| 2025 | HCI | A Hybrid Recommendation Framework for Enhancing User Engagement in Local News. | Payam Pourashraf, Bamshad Mobasher |
| 2025 | ICDM | Effectiveness of LLMs in Temporal User Profiling for Recommendation. | Milad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher |
| 2025 | RecSys | Workshop on Context-Aware Recommender Systems. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger |
| 2024 | CIKM | Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits. | Masoud Mansoury, Bamshad Mobasher, Herke van Hoof |
| 2024 | RecSys | Workshop on Context-Aware Recommender Systems (CARS) 2024. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger |
| 2023 | HCI | Modeling Users' Localized Preferences for More Effective News Recommendation. | Payam Pourashraf, Bamshad Mobasher |
| 2023 | RecSys | Workshop on Context-Aware Recommender Systems 2023. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger |
| 2022 | KDD | Data Science and Artificial Intelligence for Responsible Recommendations. | Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher |
| 2022 | RecSys | CARS: Workshop on Context-Aware Recommender Systems 2022. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger |
| 2021 | RecSys | ComplexRec 2021: Fifth Workshop on Recommendation in Complex Environments. | Himan Abdollahpouri, Toine Bogers, Bamshad Mobasher, Casper Petersen, Maria Soledad Pera |
| 2021 | RecSys | Workshop on Context-Aware Recommender Systems (CARS) 2021. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger |
| 2021 | RecSys | How does the User's Knowledge of the Recommender Influence their Behavior? | Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher |
| 2021 | WWW | Toward the Next Generation of News Recommender Systems. | Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert |
| 2020 | CHI | Children with Autism and Technology Use: A Case Study of the Diary Method. | Cynthia Putnam, Bamshad Mobasher |
| 2020 | CIKM | Feedback Loop and Bias Amplification in Recommender Systems. | Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke |
| 2020 | FlAIRS | Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems. | Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher |
| 2020 | RecSys | The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. | Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher |
| 2020 | RecSys | Workshop on Context-Aware Recommender Systems. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger |
| 2020 | RecSys | ComplexRec 2020: Workshop on Recommendation in Complex Environments. | Toine Bogers, Marijn Koolen, Casper Petersen, Bamshad Mobasher, Alexander Tuzhilin |
| 2019 | FlAIRS | Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. | Himan Abdollahpouri, Robin Burke, Bamshad Mobasher |
| 2019 | FlAIRS | Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models. | Farzad Eskandanian, Bamshad Mobasher |
| 2019 | RecSys | The Unfairness of Popularity Bias in Recommendation. | Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher |
| 2019 | RecSys | Workshop on context-aware recommender systems. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger |
| 2019 | RecSys | Does the User Have A Theory of the Recommender? A Pilot Study. | Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher |
| 2019 | RecSys | Third workshop on recommendation in complex scenarios (ComplexRec 2019). | Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin |
| 2019 | RecSys | Overview of the Workshop on Recommendation in Complex Scenarios 2019 (ComplexRec 2019). | Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin |
| 2019 | RecSys | Crank up the Volume: Preference Bias Amplification in Collaborative Recommendation. | Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke |
| 2019 | RecSys | Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison. | Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy |
| 2018 | HAIS | Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services. | Diego Snchez-Moreno, Mara N. Moreno Garca, Nasim Sonboli, Bamshad Mobasher, Robin Burke |
| 2018 | RecSys | 2nd workshop on recommendation in complex scenarios (complexrec 2018). | Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Casper Petersen |
| 2017 | RecSys | Controlling Popularity Bias in Learning-to-Rank Recommendation. | Himan Abdollahpouri, Robin Burke, Bamshad Mobasher |
| 2017 | RecSys | Workshop on Recommendation in Complex Scenarios: (ComplexRec 2017). | Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin |
| 2017 | RecSys | Workshop on Recommendation in Complex Scenarios (ComplexRec 2017). | Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin |
| 2016 | FlAIRS | Meta-Path Selection for Extended Multi-Relational Matrix Factorization. | Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher |
| 2016 | RecSys | User Segmentation for Controlling Recommendation Diversity. | Farzad Eskandanian, Bamshad Mobasher, Robin D. Burke |
| 2016 | RecSys | Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks. | Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher |
| 2015 | ICDM | CARSKit: A Java-Based Context-Aware Recommendation Engine. | Yong Zheng, Bamshad Mobasher, Robin D. Burke |
| 2015 | IJCAI | Adapting to User Preference Changes in Interactive Recommendation. | Negar Hariri, Bamshad Mobasher, Robin Burke |
| 2015 | IJCAI | Incorporating Context Correlation into Context-aware Matrix Factorization. | Yong Zheng, Bamshad Mobasher, Robin D. Burke |
| 2015 | RecSys | Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models. | Mehdi Hosseinzadeh Aghdam, Negar Hariri, Bamshad Mobasher, Robin D. Burke |
| 2015 | RecSys | Network-Based Extension of Multi-Relational Factorization Models. | Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher |
| 2015 | WISE | Similarity-Based Context-Aware Recommendation. | Yong Zheng, Bamshad Mobasher, Robin D. Burke |
| 2015 | REFSQ | User-Constrained Clustering in Online Requirements Forums. | Chuan Duan, Horatiu Dumitru, Jane Cleland-Huang, Bamshad Mobasher |
| 2014 | CIKM | Deviation-Based Contextual SLIM Recommenders. | Yong Zheng, Bamshad Mobasher, Robin D. Burke |
| 2014 | KDD | The recommender problem revisited: morning tutorial. | Xavier Amatriain, Bamshad Mobasher |
| 2014 | RecSys | Context adaptation in interactive recommender systems. | Negar Hariri, Bamshad Mobasher, Robin D. Burke |
| 2014 | RecSys | The sixth ACM RecSys workshop on recommender systems and the social web. | Dietmar Jannach, Jill Freyne, Werner Geyer, Ido Guy, Andreas Hotho, Bamshad Mobasher |
| 2014 | RecSys | CSLIM: contextual SLIM recommendation algorithms. | Yong Zheng, Bamshad Mobasher, Robin D. Burke |
| 2014 | SAC | Splitting approaches for context-aware recommendation: an empirical study. | Yong Zheng, Robin D. Burke, Bamshad Mobasher |
| 2013 | RecSys | Query-driven context aware recommendation. | Negar Hariri, Bamshad Mobasher, Robin D. Burke |
| 2013 | RecSys | The fifth ACM RecSys workshop on recommender systems and the social web. | Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Jill Freyne, Andreas Hotho, Sarabjot Singh Anand, Ido Guy |
| 2013 | RecSys | The Role of Emotions in Context-aware Recommendation. | Yong Zheng, Bamshad Mobasher, Robin D. Burke |
| 2012 | ICSE | Recommending source code for use in rapid software prototypes. | Collin McMillan, Negar Hariri, Denys Poshyvanyk, Jane Cleland-Huang, Bamshad Mobasher |
| 2012 | RecSys | Context-aware music recommendation based on latenttopic sequential patterns. | Negar Hariri, Bamshad Mobasher, Robin D. Burke |
| 2012 | RecSys | 4th ACM RecSys workshop on recommender systems and the social web. | Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Andreas Hotho |
| 2011 | IJCAI | Context-Aware Recommendation Based On Review Mining. | Negar Hariri, Bamshad Mobasher, Robin Burke, Yong Zheng |
| 2011 | ICSE | On-demand feature recommendations derived from mining public product descriptions. | Horatiu Dumitru, Marek Gibiec, Negar Hariri, Jane Cleland-Huang, Bamshad Mobasher, Carlos Castro-Herrera, Mehdi Mirakhorli |
| 2010 | CIKM | Hybrid tag recommendation for social annotation systems. | Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke |
| 2010 | RecSys | 2nd workshop on recommender systems and the social web. | Werner Geyer, Jill Freyne, Bamshad Mobasher, Sarabjot S. Anand, Casey Dugan |
| 2010 | RecSys | Improving the effectiveness of collaborative recommendation with ontology-based user profiles. | Ahu Sieg, Bamshad Mobasher, Robin Burke |
| 2009 | IJCAI | Adapting K-Nearest Neighbor for Tag Recommendation in Folksonomies. | Jonathan Gemmell, Thomas Schimoler, Maryam Ramezani, Bamshad Mobasher |
| 2009 | RE | Enhancing Stakeholder Profiles to Improve Recommendations in Online Requirements Elicitation. | Carlos Castro-Herrera, Jane Cleland-Huang, Bamshad Mobasher |
| 2009 | RecSys | A recommender system for dynamically evolving online forums. | Carlos Castro-Herrera, Jane Cleland-Huang, Bamshad Mobasher |
| 2009 | RecSys | The impact of ambiguity and redundancy on tag recommendation in folksonomies. | Jonathan Gemmell, Maryam Ramezani, Thomas Schimoler, Laura Christiansen, Bamshad Mobasher |
| 2009 | RecSys | Workshop on recommender systems and the social web. | Dietmar Jannach, Werner Geyer, Casey Dugan, Jill Freyne, Sarabjot S. Anand, Bamshad Mobasher, Alfred Kobsa |
| 2009 | SAC | A recommender system for requirements elicitation in large-scale software projects. | Carlos Castro-Herrera, Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher |
| 2008 | CIKM | A consensus based approach to constrained clustering of software requirements. | Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher |
| 2008 | DaWaK | Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering. | Jonathan Gemmell, Andriy Shepitsen, Bamshad Mobasher, Robin D. Burke |
| 2008 | ICSE | Using data mining and recommender systems to scale up the requirements process. | Jane Cleland-Huang, Bamshad Mobasher |
| 2008 | IUI | International workshop on recommendation and collaboration (ReColl 2008). | Lawrence D. Bergman, Jihie Kim, Bamshad Mobasher, Stefan M. Rger, Stefan Siersdorfer, Sergej Sizov, Markus Stolze |
| 2008 | RE | Using Data Mining and Recommender Systems to Facilitate Large-Scale, Open, and Inclusive Requirements Elicitation Processes. | Carlos Castro-Herrera, Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher |
| 2008 | RecSys | Personalized recommendation in social tagging systems using hierarchical clustering. | Andriy Shepitsen, Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke |
| 2007 | CIKM | Web search personalization with ontological user profiles. | Ahu Sieg, Bamshad Mobasher, Robin D. Burke |
| 2007 | RecSys | Robustness of collaborative recommendation based on association rule mining. | Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke |
| 2006 | AAAI | Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks. | Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig |
| 2006 | KDD | Classification features for attack detection in collaborative recommender systems. | Robin D. Burke, Bamshad Mobasher, Chad Williams, Runa Bhaumik |
| 2006 | KDD | Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based Approach. | Chad Williams, Bamshad Mobasher, Robin D. Burke, Runa Bhaumik |
| 2005 | ICDM | Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems. | Robin D. Burke, Bamshad Mobasher, Runa Bhaumik, Chad Williams |
| 2005 | KDD | A maximum entropy web recommendation system: combining collaborative and content features. | Xin Jin, Yanzan Zhou, Bamshad Mobasher |
| 2005 | KDD | Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation. | Bamshad Mobasher, Robin D. Burke, Chad Williams, Runa Bhaumik |
| 2004 | KDD | Web usage mining based on probabilistic latent semantic analysis. | Xin Jin, Yanzan Zhou, Bamshad Mobasher |
| 2004 | WWW | A Recommendation Model Based on Latent Principal Factors in Web Navigation Data. | Yanzan Zhou, Xin Jin, Bamshad Mobasher |
| 2003 | IJCAI | Intelligent Techniques for Web Personalization. | Sarabjot S. Anand, Bamshad Mobasher |
| 2002 | ICDM | Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks. | Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa |
| 2002 | KDD | The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis. | Bettina Berendt, Bamshad Mobasher, Miki Nakagawa, Myra Spiliopoulou |
| 1999 | IJCAI | Bid Selection Strategies for Multi-agent Contracting in the Presence of Scheduling Constraints. | John Collins, Rashmi Sundareswara, Maria L. Gini, Bamshad Mobasher |
| 1997 | ICTAI | Web Mining: Information and Pattern Discovery on the World Wide Web. | Robert Cooley, Bamshad Mobasher, Jaideep Srivastava |
| 1993 | LPNMR | Negation as Partial Failure. | Bamshad Mobasher, Jacek Leszczylowski, Don Pigozzi |