Hossein A. Rahmani

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 51

Top Topics

Matrix Factorization

Rating Prediction

Top Venues

Inf. Process. Manag.

Publications

Ali Tourani, Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo
CAPRI: Context-aware point-of-interest recommendation framework. Softw. Impacts 19 (2024)
Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos
Synthetic Test Collections for Retrieval Evaluation. SIGIR (2024)
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems. Trans. Recomm. Syst. 2 (3) (2024)
Jerome Ramos, Hossein A. Rahmani, Xi Wang, Xiao Fu, Aldo Lipani
Natural Language User Profiles for Transparent and Scrutable Recommendations. CoRR (2024)
Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
LLM4Eval: Large Language Model for Evaluation in IR. SIGIR (2024)
Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos
Synthetic Test Collections for Retrieval Evaluation. CoRR (2024)
Hossein A. Rahmani, Xi Wang, Mohammad Aliannejadi, Mohammadmehdi Naghiaei, Emine Yilmaz
Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness. EACL (Findings) (2024)
Jerome Ramos, Hossein A. Rahmani, Xi Wang, Xiao Fu, Aldo Lipani
Transparent and Scrutable Recommendations Using Natural Language User Profiles. ACL (1) (2024)
Hossein A. Rahmani, Xi Wang, Mohammad Aliannejadi, Mohammadmehdi Naghiaei, Emine Yilmaz
Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness. CoRR (2024)
Bin Wu, Zhengyan Shi, Hossein A. Rahmani, Varsha Ramineni, Emine Yilmaz
Understanding the Role of User Profile in the Personalization of Large Language Models. CoRR (2024)
Mohammadmehdi Naghiaei, Mahdi Dehghan, Hossein A. Rahmani, Javad Azizi, Mohammad Aliannejadi
Personalized Beyond-accuracy Calibration in Recommendation. ICTIR (2024)
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems. CoRR (2024)
Yue Feng, Hossein A. Rahmani, Aldo Lipani, Emine Yilmaz
Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues. CoRR (2023)
Flavia Salutari, Jerome Ramos, Hossein A. Rahmani, Leonardo Linguaglossa, Aldo Lipani
Quantifying the Bias of Transformer-Based Language Models for African American English in Masked Language Modeling. PAKDD (1) (2023)
Saeedeh Karimi, Hossein A. Rahmani, Mohammadmehdi Naghiaei, Leila Safari
Provider Fairness and Beyond-Accuracy Trade-offs in Recommender Systems. CoRR (2023)
Xi Wang, Hossein A. Rahmani, Jiqun Liu, Emine Yilmaz
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation. CoRR (2023)
Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani
A Survey on Asking Clarification Questions Datasets in Conversational Systems. CoRR (2023)
Zhengxiang Shi, Jerome Ramos, To Eun Kim, Xi Wang, Hossein A. Rahmani, Aldo Lipani
When and What to Ask Through World States and Text Instructions: IGLU NLP Challenge Solution. CoRR (2023)
Ali Tourani, Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo
CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework. CoRR (2023)
Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani
A Survey on Asking Clarification Questions Datasets in Conversational Systems. ACL (1) (2023)
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo
Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation. RecSys (2022)
Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation. CoRR (2022)
Hossein A. Rahmani, Yashar Deldjoo, Ali Tourani, Mohammadmehdi Naghiaei
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation. CoRR (2022)
Rikaz Rameez, Hossein A. Rahmani, Emine Yilmaz
ViralBERT: A User Focused BERT-Based Approach to Virality Prediction. UMAP (Adjunct Publication) (2022)
Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo
PyCPFair: A framework for consumer and producer fairness in recommender systems. Softw. Impacts 13 (2022)
Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mahdi Dehghan
The Unfairness of Popularity Bias in Book Recommendation. BIAS (2022)
Rikaz Rameez, Hossein A. Rahmani, Emine Yilmaz
ViralBERT: A User Focused BERT-Based Approach to Virality Prediction. CoRR (2022)
Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mohammad Aliannejadi, Nasim Sonboli
Towards Confidence-aware Calibrated Recommendation. CoRR (2022)
Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems. SIGIR (2022)
Hossein A. Rahmani, Yashar Deldjoo, Tommaso Di Noia
The role of context fusion on accuracy, beyond-accuracy, and fairness of point-of-interest recommendation systems. Expert Syst. Appl. 205 (2022)
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo
Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation. CoRR (2022)
Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems. CoRR (2022)
Hossein A. Rahmani, Yashar Deldjoo, Ali Tourani, Mohammadmehdi Naghiaei
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation. BIAS (2022)
Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mahdi Dehghan
The Unfairness of Popularity Bias in Book Recommendation. CoRR (2022)
Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation. ACM Trans. Inf. Syst. 40 (4) (2022)
Kosar Seyedhoseinzadeh, Hossein A. Rahmani, Mohsen Afsharchi, Mohammad Aliannejadi
Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation. CoRR (2022)
Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mohammad Aliannejadi, Nasim Sonboli
Towards Confidence-aware Calibrated Recommendation. CIKM (2022)
Kosar Seyedhoseinzadeh, Hossein A. Rahmani, Mohsen Afsharchi, Mohammad Aliannejadi
Leveraging social influence based on users activity centers for point-of-interest recommendation. Inf. Process. Manag. 59 (2) (2022)
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan, Mohammad Aliannejadi
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems. SIGIR (2022)
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan, Mohammad Aliannejadi
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems. CoRR (2022)
Hossein A. Rahmani, Jie Yang
Demographic Biases of Crowd Workers in Key Opinion Leaders Finding. CoRR (2021)
Mahdi Dehghan, Hossein A. Rahmani, Ahmad Ali Abin, Viet-Vu Vu
Mining Shape of Expertise: A Novel Approach Based on Convolutional Neural Network. CoRR (2020)
Mahdi Dehghan, Hossein A. Rahmani, Ahmad Ali Abin, Viet-Vu Vu
Mining shape of expertise: A novel approach based on convolutional neural network. Inf. Process. Manag. 57 (4) (2020)
Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani
Joint Geographical and Temporal Modeling Based on Matrix Factorization for Point-of-Interest Recommendation. ECIR (1) (2020)
Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani
Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation. CoRR (2020)
Hossein A. Rahmani, Mohammad Aliannejadi, Rasoul Mirzaei Zadeh, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani
Category-Aware Location Embedding for Point-of-Interest Recommendation. CoRR (2019)
Hossein A. Rahmani, Mohammad Aliannejadi, Sajad Ahmadian, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani
LGLMF: Local Geographical Based Logistic Matrix Factorization Model for POI Recommendation. AIRS (2019)
Hossein A. Rahmani, Mohammad Aliannejadi, Sajad Ahmadian, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani
LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation. CoRR (2019)
Hossein A. Rahmani, Ali Reza Khanteymoori, Mohammad Hossein Olyaee
Comparison of Tumor and Normal Cells Protein-Protein Interaction Network Parameters. CoRR (2019)
Hossein A. Rahmani, Yashar Deldjoo, Markus Schedl
A Regression Approach to Movie Rating Prediction Using Multimedia Content and Metadata. MediaEval (2019)
Hossein A. Rahmani, Mohammad Aliannejadi, Rasoul Mirzaei Zadeh, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani
Category-Aware Location Embedding for Point-of-Interest Recommendation. ICTIR (2019)