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ORCIDHossein A. Rahmani
Person information
- affiliation: University College London, UK
- affiliation (former): University of Zanjan, Computer Engineering Department, Iran
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Journal Articles
- 2024
[j7]Ali Tourani, Hossein A. Rahmani
, Mohammadmehdi Naghiaei, Yashar Deldjoo:
CAPRI: Context-aware point-of-interest recommendation framework. Softw. Impacts 19: 100606 (2024)- [j6]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): 19:1-19:24 (2024) - 2022
- [j5]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: 117700 (2022) - [j4]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): 102858 (2022) - [j3]Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo:
PyCPFair: A framework for consumer and producer fairness in recommender systems. Softw. Impacts 13: 100382 (2022) - [j2]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): 88:1-88:35 (2022) - 2020
- [j1]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): 102239 (2020)
Conference and Workshop Papers
- 2024
- [c22]Jerome Ramos, Hossein A. Rahmani, Xi Wang, Xiao Fu, Aldo Lipani:
Transparent and Scrutable Recommendations Using Natural Language User Profiles. ACL (1) 2024: 13971-13984 - [c21]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: 1266-1277 - [c20]Mohammadmehdi Naghiaei, Mahdi Dehghan, Hossein A. Rahmani, Javad Azizi, Mohammad Aliannejadi:
Personalized Beyond-accuracy Calibration in Recommendation. ICTIR 2024: 107-116 - [c19]Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas, Charles L. A. Clarke, Mohammad Aliannejadi, Clemencia Siro, Guglielmo Faggioli:
LLMJudge: LLMs for Relevance Judgments. LLM4Eval@SIGIR 2024: 1-3 - [c18]Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos:
Synthetic Test Collections for Retrieval Evaluation. SIGIR 2024: 2647-2651 - [c17]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: 3040-3043 - 2023
- [c16]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: 2698-2716 - [c15]Xi Wang, Hossein A. Rahmani, Jiqun Liu, Emine Yilmaz:
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation. EMNLP (Findings) 2023: 3609-3622 - [c14]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: 532-543 - [c13]Zahra Abbasiantaeb, Chuan Meng, David Rau, Antonis Krasakis, Hossein A. Rahmani, Mohammad Aliannejadi:
LLM-based Retrieval and Generation Pipelines for TREC Interactive Knowledge Assistance Track (iKAT) 2023. TREC 2023 - [c12]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Hossein A. Rahmani, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff:
Overview of the TREC 2023 Deep Learning Track. TREC 2023 - 2022
- [c11]Hossein A. Rahmani, Yashar Deldjoo, Ali Tourani, Mohammadmehdi Naghiaei:
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation. BIAS 2022: 56-68 - [c10]Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mahdi Dehghan:
The Unfairness of Popularity Bias in Book Recommendation. BIAS 2022: 69-81 - [c9]Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mohammad Aliannejadi, Nasim Sonboli:
Towards Confidence-aware Calibrated Recommendation. CIKM 2022: 4344-4348 - [c8]Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo:
Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation. RecSys 2022: 598-603 - [c7]Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo:
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems. SIGIR 2022: 770-779 - [c6]Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan, Mohammad Aliannejadi:
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems. SIGIR 2022: 2755-2764 - [c5]Rikaz Rameez, Hossein A. Rahmani, Emine Yilmaz:
ViralBERT: A User Focused BERT-Based Approach to Virality Prediction. UMAP (Adjunct Publication) 2022: 85-89 - 2020
- [c4]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: 205-219 - 2019
- [c3]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: 66-78 - [c2]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: 173-176 - [c1]Hossein A. Rahmani, Yashar Deldjoo, Markus Schedl:
A Regression Approach to Movie Rating Prediction Using Multimedia Content and Metadata. MediaEval 2019
Editorship
- 2024
- [e1]Clemencia Siro, Mohammad Aliannejadi, Hossein A. Rahmani, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz:
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), Washington D.C., USA, July 18, 2024. CEUR Workshop Proceedings 3752, CEUR-WS.org 2024 [contents]
Informal and Other Publications
- 2024
- [i30]Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo:
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems. CoRR abs/2402.00485 (2024) - [i29]Hossein A. Rahmani, Xi Wang, Mohammad Aliannejadi, Mohammadmehdi Naghiaei, Emine Yilmaz:
Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness. CoRR abs/2402.01934 (2024) - [i28]Jerome Ramos, Hossein A. Rahmani, Xi Wang, Xiao Fu, Aldo Lipani:
Natural Language User Profiles for Transparent and Scrutable Recommendations. CoRR abs/2402.05810 (2024) - [i27]Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos:
Synthetic Test Collections for Retrieval Evaluation. CoRR abs/2405.07767 (2024) - [i26]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 abs/2406.17803 (2024) - [i25]Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz:
Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024. CoRR abs/2408.05388 (2024) - [i24]Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas, Charles L. A. Clarke, Mohammad Aliannejadi, Clemencia Siro, Guglielmo Faggioli:
LLMJudge: LLMs for Relevance Judgments. CoRR abs/2408.08896 (2024) - [i23]Hossein A. Rahmani, Xi Wang, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas:
SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval. CoRR abs/2408.16312 (2024) - [i22]Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra:
JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment. CoRR abs/2412.13268 (2024) - 2023
- [i21]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 abs/2305.05754 (2023) - [i20]Yue Feng, Hossein A. Rahmani, Aldo Lipani, Emine Yilmaz:
Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues. CoRR abs/2305.13690 (2023) - [i19]Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani:
A Survey on Asking Clarification Questions Datasets in Conversational Systems. CoRR abs/2305.15933 (2023) - [i18]Ali Tourani, Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo:
CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework. CoRR abs/2306.11395 (2023) - [i17]Saeedeh Karimi, Hossein A. Rahmani, Mohammadmehdi Naghiaei, Leila Safari:
Provider Fairness and Beyond-Accuracy Trade-offs in Recommender Systems. CoRR abs/2309.04250 (2023) - [i16]Xi Wang, Hossein A. Rahmani, Jiqun Liu, Emine Yilmaz:
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation. CoRR abs/2310.16738 (2023) - 2022
- [i15]Kosar Seyedhoseinzadeh, Hossein A. Rahmani, Mohsen Afsharchi, Mohammad Aliannejadi:
Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation. CoRR abs/2201.03450 (2022) - [i14]Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani:
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation. CoRR abs/2201.08150 (2022) - [i13]Hossein A. Rahmani, Yashar Deldjoo, Ali Tourani, Mohammadmehdi Naghiaei:
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation. CoRR abs/2202.13307 (2022) - [i12]Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mahdi Dehghan:
The Unfairness of Popularity Bias in Book Recommendation. CoRR abs/2202.13446 (2022) - [i11]Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo:
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems. CoRR abs/2204.08085 (2022) - [i10]Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan, Mohammad Aliannejadi:
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems. CoRR abs/2205.08289 (2022) - [i9]Rikaz Rameez, Hossein A. Rahmani, Emine Yilmaz:
ViralBERT: A User Focused BERT-Based Approach to Virality Prediction. CoRR abs/2206.10298 (2022) - [i8]Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo:
Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation. CoRR abs/2207.11609 (2022) - [i7]Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mohammad Aliannejadi, Nasim Sonboli:
Towards Confidence-aware Calibrated Recommendation. CoRR abs/2208.10192 (2022) - 2021
- [i6]Hossein A. Rahmani, Jie Yang:
Demographic Biases of Crowd Workers in Key Opinion Leaders Finding. CoRR abs/2110.09248 (2021) - 2020
- [i5]Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani:
Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation. CoRR abs/2001.08961 (2020) - [i4]Mahdi Dehghan, Hossein A. Rahmani, Ahmad Ali Abin, Viet-Vu Vu:
Mining Shape of Expertise: A Novel Approach Based on Convolutional Neural Network. CoRR abs/2004.02184 (2020) - 2019
- [i3]Hossein A. Rahmani, Ali Reza Khanteymoori, Mohammad Hossein Olyaee:
Comparison of Tumor and Normal Cells Protein-Protein Interaction Network Parameters. CoRR abs/1903.07537 (2019) - [i2]Hossein A. Rahmani, Mohammad Aliannejadi, Rasoul Mirzaei Zadeh, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani:
Category-Aware Location Embedding for Point-of-Interest Recommendation. CoRR abs/1907.13376 (2019) - [i1]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 abs/1909.06667 (2019)
Coauthor Index
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