Building a multi-domain comparable corpus using a learning to rank method. - Razieh Rahimi; Azadeh Shakery; Javid Dadashkarimi; Mozhdeh Ariannezhad; Mostafa Dehghani 001; Hossein Nasr Esfahani (Nat. Lang. Eng., 2016)

Iterative Estimation of Document Relevance Score for Pseudo-Relevance Feedback. - Mozhdeh Ariannezhad; Ali Montazeralghaem; Hamed Zamani; Azadeh Shakery (ECIR, 2017)

Negative Feedback in the Language Modeling Framework for Text Recommendation. - Hossein Rahmatizadeh Zagheli; Mozhdeh Ariannezhad; Azadeh Shakery (ECIR, 2017)

Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic. - Mozhdeh Ariannezhad; Ali Montazeralghaem; Hamed Zamani; Azadeh Shakery (SIGIR, 2017)

Demand Forecasting in the Presence of Privileged Information. - Mozhdeh Ariannezhad; Sebastian Schelter; Maarten de Rijke (AALTD@PKDD/ECML, 2020)

Cluster-Based Forecasting for Intermittent and Non-intermittent Time Series. - Tom van de Looij; Mozhdeh Ariannezhad (AALTD@ECML/PKDD, 2021)

Understanding Multi-channel Customer Behavior in Retail. - Mozhdeh Ariannezhad; Sami Jullien; Pim Nauts; Min Fang; Sebastian Schelter; Maarten de Rijke (CIKM, 2021)

Understanding and Learning from User Behavior for Recommendation in Multi-channel Retail. - Mozhdeh Ariannezhad (ECIR (2), 2022)

ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping. - Mozhdeh Ariannezhad; Sami Jullien; Ming Li 068; Min Fang; Sebastian Schelter; Maarten de Rijke (SIGIR, 2022)

Understanding Financial Information Seeking Behavior from User Interactions with Company Filings. - Mozhdeh Ariannezhad; Mohamed Yahya 001; Edgar Meij; Sebastian Schelter; Maarten de Rijke (WWW (Companion Volume), 2022)

GLDQN: Explicitly Parameterized Quantile Reinforcement Learning for Waste Reduction. - Sami Jullien; Mozhdeh Ariannezhad; Paul Groth; Maarten de Rijke (CoRR, 2022)

Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping. - Ming Li 068; Mozhdeh Ariannezhad; Andrew Yates; Maarten de Rijke (RecSys, 2023)

Complex Item Set Recommendation. - Mozhdeh Ariannezhad; Ming Li 068; Sami Jullien; Maarten de Rijke (SIGIR, 2023)

Forget Me Now: Fast and Exact Unlearning in Neighborhood-based Recommendation. - Sebastian Schelter; Mozhdeh Ariannezhad; Maarten de Rijke (SIGIR, 2023)

A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping. - Mozhdeh Ariannezhad; Ming Li 068; Sebastian Schelter; Maarten de Rijke (WSDM, 2023)

A Simulation Environment and Reinforcement Learning Method for Waste Reduction. - Sami Jullien; Mozhdeh Ariannezhad; Paul Groth; Maarten de Rijke (Trans. Mach. Learn. Res., 2023)

Who Will Purchase This Item Next? Reverse Next Period Recommendation in Grocery Shopping. - Ming Li 068; Mozhdeh Ariannezhad; Andrew Yates; Maarten de Rijke (Trans. Recomm. Syst., 2023)

A Next Basket Recommendation Reality Check. - Ming Li 068; Sami Jullien; Mozhdeh Ariannezhad; Maarten de Rijke (ACM Trans. Inf. Syst., 2023)

Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study. - Yuanna Liu; Ming Li 068; Mozhdeh Ariannezhad; Masoud Mansoury; Mohammad Aliannejadi; Maarten de Rijke (ECIR (4), 2024)

Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? - Ming Li 068; Yuanna Liu; Sami Jullien; Mozhdeh Ariannezhad; Andrew Yates; Mohammad Aliannejadi; Maarten de Rijke (SIGIR, 2024)