Hossein A. Rahmani

Orcid: 0000-0002-2779-4942

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
0
5
10
15
7
4
4
1
1
1
6
5
7
1
3

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems.
Trans. Recomm. Syst., September, 2024

CAPRI: Context-aware point-of-interest recommendation framework.
Softw. Impacts, 2024

JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment.
CoRR, 2024

SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval.
CoRR, 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

Natural Language User Profiles for Transparent and Scrutable Recommendations.
CoRR, 2024

LLM4Eval: Large Language Model for Evaluation in IR.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Synthetic Test Collections for Retrieval Evaluation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

LLMJudge: LLMs for Relevance Judgments.
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

Personalized Beyond-accuracy Calibration in Recommendation.
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

Transparent and Scrutable Recommendations Using Natural Language User Profiles.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Provider Fairness and Beyond-Accuracy Trade-offs in Recommender Systems.
CoRR, 2023

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

Overview of the TREC 2023 Deep Learning Track.
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

A Survey on Asking Clarification Questions Datasets in Conversational Systems.
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

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

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

Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Towards Confidence-aware Calibrated Recommendation.
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

The Unfairness of Popularity Bias in Book Recommendation.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022

2021
Demographic Biases of Crowd Workers in Key Opinion Leaders Finding.
CoRR, 2021

2020
Mining shape of expertise: A novel approach based on convolutional neural network.
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
Comparison of Tumor and Normal Cells Protein-Protein Interaction Network Parameters.
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

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


  Loading...