Mozhdeh Ariannezhad

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Coauteurs

Maarten de RijkeUniversity of Amsterdam & ICAIAdresse e-mail validée de uva.nl
Ming LiIRLab, University of AmsterdamAdresse e-mail validée de uva.nl
Sami JullienUniversity of AmsterdamAdresse e-mail validée de uva.nl
Sebastian SchelterProfessor at BIFOLD & TU BerlinAdresse e-mail validée de tu-berlin.de
Azadeh ShakeryAssociate Professor, Electrical and Computer Engineering Department, University of TehranAdresse e-mail validée de ut.ac.ir
Min FangShopifyAdresse e-mail validée de shopify.com
Andrew YatesHuman Language Technology Center of Excellence, Johns Hopkins UniversityAdresse e-mail validée de jhu.edu
Hamed ZamaniAssociate Professor of Computer Science, University of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu
Ali Montazeralghaem (Montazer)University of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu
Mohammad AliannejadiAssistant Professor of Computer Science. IRLab, University of AmsterdamAdresse e-mail validée de uva.nl
Yuanna LiuUniversity of AmsterdamAdresse e-mail validée de uva.nl
Paul GrothProfessor, INDE Lab, University of AmsterdamAdresse e-mail validée de uva.nl
Razieh Negin RahimiAssistant Professor, University of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu
Hossein Nasr EsfahaniUniversity of TehranAdresse e-mail validée de ut.ac.ir
Mostafa DehghaniResearch Scientist, Google DeepMindAdresse e-mail validée de google.com
Javid DadashkarimiUniversity of PennsylvaniaAdresse e-mail validée de mgh.harvard.edu
Hossein Rahmatizadeh ZagheliResearch Assistant at University of TehranAdresse e-mail validée de ut.ac.ir
Masoud MansouryAssistant Professor, Delft University of TechnologyAdresse e-mail validée de tudelft.nl
Mohamed YahyaSenior Software Engineer/Research Scientist, Bloomberg, LondonAdresse e-mail validée de bloomberg.net
Edgar MeijBloombergAdresse e-mail validée de bloomberg.net

Suivre

Mozhdeh Ariannezhad

PhD candidate, University of Amsterdam

Adresse e-mail validée de uva.nl

Recommender Systems Information Retrieval


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	60	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	55	2023
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	16	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	16	2017
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	15	2021
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	14	2023
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
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	11	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), 1-32, 2023	9	2023
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	9	2016
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	7	2024
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
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	5	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	5	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	4	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	4	2020
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 de Rijke Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024	3	2024
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
User-oriented recommender systems in retail M Ariannezhad Mozhdeh Ariannezhad, 2023	1	2023

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