Scholar
Masoud Mansoury
Google Scholar ID: TSG6jcMAAAAJ
Assistant Professor, Delft University of Technology
Citations & Impact
Citations
2,069
H-index
17
i10-index
27
Publications
20
Co-authors
36
list available
Publications
Resume (English only)
Academic Achievements
- - 7 August 2025: Workshop paper “Using LLMs to Capture Users’ Temporal Context for Recommendation” accepted at CARS@RecSys
- - 4 August 2025: Two LBR papers “Opening the Black Box: Interpretable Remedies for Popularity Bias in Recommender Systems” and “Mitigating Popularity Bias in Counterfactual Explanations using Large Language Models” accepted at RecSys
- - 11 July 2025: Full paper “RaMen: Multi-Strategy Multi-Modal Learning for Bundle Construction” accepted at ECAI
- - 3 July 2025: Reproducibility paper “A Reproducibility Study of Product-side Fairness in Bundle Recommendation” accepted at RecSys
- - 28 April 2025: Paper “Towards Explainable Temporal User Profiling with LLMs” accepted at Explainable User Models and Personalized Systems (ExUM) workshop at UMAP
- - 23 April 2025: Paper “Towards Carbon Footprint-Aware Recommender Systems for Greener Item Recommendation” accepted at ACM Journal on Recommender Systems (TORS)
- - 18 December 2024: Accepted papers at SURE@RecSys2024 published at CEUR
- - 16 July 2024: Full paper “Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits” accepted at CIKM 2024
- - 30 May 2024: Invited to give a lecture on the topic of recommender system at European Summer School in Information Retrieval (ESSIR) at University of Amsterdam, Amsterdam, Netherlands
- - 24 May 2024: Invited talk in the doctoral consortium at Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain
- - 10 May 2024: LBR paper “Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation” accepted at UMAP 2024
Research Experience
- - Assistant Professor, Multimedia Computing Group, TU Delft
- - Postdoctoral Researcher, Amsterdam Machine Learning Lab (AMLab), University of Amsterdam
- - Member, Elsevier Discovery Lab, working on various aspects of recommendation systems at Elsevier
- - Worked in industry for 5 years on various software engineering projects before starting his Ph.D. program
Education
- - Ph.D. in Computer and Information Science, Eindhoven University of Technology, 2021, Supervisors: Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy
- - M.Sc. in Information Technology (IT), Amirkabir University of Technology, Iran
Background
- - Research Interests: Trustworthy and Explainable Recommender Systems
- - Professional Field: Algorithmic bias, Explainability and Transparency, Robustness
- - Background: Masoud Mansoury is an Assistant Professor in the Multimedia Computing Group (MMC) at Delft University of Technology (TU Delft), the Netherlands. His research mainly focuses on understanding and mitigating unfairness and algorithmic bias in recommender systems.
