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 Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 39 | 2022 |
A next basket recommendation reality check M Li, S Jullien, M Ariannezhad, M de Rijke ACM Transactions on Information Systems 41 (4), 1-29, 2023 | 35 | 2023 |
Improving retrieval performance for verbose queries via axiomatic analysis of term discrimination heuristic M Ariannezhad, A Montazeralghaem, H Zamani, A Shakery Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 14 | 2017 |
Iterative estimation of document relevance score for pseudo-relevance feedback M Ariannezhad, A Montazeralghaem, H Zamani, A Shakery European Conference on Information Retrieval, 676-683, 2017 | 12 | 2017 |
A personalized neighborhood-based model for within-basket recommendation in grocery shopping M Ariannezhad, M Li, S Schelter, M De Rijke Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 11 | 2023 |
Understanding multi-channel customer behavior in retail M Ariannezhad, S Jullien, P Nauts, M Fang, S Schelter, M de Rijke Proceedings of the 30th ACM international conference on information …, 2021 | 9 | 2021 |
Building a multi-domain comparable corpus using a learning to rank method R Rahimi, A Shakery, J Dadashkarimi, M Ariannezhad, M Dehghani, ... Natural Language Engineering 22 (4), 627-653, 2016 | 8 | 2016 |
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), 1-32, 2023 | 7 | 2023 |
Negative feedback in the language modeling framework for text recommendation HR Zagheli, M Ariannezhad, A Shakery Advances in Information Retrieval: 39th European Conference on IR Research …, 2017 | 7 | 2017 |
Masked and swapped sequence modeling for next novel basket recommendation in grocery shopping M Li, M Ariannezhad, A Yates, M de Rijke Proceedings of the 17th ACM Conference on Recommender Systems, 35-46, 2023 | 5 | 2023 |
Forget me now: Fast and exact unlearning in neighborhood-based recommendation S Schelter, M Ariannezhad, M de Rijke Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 4 | 2023 |
Complex item set recommendation M Ariannezhad, M Li, S Jullien, M de Rijke Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 3 | 2023 |
A Simulation Environment and Reinforcement Learning Method for Waste Reduction S Jullien, M Ariannezhad, P Groth, M de Rijke Transactions on Machine Learning Research, 2023 | 3 | 2023 |
Understanding Financial Information Seeking Behavior from User Interactions with Company Filings M Ariannezhad, M Yahya, E Meij, S Schelter, M de Rijke Companion Proceedings of the Web Conference 2022, 586-594, 2022 | 2 | 2022 |
Understanding and Learning from User Behavior for Recommendation in Multi-channel Retail M Ariannezhad European Conference on Information Retrieval, 455-462, 2022 | 2 | 2022 |
GLDQN: Explicitly Parameterized Quantile Reinforcement Learning for Waste Reduction S Jullien, M Ariannezhad, P Groth, M de Rijke arXiv preprint arXiv:2205.15455, 2022 | 2 | 2022 |
Demand forecasting in the presence of privileged information M Ariannezhad, S Schelter, M de Rijke Advanced Analytics and Learning on Temporal Data: 5th ECML PKDD Workshop …, 2020 | 2 | 2020 |
Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study Y Liu, M Li, M Ariannezhad, M Mansoury, M Aliannejadi, M de Rijke European Conference on Information Retrieval, 210-225, 2024 | 1 | 2024 |
Cluster-Based Forecasting for Intermittent and Non-intermittent Time Series T Looij, M Ariannezhad Advanced Analytics and Learning on Temporal Data: 6th ECML PKDD Workshop …, 2021 | 1 | 2021 |
Poseidon Team Description Paper RoboCup 2013, Eindhoven A Afzal, P Alizadeh, MA Nezhad, K Ghaffari, G Hasanpour, K Jahedi, ... RoboCup, 2013 | 1 | 2013 |