on …, 2022 | 38 | 2022 |
| Deep dilation on multimodality time series for human activity recognition R Xi, M Li, M Hou, M Fu, H Qu, D Liu, CR Haruna IEEE Access 6, 53381-53396, 2018 | 38 | 2018 |
| A next basket recommendation reality check M Li, S Jullien, M Ariannezhad, M de Rijke ACM Transactions on Information Systems, 2023 | 35 | 2023 |
| A personalized neighborhood-based model for within-basket recommendation in grocery shopping M Ariannezhad, M Li, S Schelter, M de Rijke WSDM 2023: Proceedings of the Sixteenth ACM International Conference on Web …, 2023 | 11 | 2023 |
| Repetition and Exploration in Sequential Recommendation M Li, A Vardasbi, A Yates, M de Rijke SIGIR 2023: 46th international ACM SIGIR Conference on Research and …, 2023 | 7 | 2023 |
| Who will purchase this item next? Reverse next period recommendation in grocery shopping M Li, M Ariannezhad, A Yates, M de Rijke ACM Transactions on Recommender Systems 1 (2), 1, 2023 | 6 | 2023 |
| Generate desired images from trained generative adversarial networks M Li, R Xi, B Chen, M Hou, D Liu, L Guo IJCNN 2019: International Joint Conference on Neural Networks, 1-8, 2019 | 6 | 2019 |
| Consistency maintenance in replication: a novel strategy based on diamond topology in cloud storage S Luo, M Hou, S Zhan, M Lyu, M Li Chinese Journal of Electronics 26 (1), 192-198, 2017 | 5 | 2017 |
| Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke RecSys 2023: 17th ACM Conference on Recommender Systems, 2023 | 4* | 2023 |
| Complex Item Set Recommendation M Ariannezhad, M Li, S Jullien, M de Rijke SIGIR 2023: 46th international ACM SIGIR Conference on Research and …, 2023 | 3 | 2023 |
| Generate Novel Image Styles using Weighted Hybrid Generative Adversarial Nets M Li, R Xi, M Hou IJCNN 2018: International Joint Conference on Neural Networks, 1-8, 2018 | 3 | 2018 |
| A data-driven method for recognizing automated negotiation strategies M Li, PK Murukannaiah, CM Jonker arXiv preprint arXiv:2107.01496, 2021 | 2 | 2021 |
| Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study Y Liu, M Li, M Ariannezhad, M Mansoury, M Aliannejadi, M deRijke ECIR 2024, 2024 | 1 | 2024 |
| Repetition and Exploration in Offline Reinforcement Learning-based Recommendations M Li, J Huang, M de Rijke DRL4IR@CIKM 2023: 4th Workshop on Deep Reinforcement Learning for …, 2023 | 1 | 2023 |
| Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? M Li, Y Liu, S Jullien, M Ariannezhad, A Yates, M Aliannejadi, M deRijke SIGIR 2024: 47th international ACM SIGIR Conference on Research and …, 2024 | | 2024 |
| Domain Generalization in Time Series Forecasting S Deng, O Sprangers, M Li, S Schelter, M de Rijke ACM Transactions on Knowledge Discovery from Data 18 (5), 1-24, 2024 | | 2024 |
| Repetition and exploration in recommendation M Li University of Amsterdam, 2024 | | 2024 |
| A distributed deep learning method and system based on a data parallel strategy M Li, M Hou, S Zhan, H Dong, H Wang, R Xi, L Dong CN Patent CN109,032,671 B, 2022 | | 2022 |
| The University of Amsterdam at the TREC 2021 Fair Ranking Track GB Ali Vardasbi, S Gupta, M Heuss, P Khandel, M Li, F Sarvi TREC 2021, 2021 | | 2021 |
| Attention-based spatio-temporal model for har usingmultivariate time series R Xi, M Li, D Liu, M Hou EWSN 2019: Proceedings of the 2019 International Conference on Embedded …, 2019 | | 2019 |
Maarten de RijkeUniversity of Amsterdam & ICAI在 uva.nl 的电子邮件经过验证
