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ORCIDMozhdeh Ariannezhad
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Journal Articles
- 2023
[j4]Sami Jullien, Mozhdeh Ariannezhad, Paul Groth, Maarten de Rijke:
A Simulation Environment and Reinforcement Learning Method for Waste Reduction. Trans. Mach. Learn. Res. 2023 (2023)- [j3]Ming Li
, Sami Jullien, Mozhdeh Ariannezhad, Maarten de Rijke:
A Next Basket Recommendation Reality Check. ACM Trans. Inf. Syst. 41(4): 116:1-116:29 (2023) - [j2]Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke:
Who Will Purchase This Item Next? Reverse Next Period Recommendation in Grocery Shopping. Trans. Recomm. Syst. 1(2): 1-32 (2023) - 2016
- [j1]Razieh Rahimi, Azadeh Shakery, Javid Dadashkarimi, Mozhdeh Ariannezhad, Mostafa Dehghani, Hossein Nasr Esfahani:
Building a multi-domain comparable corpus using a learning to rank method. Nat. Lang. Eng. 22(4): 627-653 (2016)
Conference and Workshop Papers
- 2024
- [c15]Yuanna Liu, Ming Li, Mozhdeh Ariannezhad, Masoud Mansoury, Mohammad Aliannejadi, Maarten de Rijke:
Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study. ECIR (4) 2024: 210-225 - [c14]Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Andrew Yates, Mohammad Aliannejadi, Maarten de Rijke:
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? SIGIR 2024: 924-934 - 2023
- [c13]Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke:
Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping. RecSys 2023: 35-46 - [c12]Sebastian Schelter, Mozhdeh Ariannezhad, Maarten de Rijke:
Forget Me Now: Fast and Exact Unlearning in Neighborhood-based Recommendation. SIGIR 2023: 2011-2015 - [c11]Mozhdeh Ariannezhad, Ming Li, Sami Jullien, Maarten de Rijke:
Complex Item Set Recommendation. SIGIR 2023: 3444-3447 - [c10]Mozhdeh Ariannezhad, Ming Li, Sebastian Schelter, Maarten de Rijke:
A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping. WSDM 2023: 87-95 - 2022
- [c9]Mozhdeh Ariannezhad:
Understanding and Learning from User Behavior for Recommendation in Multi-channel Retail. ECIR (2) 2022: 455-462 - [c8]Mozhdeh Ariannezhad, Sami Jullien, Ming Li, Min Fang, Sebastian Schelter, Maarten de Rijke:
ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping. SIGIR 2022: 1240-1250 - [c7]Mozhdeh Ariannezhad, Mohamed Yahya, Edgar Meij, Sebastian Schelter, Maarten de Rijke:
Understanding Financial Information Seeking Behavior from User Interactions with Company Filings. WWW (Companion Volume) 2022: 586-594 - 2021
- [c6]Tom van de Looij, Mozhdeh Ariannezhad:
Cluster-Based Forecasting for Intermittent and Non-intermittent Time Series. AALTD@ECML/PKDD 2021: 139-154 - [c5]Mozhdeh Ariannezhad, Sami Jullien, Pim Nauts, Min Fang, Sebastian Schelter, Maarten de Rijke:
Understanding Multi-channel Customer Behavior in Retail. CIKM 2021: 2867-2871 - 2020
- [c4]Mozhdeh Ariannezhad, Sebastian Schelter, Maarten de Rijke:
Demand Forecasting in the Presence of Privileged Information. AALTD@PKDD/ECML 2020: 46-62 - 2017
- [c3]Hossein Rahmatizadeh Zagheli, Mozhdeh Ariannezhad, Azadeh Shakery:
Negative Feedback in the Language Modeling Framework for Text Recommendation. ECIR 2017: 662-668 - [c2]Mozhdeh Ariannezhad, Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery:
Iterative Estimation of Document Relevance Score for Pseudo-Relevance Feedback. ECIR 2017: 676-683 - [c1]Mozhdeh Ariannezhad, Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery:
Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic. SIGIR 2017: 1201-1204
Informal and Other Publications
- 2024
- [i4]Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Mohammad Aliannejadi, Andrew Yates, Maarten de Rijke:
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? CoRR abs/2405.01143 (2024) - 2023
- [i3]Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke:
Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping. CoRR abs/2308.01308 (2023) - 2022
- [i2]Sami Jullien, Mozhdeh Ariannezhad, Paul Groth, Maarten de Rijke:
GLDQN: Explicitly Parameterized Quantile Reinforcement Learning for Waste Reduction. CoRR abs/2205.15455 (2022) - 2021
- [i1]Ming Li, Sami Jullien, Mozhdeh Ariannezhad, Maarten de Rijke:
A Next Basket Recommendation Reality Check. CoRR abs/2109.14233 (2021)
Coauthor Index
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