Bamshad Mobasher

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 98

Top Venues

CoRR

RecSys

UMAP

UMAP (Adjunct Publication)

Publications

Kun Lin, Masoud Mansoury, Farzad Eskandanian, Milad Sabouri, Bamshad Mobasher
Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation. UMAP (Adjunct Publication) (2024)
Kun Lin, Masoud Mansoury, Farzad Eskandanian, Milad Sabouri, Bamshad Mobasher
Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation. CoRR (2024)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
Workshop on Context-Aware Recommender Systems 2023. RecSys (2023)
Payam Pourashraf, Bamshad Mobasher
Modeling Users' Localized Preferences for More Effective News Recommendation. HCI (41) (2023)
Masoud Mansoury, Bamshad Mobasher
Fairness of Exposure in Dynamic Recommendation. CoRR (2023)
Bamshad Mobasher, Styliani Kleanthous, Jahna Otterbacher, Robin Burke, Avital Shulner-Tal
6th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2023). UMAP (Adjunct Publication) (2023)
Mohammed Muheeb Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri Saremi, Bamshad Mobasher
Does the User Have A Theory of the Recommender? A Grounded Theory Study. UMAP (Adjunct Publication) (2022)
Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher
Data Science and Artificial Intelligence for Responsible Recommendations. KDD (2022)
Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher
Behavioral Player Rating in Competitive Online Shooter Games. CoRR (2022)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems. ACM Trans. Inf. Syst. 40 (2) (2022)
Payam Pourashraf, Bamshad Mobasher
Using user's local context to support local news. UMAP (Adjunct Publication) (2022)
Styliani Kleanthous, Bamshad Mobasher, Tsvika Kuflik, Bettina Berendt, Robin Burke, Jahna Otterbacher, Nasim Sonboli, Avital Shulner Tal
5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022). UMAP (Adjunct Publication) (2022)
Payam Pourashraf, Bamshad Mobasher
Using Recommender Systems to Help Revitalize Local News. UMAP (Adjunct Publication) (2022)
Payam Pourashraf, Bamshad Mobasher
Using user's local context to support local news. CoRR (2022)
Masoud Mansoury, Bamshad Mobasher, Herke van Hoof
Exposure-Aware Recommendation using Contextual Bandits. CoRR (2022)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
CARS: Workshop on Context-Aware Recommender Systems 2022. RecSys (2022)
Bamshad Mobasher, Styliani Kleanthous, Bettina Berendt, Jahna Otterbacher, Tsvi Kuflik, Avital Shulner Tal
FairUMAP 2021: The 4th Workshop on Fairness in User Modeling, Adaptation and Personalization. UMAP (Adjunct Publication) (2021)
Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher
Evaluating Team Skill Aggregation in Online Competitive Games. CoRR (2021)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
Workshop on Context-Aware Recommender Systems (CARS) 2021. RecSys (2021)
Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert
Toward the Next Generation of News Recommender Systems. WWW (Companion Volume) (2021)
Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher
Player Modeling using Behavioral Signals in Competitive Online Games. CoRR (2021)
Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert
Toward the Next Generation of News Recommender Systems. CoRR (2021)
Masoud Mansoury, Robin Burke, Bamshad Mobasher
Flatter Is Better: Percentile Transformations for Recommender Systems. ACM Trans. Intell. Syst. Technol. 12 (2) (2021)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward C. Malthouse
User-centered Evaluation of Popularity Bias in Recommender Systems. UMAP (2021)
Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher
The Evaluation of Rating Systems in Team-based Battle Royale Games. CoRR (2021)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward C. Malthouse
User-centered Evaluation of Popularity Bias in Recommender Systems. CoRR (2021)
Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri Saremi, Bamshad Mobasher
How does the User's Knowledge of the Recommender Influence their Behavior? IntRS@RecSys (2021)
Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri Saremi, Bamshad Mobasher
How does the User's Knowledge of the Recommender Influence their Behavior? CoRR (2021)
Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher
Player Modeling using Behavioral Signals in Competitive Online Games. CSCI (2021)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems. CoRR (2021)
Masoud Mansoury, Himan Abdollahpouri, Bamshad Mobasher, Mykola Pechenizkiy, Robin Burke, Milad Sabouri
Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation. CoRR (2021)
Vito Walter Anelli, Pierpaolo Basile, Toine Bogers, Tommaso Di Noia, Francesco Maria Donini, Bamshad Mobasher, Cataldo Musto, Fedelucio Narducci, Casper Petersen, Maria Soledad Pera, Markus Zanker
Report on the 3rd workshop of knowledge-aware and conversational recommender systems (KARS/ComplexRec) at RecSys 2021. SIGIR Forum 55 (2) (2021)
Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher
Evaluating Team Skill Aggregation in Online Competitive Games. CoG (2021)
Himan Abdollahpouri, Toine Bogers, Bamshad Mobasher, Casper Petersen, Maria Soledad Pera
ComplexRec 2021: Fifth Workshop on Recommendation in Complex Environments. RecSys (2021)
Toine Bogers, Marijn Koolen, Bamshad Mobasher, Casper Petersen, Alexander Tuzhilin
Report on the fourth workshop on recommendation in complex environments: (ComplexRec 2020). SIGIR Forum 54 (2) (2020)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. CoRR (2020)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
Workshop on Context-Aware Recommender Systems. RecSys (2020)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems. UMAP (2020)
Farzad Eskandanian, Bamshad Mobasher
Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation. CoRR (2020)
Diego Sánchez-Moreno, María N. Moreno García, Nasim Sonboli, Bamshad Mobasher, Robin Burke
Using Social Tag Embedding in a Collaborative Filtering Approach for Recommender Systems. WI/IAT (2020)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
Addressing the Multistakeholder Impact of Popularity Bias in Recommendation Through Calibration. CoRR (2020)
Bamshad Mobasher, Styliani Kleanthous, Bettina Berendt, Michael D. Ekstrand, Jahna Otterbacher, Avital Shulner Tal
UMAP 2020 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2020) Chairs' Welcome. UMAP (Adjunct Publication) (2020)
Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. CoRR (2020)
Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher
Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems. CoRR (2020)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
Feedback Loop and Bias Amplification in Recommender Systems. CoRR (2020)
Dietmar Jannach, Bamshad Mobasher, Shlomo Berkovsky
Research directions in session-based and sequential recommendation. User Model. User Adapt. Interact. 30 (4) (2020)
Farzad Eskandanian, Bamshad Mobasher
Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation. UMAP (2020)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. RecSys (2020)
Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher
The Evaluation of Rating Systems in Online Free-for-All Games. CoRR (2020)
Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke
Calibration in Collaborative Filtering Recommender Systems: a User-Centered Analysis. HT (2020)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
Feedback Loop and Bias Amplification in Recommender Systems. CIKM (2020)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems. CoRR (2020)
Cynthia Putnam, Bamshad Mobasher
Children with Autism and Technology Use: A Case Study of the Diary Method. CHI Extended Abstracts (2020)
Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher
Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems. FLAIRS Conference (2020)
Bamshad Mobasher, Styliani Kleanthous, Michael D. Ekstrand, Bettina Berendt, Jahna Otterbacher, Avital Shulner Tal
FairUMAP 2020: The 3rd Workshop on Fairness in User Modeling, Adaptation and Personalization. UMAP (2020)
Toine Bogers, Marijn Koolen, Casper Petersen, Bamshad Mobasher, Alexander Tuzhilin
ComplexRec 2020: Workshop on Recommendation in Complex Environments. RecSys (2020)
Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. UMAP (2020)
Geert-Jan Houben, Bamshad Mobasher
UMAP 2019 Theory, Reflection, and Opinion Track: Chairs' Welcome and Overview. UMAP (Adjunct Publication) (2019)
Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke
Crank up the Volume: Preference Bias Amplification in Collaborative Recommendation. RMSE@RecSys (2019)
Bamshad Mobasher, Lucia Dettori, Daniela Raicu, Raffaella Settimi, Nasim Sonboli, Monica Stettler
Data Science Summer Academy for Chicago Public School Students. SIGKDD Explor. 21 (1) (2019)
Masoud Mansoury, Robin Burke, Bamshad Mobasher
Flatter is better: Percentile Transformations for Recommender Systems. CoRR (2019)
Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy
Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison. CoRR (2019)
Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke
Crank up the volume: preference bias amplification in collaborative recommendation. CoRR (2019)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
The Unfairness of Popularity Bias in Recommendation. RMSE@RecSys (2019)
Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin
Third workshop on recommendation in complex scenarios (ComplexRec 2019). RecSys (2019)
Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems. UMAP (2019)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
The Impact of Popularity Bias on Fairness and Calibration in Recommendation. CoRR (2019)
Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri Saremi, Bamshad Mobasher
Does the User Have A Theory of the Recommender? A Pilot Study. IntRS@RecSys (2019)
Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin
Overview of the Workshop on Recommendation in Complex Scenarios 2019 (ComplexRec 2019). ComplexRec@RecSys (2019)
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
Managing Popularity Bias in Recommender Systems with Personalized Re-ranking. CoRR (2019)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
Workshop on context-aware recommender systems. RecSys (2019)
Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems. CoRR (2019)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
The Unfairness of Popularity Bias in Recommendation. CoRR (2019)
Farzad Eskandanian, Bamshad Mobasher
Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models. CoRR (2019)
Bettina Berendt, Veronika Bogina, Robin Burke, Michael D. Ekstrand, Alan Hartman, Styliani Kleanthous, Tsvi Kuflik, Bamshad Mobasher, Jahna Otterbacher
FairUMAP 2019 Chairs' Welcome Overview. UMAP (Adjunct Publication) (2019)
Farzad Eskandanian, Bamshad Mobasher
Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models. FLAIRS Conference (2019)
Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy
Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison. RMSE@RecSys (2019)
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. FLAIRS Conference (2019)
Diego Sánchez-Moreno, María N. Moreno García, Nasim Sonboli, Bamshad Mobasher, Robin Burke
Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services. HAIS (2018)
Farzad Eskandanian, Bamshad Mobasher
Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks. CoRR (2018)
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
Value-Aware Item Weighting for Long-Tail Recommendation. CoRR (2018)
Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Casper Petersen
2nd workshop on recommendation in complex scenarios (complexrec 2018). RecSys (2018)
Bamshad Mobasher, Robin Burke, Michael D. Ekstrand, Bettina Berendt
UMAP 2018 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2018) Chairs' Welcome & Organization: Preface. UMAP (Adjunct Publication) (2018)
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
Controlling Popularity Bias in Learning-to-Rank Recommendation. RecSys (2017)
Farzad Eskandanian, Bamshad Mobasher, Robin Burke
A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems. UMAP (2017)
Cataldo Musto, Amon Rapp, Veronika Bogina, Federica Cena, Frank Hopfgartner, Judy Kay, David Konopnicki, Tsvi Kuflik, Bamshad Mobasher, Giovanni Semeraro
UMAP 2017 THUM Workshop Chairs' Welcome & Organization. UMAP (Adjunct Publication) (2017)
Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher
Weighted Random Walk Sampling for Multi-Relational Recommendation. UMAP (2017)
Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin
Workshop on Recommendation in Complex Scenarios (ComplexRec 2017). ComplexRec@RecSys (2017)
Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher
Weighted Random Walk Sampling for Multi-Relational Recommendation. CoRR (2017)
Laura Christiansen, Bamshad Mobasher, Robin Burke
Using Uncertain Graphs to Automatically Generate Event Flows from News Stories. HT (Extended Proceedings) (2017)
Fatemeh Vahedian, Robin Burke, Bamshad Mobasher
Multirelational Recommendation in Heterogeneous Networks. ACM Trans. Web 11 (3) (2017)
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
Recommender Systems as Multistakeholder Environments. UMAP (2017)
Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin
Workshop on Recommendation in Complex Scenarios: (ComplexRec 2017). RecSys (2017)
Robin D. Burke, Himan Abdollahpouri, Bamshad Mobasher, Trinadh Gupta
Towards Multi-Stakeholder Utility Evaluation of Recommender Systems. UMAP (Extended Proceedings) (2016)
Yong Zheng, Bamshad Mobasher, Robin Burke
User-Oriented Context Suggestion. UMAP (2016)
Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher
Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks. RecSys Posters (2016)
Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher
Meta-Path Selection for Extended Multi-Relational Matrix Factorization. FLAIRS Conference (2016)
Farzad Eskandanian, Bamshad Mobasher, Robin D. Burke
User Segmentation for Controlling Recommendation Diversity. RecSys Posters (2016)
Negar Hariri, Bamshad Mobasher, Robin Burke
Adapting to User Preference Changes in Interactive Recommendation. IJCAI (2015)
Yong Zheng, Bamshad Mobasher, Robin D. Burke
Integrating Context Similarity with Sparse Linear Recommendation Model. UMAP (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bamshad Mobasher