Mohammadmehdi Naghiaei

According to our database, Mohammadmehdi Naghiaei authored at least 11 papers between 2022 and 2024.

Collaborative distances:

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

2024

A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems.

Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo

CoRR, 2024

Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness.

Hossein A. Rahmani, Xi Wang, Mohammad Aliannejadi, Mohammadmehdi Naghiaei, Emine Yilmaz

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Provider Fairness and Beyond-Accuracy Trade-offs in Recommender Systems.

Saeedeh Karimi, Hossein A. Rahmani, Mohammadmehdi Naghiaei, Leila Safari

CoRR, 2023

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework.

Ali Tourani, Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo

CoRR, 2023

2022

PyCPFair: A framework for consumer and producer fairness in recommender systems.

Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo

Softw. Impacts, 2022

Experiments on Generalizability of User-Oriented Fairness in Recommender Systems.

Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan, Mohammad Aliannejadi

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.

Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo

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

Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation.

Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Towards Confidence-aware Calibrated Recommendation.

Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mohammad Aliannejadi, Nasim Sonboli

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.

Hossein A. Rahmani, Yashar Deldjoo, Ali Tourani, Mohammadmehdi Naghiaei

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022

The Unfairness of Popularity Bias in Book Recommendation.

Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mahdi Dehghan

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022