Mozhdeh Ariannezhad

According to our database, Mozhdeh Ariannezhad authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study.

Yuanna Liu, Ming Li, Mozhdeh Ariannezhad, Masoud Mansoury, Mohammad Aliannejadi, Maarten de Rijke

Proceedings of the Advances in Information Retrieval, 2024

2023

A Next Basket Recommendation Reality Check.

Ming Li, Sami Jullien, Mozhdeh Ariannezhad, Maarten de Rijke

ACM Trans. Inf. Syst., October, 2023

Who Will Purchase This Item Next? Reverse Next Period Recommendation in Grocery Shopping.

Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke

Trans. Recomm. Syst., June, 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

A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping.

Mozhdeh Ariannezhad, Ming Li, Sebastian Schelter, Maarten de Rijke

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Forget Me Now: Fast and Exact Unlearning in Neighborhood-based Recommendation.

Sebastian Schelter, Mozhdeh Ariannezhad, Maarten de Rijke

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Complex Item Set Recommendation.

Mozhdeh Ariannezhad, Ming Li, Sami Jullien, Maarten de Rijke

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping.

Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

GLDQN: Explicitly Parameterized Quantile Reinforcement Learning for Waste Reduction.

Sami Jullien, Mozhdeh Ariannezhad, Paul Groth, Maarten de Rijke

CoRR, 2022

Understanding Financial Information Seeking Behavior from User Interactions with Company Filings.

Mozhdeh Ariannezhad, Mohamed Yahya, Edgar Meij, Sebastian Schelter, Maarten de Rijke

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping.

Mozhdeh Ariannezhad, Sami Jullien, Ming Li, Min Fang, Sebastian Schelter, Maarten de Rijke

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Understanding and Learning from User Behavior for Recommendation in Multi-channel Retail.

Mozhdeh Ariannezhad

Proceedings of the Advances in Information Retrieval, 2022

2021

Understanding Multi-channel Customer Behavior in Retail.

Mozhdeh Ariannezhad, Sami Jullien, Pim Nauts, Min Fang, Sebastian Schelter, Maarten de Rijke

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Cluster-Based Forecasting for Intermittent and Non-intermittent Time Series.

Tom van de Looij, Mozhdeh Ariannezhad

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021

2020

Demand Forecasting in the Presence of Privileged Information.

Mozhdeh Ariannezhad, Sebastian Schelter, Maarten de Rijke

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020

2017

Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic.

Mozhdeh Ariannezhad, Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Negative Feedback in the Language Modeling Framework for Text Recommendation.

Hossein Rahmatizadeh Zagheli, Mozhdeh Ariannezhad, Azadeh Shakery

Proceedings of the Advances in Information Retrieval, 2017

Iterative Estimation of Document Relevance Score for Pseudo-Relevance Feedback.

Mozhdeh Ariannezhad, Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery

Proceedings of the Advances in Information Retrieval, 2017

2016

Building a multi-domain comparable corpus using a learning to rank method.

Razieh Rahimi, Azadeh Shakery, Javid Dadashkarimi, Mozhdeh Ariannezhad, Mostafa Dehghani, Hossein Nasr Esfahani

Nat. Lang. Eng., 2016