Hossein A. Rahmani

According to our database, Hossein A. Rahmani authored at least 29 papers between 2019 and 2024.

Collaborative distances:

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

2024

CAPRI: Context-aware point-of-interest recommendation framework.

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

Softw. Impacts, 2024

Natural Language User Profiles for Transparent and Scrutable Recommendations.

Jerome Ramos, Hossein A. Rahmani, Xi Wang, Xiao Fu, Aldo Lipani

CoRR, 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

Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues.

Yue Feng, Hossein A. Rahmani, Aldo Lipani, Emine Yilmaz

CoRR, 2023

When and What to Ask Through World States and Text Instructions: IGLU NLP Challenge Solution.

Zhengxiang Shi, Jerome Ramos, To Eun Kim, Xi Wang, Hossein A. Rahmani, Aldo Lipani

CoRR, 2023

Quantifying the Bias of Transformer-Based Language Models for African American English in Masked Language Modeling.

Flavia Salutari, Jerome Ramos, Hossein A. Rahmani, Leonardo Linguaglossa, Aldo Lipani

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation.

Xi Wang, Hossein A. Rahmani, Jiqun Liu, Emine Yilmaz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Survey on Asking Clarification Questions Datasets in Conversational Systems.

Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani

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.

Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani

ACM Trans. Inf. Syst., 2022

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

Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo

Softw. Impacts, 2022

Leveraging social influence based on users activity centers for point-of-interest recommendation.

Kosar Seyedhoseinzadeh, Hossein A. Rahmani, Mohsen Afsharchi, Mohammad Aliannejadi

Inf. Process. Manag., 2022

The role of context fusion on accuracy, beyond-accuracy, and fairness of point-of-interest recommendation systems.

Hossein A. Rahmani, Yashar Deldjoo, Tommaso Di Noia

Expert Syst. Appl., 2022

ViralBERT: A User Focused BERT-Based Approach to Virality Prediction.

Rikaz Rameez, Hossein A. Rahmani, Emine Yilmaz

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 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

2021

Demographic Biases of Crowd Workers in Key Opinion Leaders Finding.

Hossein A. Rahmani, Jie Yang

CoRR, 2021

2020

Mining shape of expertise: A novel approach based on convolutional neural network.

Mahdi Dehghan, Hossein A. Rahmani, Ahmad Ali Abin, Viet-Vu Vu

Inf. Process. Manag., 2020

Joint Geographical and Temporal Modeling Based on Matrix Factorization for Point-of-Interest Recommendation.

Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani

Proceedings of the Advances in Information Retrieval, 2020

2019

Comparison of Tumor and Normal Cells Protein-Protein Interaction Network Parameters.

Hossein A. Rahmani, Ali Reza Khanteymoori, Mohammad Hossein Olyaee

CoRR, 2019

A Regression Approach to Movie Rating Prediction Using Multimedia Content and Metadata.

Hossein A. Rahmani, Yashar Deldjoo, Markus Schedl

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Category-Aware Location Embedding for Point-of-Interest Recommendation.

Hossein A. Rahmani, Mohammad Aliannejadi, Rasoul Mirzaei Zadeh, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani

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.

Hossein A. Rahmani, Mohammad Aliannejadi, Sajad Ahmadian, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani

Proceedings of the Information Retrieval Technology, 2019