Masoud Mansoury

81 papers A* 2A 17Misc 1Journal 42Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part I ECIR (1) Ricardo Campos, Adam Jatowt, Yanyan Lan, Mohammad Aliannejadi, Christine Bauer, Sean MacAvaney, Avishek Anand, Zhaochun Ren, Suzan Verberne, Nan Bai, Masoud Mansoury
2026	—	`ed.`	Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part II ECIR (2) Ricardo Campos, Adam Jatowt, Yanyan Lan, Mohammad Aliannejadi, Christine Bauer, Sean MacAvaney, Avishek Anand, Zhaochun Ren, Suzan Verberne, Nan Bai, Masoud Mansoury
2026	—	`ed.`	Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part III ECIR (3) Ricardo Campos, Adam Jatowt, Yanyan Lan, Mohammad Aliannejadi, Christine Bauer, Sean MacAvaney, Avishek Anand, Zhaochun Ren, Suzan Verberne, Nan Bai, Masoud Mansoury
2026	—	`ed.`	Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part IV ECIR (4) Ricardo Campos, Adam Jatowt, Yanyan Lan, Mohammad Aliannejadi, Christine Bauer, Sean MacAvaney, Avishek Anand, Zhaochun Ren, Suzan Verberne, Nan Bai, Masoud Mansoury
2026	A*	`conf`	From Insight to Intervention: Interpretable Neuron Steering for Controlling Popularity Bias in Recommender Systems. WWW Parviz Ahmadov, Masoud Mansoury
2026	J	`jnl`	From Insight to Intervention: Interpretable Neuron Steering for Controlling Popularity Bias in Recommender Systems. CoRR Parviz Ahmadov, Masoud Mansoury
2026	—	`conf`	Joint Modeling of Candidate and Recruiter Preferences for Fair Two-Sided Job Matching. ECIR (3) Clara Rus, Masoud Mansoury, Andrew Yates, Maarten de Rijke
2026	J	`jnl`	The Unfairness of Multifactorial Bias in Recommendation. CoRR Masoud Mansoury, Jin Huang, Mykola Pechenizkiy, Herke van Hoof, Maarten de Rijke
2026	J	`jnl`	Towards Carbon Footprint-Aware Recommender Systems for Greener Item Recommendation. Trans. Recomm. Syst. Raoul Kalisvaart, Masoud Mansoury, Alan Hanjalic, Elvin Isufi
2025	A	`conf`	A Reproducibility Study of Product-side Fairness in Bundle Recommendation. RecSys Huy-Son Nguyen, Yuanna Liu, Masoud Mansoury, Mohammad Aliannejadi, Alan Hanjalic, Maarten de Rijke
2025	J	`jnl`	A Reproducibility Study of Product-side Fairness in Bundle Recommendation. CoRR Huy-Son Nguyen, Yuanna Liu, Masoud Mansoury, Mohammad Alian Nejadi, Alan Hanjalic, Maarten de Rijke
2025	—	`conf`	Effectiveness of LLMs in Temporal User Profiling for Recommendation. ICDM (Workshops) Milad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher
2025	J	`jnl`	Effectiveness of LLMs in Temporal User Profiling for Recommendation. CoRR Milad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher
2025	J	`jnl`	Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints. CoRR Daniel Daza, Alberto Bernardi, Luca Costabello, Christophe Guéret, Masoud Mansoury, Michael Cochez, Martijn Schut
2025	A	`conf`	Mitigating Popularity Bias in Counterfactual Explanations using Large Language Models. RecSys Arjan Hasami, Masoud Mansoury
2025	J	`jnl`	Mitigating Popularity Bias in Counterfactual Explanations using Large Language Models. CoRR Arjan Hasami, Masoud Mansoury
2025	A	`conf`	Opening the Black Box: Interpretable Remedies for Popularity Bias in Recommender Systems. RecSys Parviz Ahmadov, Masoud Mansoury
2025	J	`jnl`	Opening the Black Box: Interpretable Remedies for Popularity Bias in Recommender Systems. CoRR Parviz Ahmadov, Masoud Mansoury
2025	A	`conf`	RaMen: Multi-Strategy Multi-Modal Learning for Bundle Construction. ECAI Huy-Son Nguyen, Quang-Huy Nguyen, Duc-Hoang Pham, Duc-Trong Le, Hoang-Quynh Le, Padipat Sitkrongwong, Atsuhiro Takasu, Masoud Mansoury
2025	J	`jnl`	RaMen: Multi-Strategy Multi-Modal Learning for Bundle Construction. CoRR Huy-Son Nguyen, Quang-Huy Nguyen, Duc-Hoang Pham, Duc-Trong Le, Hoang-Quynh Le, Padipat Sitkrongwong, Atsuhiro Takasu, Masoud Mansoury
2025	J	`jnl`	Temporal User Profiling with LLMs: Balancing Short-Term and Long-Term Preferences for Recommendations. CoRR Milad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher
2025	J	`jnl`	Towards Carbon Footprint-Aware Recommender Systems for Greener Item Recommendation. CoRR Raoul Kalisvaart, Masoud Mansoury, Alan Hanjalic, Elvin Isufi
2025	—	`conf`	Towards Explainable Temporal User Profiling with LLMs. UMAP (Adjunct Publication) Milad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher
2025	J	`jnl`	Towards Explainable Temporal User Profiling with LLMs. CoRR Milad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher
2025	J	`jnl`	Using LLMs to Capture Users' Temporal Context for Recommendation. CoRR Milad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher
2024	—	`conf`	Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation. UMAP (Adjunct Publication) Kun Lin, Masoud Mansoury, Farzad Eskandanian, Milad Sabouri, Bamshad Mobasher
2024	J	`jnl`	Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation. CoRR Kun Lin, Masoud Mansoury, Farzad Eskandanian, Milad Sabouri, Bamshad Mobasher
2024	J	`jnl`	Correcting for Popularity Bias in Recommender Systems via Item Loss Equalization. CoRR Juno Prent, Masoud Mansoury
2024	A*	`conf`	Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. SIGIR Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke
2024	J	`jnl`	Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. CoRR Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke
2024	—	`conf`	Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study. ECIR (4) Yuanna Liu, Ming Li, Mozhdeh Ariannezhad, Masoud Mansoury, Mohammad Aliannejadi, Maarten de Rijke
2024	A	`conf`	Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits. CIKM Masoud Mansoury, Bamshad Mobasher, Herke van Hoof
2024	J	`jnl`	Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits. CoRR Masoud Mansoury, Bamshad Mobasher, Herke van Hoof
2024	—	`ed.`	Proceedings of the Workshop on Strategic and Utility-aware REcommendations (SURE 2024) co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, 14th-18th October 2024. SURE@RecSys Himan Abdollahpouri, Tonia Danylenko, Masoud Mansoury, Babak Loni, Daniel Russo, Mihajlo Grbovic
2024	A	`conf`	SURE 2024: Workshop on Strategic and Utility-aware REcommendation. RecSys Himan Abdollahpouri, Tonia Danylenko, Masoud Mansoury, Babak Loni, Daniel Russo, Mihajlo Grbovic
2023	—	`conf`	Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach. HR@RecSys Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus
2023	J	`jnl`	Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach. CoRR Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus
2023	J	`jnl`	Fairness of Exposure in Dynamic Recommendation. CoRR Masoud Mansoury, Bamshad Mobasher
2023	J	`jnl`	Potential Factors Leading to Popularity Unfairness in Recommender Systems: A User-Centered Analysis. CoRR Masoud Mansoury, Finn Duijvestijn, Imane Mourabet
2023	A	`conf`	Predictive Uncertainty-based Bias Mitigation in Ranking. CIKM Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff
2023	J	`jnl`	Predictive Uncertainty-based Bias Mitigation in Ranking. CoRR Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff
2022	J	`jnl`	A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems. ACM Trans. Inf. Syst. Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
2022	J	`jnl`	Exposure-Aware Recommendation using Contextual Bandits. CoRR Masoud Mansoury, Bamshad Mobasher, Herke van Hoof
2022	A	`conf`	MORS 2022: The Second Workshop on Multi-Objective Recommender Systems. RecSys Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou
2022	—	`ed.`	Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, 18th-23rd September 2022. MORS@RecSys Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou
2022	J	`jnl`	Understanding and mitigating multi-sided exposure bias in recommender systems. SIGWEB Newsl. Masoud Mansoury
2021	J	`jnl`	A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems. CoRR Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
2021	—	`conf`	Beyond Algorithmic Fairness in Recommender Systems. UMAP (Adjunct Publication) Mehdi Elahi, Himan Abdollahpouri, Masoud Mansoury, Helma Torkamaan
2021	A	`conf`	Fairness-Aware Recommendation in Multi-Sided Platforms. WSDM Masoud Mansoury
2021	J	`jnl`	Flatter Is Better: Percentile Transformations for Recommender Systems. ACM Trans. Intell. Syst. Technol. Masoud Mansoury, Robin Burke, Bamshad Mobasher
2021	—	`conf`	MORS 2021 - 1st Workshop on Multi-Objective Recommender Systems. MORS@RecSys Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni
2021	A	`conf`	MORS 2021: 1st Workshop on Multi-Objective Recommender Systems. RecSys Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni
2021	—	`ed.`	Proceedings of the 1st Workshop on Multi-Objective Recommender Systems (MORS 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, The Netherlands, September 25, 2021. MORS@RecSys Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni
2021	J	`jnl`	Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation. CoRR Masoud Mansoury, Himan Abdollahpouri, Bamshad Mobasher, Mykola Pechenizkiy, Robin Burke, Milad Sabouri
2021	J	`jnl`	Understanding and Mitigating Multi-Sided Exposure Bias in Recommender Systems. CoRR Masoud Mansoury
2021	A	`conf`	User-centered Evaluation of Popularity Bias in Recommender Systems. UMAP Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward C. Malthouse
2021	J	`jnl`	User-centered Evaluation of Popularity Bias in Recommender Systems. CoRR Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward C. Malthouse
2021	A	`conf`	librec-auto: A Tool for Recommender Systems Experimentation. CIKM Nasim Sonboli, Masoud Mansoury, Ziyue Guo, Shreyas Kadekodi, Weiwen Liu, Zijun Liu, Andrew Schwartz, Robin Burke
2020	J	`jnl`	Addressing the Multistakeholder Impact of Popularity Bias in Recommendation Through Calibration. CoRR Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
2020	—	`conf`	Experimentation with fairness-aware recommendation using librec-auto: hands-on tutorial. FAT* Robin D. Burke, Masoud Mansoury, Nasim Sonboli
2020	A	`conf`	FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems. UMAP Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
2020	J	`jnl`	FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems. CoRR Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
2020	A	`conf`	Fairness-aware Recommendation with librec-auto. RecSys Nasim Sonboli, Robin Burke, Zijun Liu, Masoud Mansoury
2020	A	`conf`	Feedback Loop and Bias Amplification in Recommender Systems. CIKM Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
2020	J	`jnl`	Feedback Loop and Bias Amplification in Recommender Systems. CoRR Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
2020	Misc	`conf`	Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems. FLAIRS Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher
2020	J	`jnl`	Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems. CoRR Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher
2020	J	`jnl`	Multi-sided Exposure Bias in Recommendation. CoRR Himan Abdollahpouri, Masoud Mansoury
2020	A	`conf`	The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. RecSys Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
2020	J	`jnl`	The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. CoRR Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
2020	J	`jnl`	Unfair Exposure of Artists in Music Recommendation. CoRR Himan Abdollahpouri, Robin Burke, Masoud Mansoury
2019	—	`conf`	Algorithm Selection with Librec-auto. AMIR@ECIR Masoud Mansoury, Robin Burke
2019	—	`conf`	Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison. RMSE@RecSys Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy
2019	J	`jnl`	Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison. CoRR Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy
2019	J	`jnl`	Flatter is better: Percentile Transformations for Recommender Systems. CoRR Masoud Mansoury, Robin Burke, Bamshad Mobasher
2019	J	`jnl`	The Impact of Popularity Bias on Fairness and Calibration in Recommendation. CoRR Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
2019	J	`jnl`	The Relationship between the Consistency of Users' Ratings and Recommendation Calibration. CoRR Masoud Mansoury, Himan Abdollahpouri, Joris Rombouts, Mykola Pechenizkiy
2019	—	`conf`	The Unfairness of Popularity Bias in Recommendation. RMSE@RecSys Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
2019	J	`jnl`	The Unfairness of Popularity Bias in Recommendation. CoRR Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
2018	A	`conf`	Automating recommender systems experimentation with librec-auto. RecSys Masoud Mansoury, Robin Burke, Aldo Ordonez-Gauger, Xavier Sepulveda
2016	J	`jnl`	Improving recommender systems' performance on cold-start users and controversial items by a new similarity model. Int. J. Web Inf. Syst. Masoud Mansoury, Mehdi Shajari