Hossein A. Rahmani
Orcid: 0000-0002-2779-4942Affiliations:
- University College London, UK
- University of Zanjan, Computer Engineering Department, Iran (former)
According to our database1,
Hossein A. Rahmani
authored at least 40 papers
between 2019 and 2024.
Collaborative distances:
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2024
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems.
Trans. Recomm. Syst., September, 2024
Softw. Impacts, 2024
Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024.
CoRR, 2024
Understanding the Role of User Profile in the Personalization of Large Language Models.
CoRR, 2024
CoRR, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of The First Workshop on Large Language Models for Evaluation in Information Retrieval (LLM4Eval 2024) co-located with 10th International Conference on Online Publishing (SIGIR 2024), 2024
Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024
Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
CoRR, 2023
Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues.
CoRR, 2023
When and What to Ask Through World States and Text Instructions: IGLU NLP Challenge Solution.
CoRR, 2023
Proceedings of the Thirty-Second Text REtrieval Conference Proceedings (TREC 2023), 2023
LLM-based Retrieval and Generation Pipelines for TREC Interactive Knowledge Assistance Track (iKAT) 2023.
Proceedings of the Thirty-Second Text REtrieval Conference Proceedings (TREC 2023), 2023
Quantifying the Bias of Transformer-Based Language Models for African American English in Masked Language Modeling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation.
ACM Trans. Inf. Syst., 2022
Softw. Impacts, 2022
Leveraging social influence based on users activity centers for point-of-interest recommendation.
Inf. Process. Manag., 2022
The role of context fusion on accuracy, beyond-accuracy, and fairness of point-of-interest recommendation systems.
Expert Syst. Appl., 2022
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022
2021
2020
Inf. Process. Manag., 2020
Joint Geographical and Temporal Modeling Based on Matrix Factorization for Point-of-Interest Recommendation.
Proceedings of the Advances in Information Retrieval, 2020
2019
CoRR, 2019
A Regression Approach to Movie Rating Prediction Using Multimedia Content and Metadata.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019
LGLMF: Local Geographical Based Logistic Matrix Factorization Model for POI Recommendation.
Proceedings of the Information Retrieval Technology, 2019