Bamshad Mobasher

256 papers A* 11A 55B 4C 1Misc 7Journal 78Unranked 79

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	"They Only Offer the Illusion of Choice": Exploring User Perceptions of Control and Agency on YouTube. UMAP (Adjunct Publication) Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Bamshad Mobasher
2025	—	`conf`	7th UMAP Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2025). UMAP (Adjunct Publication) Bamshad Mobasher, Styliani Kleanthous, Robin Burke, Avital Shulner-Tal, Tsvi Kuflik
2025	—	`conf`	A Hybrid Recommendation Framework for Enhancing User Engagement in Local News. HCI (82) Payam Pourashraf, Bamshad Mobasher
2025	J	`jnl`	A Hybrid Recommendation Framework for Enhancing User Engagement in Local News. CoRR Payam Pourashraf, Bamshad Mobasher
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`	Temporal User Profiling with LLMs: Balancing Short-Term and Long-Term Preferences for Recommendations. CoRR Milad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher
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
2025	A	`conf`	Workshop on Context-Aware Recommender Systems. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
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	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	A	`conf`	Workshop on Context-Aware Recommender Systems (CARS) 2024. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
2023	—	`conf`	6th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2023). UMAP (Adjunct Publication) Bamshad Mobasher, Styliani Kleanthous, Jahna Otterbacher, Robin Burke, Avital Shulner-Tal
2023	J	`jnl`	Fairness of Exposure in Dynamic Recommendation. CoRR Masoud Mansoury, Bamshad Mobasher
2023	—	`conf`	Modeling Users' Localized Preferences for More Effective News Recommendation. HCI (41) Payam Pourashraf, Bamshad Mobasher
2023	A	`conf`	Workshop on Context-Aware Recommender Systems 2023. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
2022	—	`conf`	5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022). UMAP (Adjunct Publication) Styliani Kleanthous, Bamshad Mobasher, Tsvika Kuflik, Bettina Berendt, Robin Burke, Jahna Otterbacher, Nasim Sonboli, Avital Shulner-Tal
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`	Behavioral Player Rating in Competitive Online Shooter Games. CoRR Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher
2022	A	`conf`	CARS: Workshop on Context-Aware Recommender Systems 2022. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2022	A*	`conf`	Data Science and Artificial Intelligence for Responsible Recommendations. KDD Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher
2022	—	`conf`	Does the User Have A Theory of the Recommender? A Grounded Theory Study. UMAP (Adjunct Publication) Mohammed Muheeb Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher
2022	J	`jnl`	Exposure-Aware Recommendation using Contextual Bandits. CoRR Masoud Mansoury, Bamshad Mobasher, Herke van Hoof
2022	—	`conf`	Using Recommender Systems to Help Revitalize Local News. UMAP (Adjunct Publication) Payam Pourashraf, Bamshad Mobasher
2022	—	`conf`	Using user's local context to support local news. UMAP (Adjunct Publication) Payam Pourashraf, Bamshad Mobasher
2022	J	`jnl`	Using user's local context to support local news. CoRR Payam Pourashraf, Bamshad Mobasher
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	A	`conf`	ComplexRec 2021: Fifth Workshop on Recommendation in Complex Environments. RecSys Himan Abdollahpouri, Toine Bogers, Bamshad Mobasher, Casper Petersen, Maria Soledad Pera
2021	C	`conf`	Evaluating Team Skill Aggregation in Online Competitive Games. CoG Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher
2021	J	`jnl`	Evaluating Team Skill Aggregation in Online Competitive Games. CoRR Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher
2021	—	`conf`	FairUMAP 2021: The 4th Workshop on Fairness in User Modeling, Adaptation and Personalization. UMAP (Adjunct Publication) Bamshad Mobasher, Styliani Kleanthous, Bettina Berendt, Jahna Otterbacher, Tsvi Kuflik, Avital Shulner-Tal
2021	J	`jnl`	Flatter Is Better: Percentile Transformations for Recommender Systems. ACM Trans. Intell. Syst. Technol. Masoud Mansoury, Robin Burke, Bamshad Mobasher
2021	—	`conf`	How does the User's Knowledge of the Recommender Influence their Behavior? IntRS@RecSys Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher
2021	J	`jnl`	How does the User's Knowledge of the Recommender Influence their Behavior? CoRR Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher
2021	—	`ed.`	Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Virtual Event, Amsterdam, The Netherlands, September 25, 2021. KaRS/ComplexRec@RecSys Vito Walter Anelli, Pierpaolo Basile, Tommaso Di Noia, Francesco Maria Donini, Cataldo Musto, Fedelucio Narducci, Markus Zanker, Himan Abdollahpouri, Toine Bogers, Bamshad Mobasher, Casper Petersen, Maria Soledad Pera
2021	—	`conf`	Player Modeling using Behavioral Signals in Competitive Online Games. CSCI Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher
2021	J	`jnl`	Player Modeling using Behavioral Signals in Competitive Online Games. CoRR Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher
2021	J	`jnl`	Report on the 3rd workshop of knowledge-aware and conversational recommender systems (KARS/ComplexRec) at RecSys 2021. SIGIR Forum 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
2021	J	`jnl`	The Evaluation of Rating Systems in Team-based Battle Royale Games. CoRR Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher
2021	—	`conf`	Toward the Next Generation of News Recommender Systems. WWW (Companion Volume) Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert
2021	J	`jnl`	Toward the Next Generation of News Recommender Systems. CoRR Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert
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	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`	Workshop on Context-Aware Recommender Systems (CARS) 2021. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
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`	Calibration in Collaborative Filtering Recommender Systems: a User-Centered Analysis. HT Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke
2020	—	`conf`	Children with Autism and Technology Use: A Case Study of the Diary Method. CHI Extended Abstracts Cynthia Putnam, Bamshad Mobasher
2020	A	`conf`	ComplexRec 2020: Workshop on Recommendation in Complex Environments. RecSys Toine Bogers, Marijn Koolen, Casper Petersen, Bamshad Mobasher, Alexander Tuzhilin
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`	FairUMAP 2020: The 3rd Workshop on Fairness in User Modeling, Adaptation and Personalization. UMAP Bamshad Mobasher, Styliani Kleanthous, Michael D. Ekstrand, Bettina Berendt, Jahna Otterbacher, Avital Shulner-Tal
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	A	`conf`	Opportunistic Multi-aspect Fairness through Personalized Re-ranking. UMAP Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher
2020	J	`jnl`	Opportunistic Multi-aspect Fairness through Personalized Re-ranking. CoRR Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher
2020	—	`ed.`	Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), Online, September 25, 2020. ComplexRec-ImpactRS@RecSys Toine Bogers, Marijn Koolen, Casper Petersen, Bamshad Mobasher, Alexander Tuzhilin, Oren Sar Shalom, Dietmar Jannach, Joseph A. Konstan
2020	J	`jnl`	Report on the fourth workshop on recommendation in complex environments: (ComplexRec 2020). SIGIR Forum Toine Bogers, Marijn Koolen, Bamshad Mobasher, Casper Petersen, Alexander Tuzhilin
2020	J	`jnl`	Research directions in session-based and sequential recommendation. User Model. User Adapt. Interact. Dietmar Jannach, Bamshad Mobasher, Shlomo Berkovsky
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`	The Evaluation of Rating Systems in Online Free-for-All Games. CoRR Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher
2020	—	`conf`	UMAP 2020 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2020) Chairs' Welcome. UMAP (Adjunct Publication) Bamshad Mobasher, Styliani Kleanthous, Bettina Berendt, Michael D. Ekstrand, Jahna Otterbacher, Avital Shulner-Tal
2020	—	`conf`	Using Social Tag Embedding in a Collaborative Filtering Approach for Recommender Systems. WI/IAT Diego Sánchez-Moreno, María N. Moreno García, Nasim Sonboli, Bamshad Mobasher, Robin Burke
2020	A	`conf`	Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation. UMAP Farzad Eskandanian, Bamshad Mobasher
2020	J	`jnl`	Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation. CoRR Farzad Eskandanian, Bamshad Mobasher
2020	A	`conf`	Workshop on Context-Aware Recommender Systems. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
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	—	`conf`	Crank up the Volume: Preference Bias Amplification in Collaborative Recommendation. RMSE@RecSys Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke
2019	J	`jnl`	Crank up the volume: preference bias amplification in collaborative recommendation. CoRR Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke
2019	J	`jnl`	Data Science Summer Academy for Chicago Public School Students. SIGKDD Explor. Bamshad Mobasher, Lucia Dettori, Daniela Raicu, Raffaella Settimi, Nasim Sonboli, Monica Stettler
2019	—	`conf`	Does the User Have A Theory of the Recommender? A Pilot Study. IntRS@RecSys Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher
2019	—	`conf`	FairUMAP 2019 Chairs' Welcome Overview. UMAP (Adjunct Publication) Bettina Berendt, Veronika Bogina, Robin Burke, Michael D. Ekstrand, Alan Hartman, Styliani Kleanthous, Tsvi Kuflik, Bamshad Mobasher, Jahna Otterbacher
2019	J	`jnl`	Flatter is better: Percentile Transformations for Recommender Systems. CoRR Masoud Mansoury, Robin Burke, Bamshad Mobasher
2019	Misc	`conf`	Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. FLAIRS Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
2019	J	`jnl`	Managing Popularity Bias in Recommender Systems with Personalized Re-ranking. CoRR Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
2019	Misc	`conf`	Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models. FLAIRS Farzad Eskandanian, Bamshad Mobasher
2019	J	`jnl`	Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models. CoRR Farzad Eskandanian, Bamshad Mobasher
2019	—	`conf`	Overview of the Workshop on Recommendation in Complex Scenarios 2019 (ComplexRec 2019). ComplexRec@RecSys Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin
2019	A	`conf`	Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems. UMAP Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher
2019	J	`jnl`	Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems. CoRR Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher
2019	—	`ed.`	Proceedings of the Workshop on Recommendation in Complex Scenarios co-located with 13th ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, Denmark, September 20, 2019. ComplexRec@RecSys Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin
2019	J	`jnl`	The Impact of Popularity Bias on Fairness and Calibration in Recommendation. CoRR Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
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
2019	A	`conf`	Third workshop on recommendation in complex scenarios (ComplexRec 2019). RecSys Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin
2019	—	`conf`	UMAP 2019 Theory, Reflection, and Opinion Track: Chairs' Welcome and Overview. UMAP (Adjunct Publication) Geert-Jan Houben, Bamshad Mobasher
2019	A	`conf`	Workshop on context-aware recommender systems. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2018	A	`conf`	2nd workshop on recommendation in complex scenarios (complexrec 2018). RecSys Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Casper Petersen
2018	—	`ch.`	Context-Aware Recommendations. Collaborative Recommendations Yong Zheng, Bamshad Mobasher
2018	J	`jnl`	Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks. CoRR Farzad Eskandanian, Bamshad Mobasher
2018	Misc	`conf`	Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services. HAIS Diego Sánchez-Moreno, María N. Moreno García, Nasim Sonboli, Bamshad Mobasher, Robin Burke
2018	—	`conf`	UMAP 2018 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2018) Chairs' Welcome & Organization: Preface. UMAP (Adjunct Publication) Bamshad Mobasher, Robin Burke, Michael D. Ekstrand, Bettina Berendt
2018	J	`jnl`	Value-Aware Item Weighting for Long-Tail Recommendation. CoRR Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
2017	A	`conf`	A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems. UMAP Farzad Eskandanian, Bamshad Mobasher, Robin Burke
2017	A	`conf`	Controlling Popularity Bias in Learning-to-Rank Recommendation. RecSys Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
2017	—	`ch.`	Emotions in Context-Aware Recommender Systems. Emotions and Personality in Personalized Services Yong Zheng, Bamshad Mobasher, Robin Burke
2017	J	`jnl`	Multirelational Recommendation in Heterogeneous Networks. ACM Trans. Web Fatemeh Vahedian, Robin Burke, Bamshad Mobasher
2017	—	`ed.`	Proceedings of the RecSys 2017 Workshop on Recommendation in Complex Scenarios co-located with 11th ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 31, 2017. ComplexRec@RecSys Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin
2017	A	`conf`	Recommender Systems as Multistakeholder Environments. UMAP Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
2017	—	`conf`	UMAP 2017 THUM Workshop Chairs' Welcome & Organization. UMAP (Adjunct Publication) Cataldo Musto, Amon Rapp, Veronika Bogina, Federica Cena, Frank Hopfgartner, Judy Kay, David Konopnicki, Tsvi Kuflik, Bamshad Mobasher, Giovanni Semeraro
2017	—	`conf`	Using Uncertain Graphs to Automatically Generate Event Flows from News Stories. HT (Extended Proceedings) Laura Christiansen, Bamshad Mobasher, Robin Burke
2017	A	`conf`	Weighted Random Walk Sampling for Multi-Relational Recommendation. UMAP Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher
2017	J	`jnl`	Weighted Random Walk Sampling for Multi-Relational Recommendation. CoRR Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher
2017	—	`conf`	Workshop on Recommendation in Complex Scenarios (ComplexRec 2017). ComplexRec@RecSys Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin
2017	A	`conf`	Workshop on Recommendation in Complex Scenarios: (ComplexRec 2017). RecSys Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin
2016	Misc	`conf`	Meta-Path Selection for Extended Multi-Relational Matrix Factorization. FLAIRS Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher
2016	—	`conf`	Towards Multi-Stakeholder Utility Evaluation of Recommender Systems. UMAP (Extended Proceedings) Robin D. Burke, Himan Abdollahpouri, Bamshad Mobasher, Trinadh Gupta
2016	—	`conf`	User Segmentation for Controlling Recommendation Diversity. RecSys Posters Farzad Eskandanian, Bamshad Mobasher, Robin D. Burke
2016	A	`conf`	User-Oriented Context Suggestion. UMAP Yong Zheng, Bamshad Mobasher, Robin Burke
2016	—	`conf`	Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks. RecSys Posters Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher
2015	A	`conf`	Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models. RecSys Mehdi Hosseinzadeh Aghdam, Negar Hariri, Bamshad Mobasher, Robin D. Burke
2015	A*	`conf`	Adapting to User Preference Changes in Interactive Recommendation. IJCAI Negar Hariri, Bamshad Mobasher, Robin Burke
2015	—	`conf`	CARSKit: A Java-Based Context-Aware Recommendation Engine. ICDM Workshops Yong Zheng, Bamshad Mobasher, Robin D. Burke
2015	—	`conf`	Incorporating Context Correlation into Context-aware Matrix Factorization. CPCR+ITWP@IJCAI Yong Zheng, Bamshad Mobasher, Robin D. Burke
2015	A	`conf`	Integrating Context Similarity with Sparse Linear Recommendation Model. UMAP Yong Zheng, Bamshad Mobasher, Robin D. Burke
2015	—	`conf`	Network-Based Extension of Multi-Relational Factorization Models. RecSys Posters Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher
2015	—	`ed.`	Proceedings of the IJCAI 2015 Joint Workshop on Constraints and Preferences for Configuration and Recommendation and Intelligent Techniques for Web Personalization co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 27, 2015. CPCR+ITWP@IJCAI Dietmar Jannach, Jérôme Mengin, Bamshad Mobasher, Andrea Passerini, Paolo Viappiani
2015	—	`conf`	Similarity-Based Context-Aware Recommendation. WISE (1) Yong Zheng, Bamshad Mobasher, Robin D. Burke
2015	B	`conf`	User-Constrained Clustering in Online Requirements Forums. REFSQ Chuan Duan, Horatiu Dumitru, Jane Cleland-Huang, Bamshad Mobasher
2014	—	`ed.`	2014 IEEE International Conference on Big Data (IEEE BigData 2014), Washington, DC, USA, October 27-30, 2014 IEEE BigData Jimmy Lin, Jian Pei, Xiaohua Hu, Wo Chang, Raghunath Nambiar, Charu C. Aggarwal, Nick Cercone, Vasant G. Honavar, Jun Huan, Bamshad Mobasher, Saumyadipta Pyne
2014	A	`conf`	CSLIM: contextual SLIM recommendation algorithms. RecSys Yong Zheng, Bamshad Mobasher, Robin D. Burke
2014	—	`conf`	Context Recommendation Using Multi-label Classification. WI-IAT (1) Yong Zheng, Bamshad Mobasher, Robin D. Burke
2014	A	`conf`	Context adaptation in interactive recommender systems. RecSys Negar Hariri, Bamshad Mobasher, Robin D. Burke
2014	A	`conf`	Deviation-Based Contextual SLIM Recommenders. CIKM Yong Zheng, Bamshad Mobasher, Robin D. Burke
2014	A	`conf`	Hybrid Recommendation in Heterogeneous Networks. UMAP Robin D. Burke, Fatemeh Vahedian, Bamshad Mobasher
2014	—	`ed.`	Proceedings of the 6th Workshop on Recommender Systems and the Social Web (RSWeb 2014) co-located with the 8th ACM Conference on Recommender Systems (RecSys 2014), Foster City, CA, USA, October 6, 2014. RSWeb@RecSys Dietmar Jannach, Jill Freyne, Werner Geyer, Ido Guy, Andreas Hotho, Bamshad Mobasher
2014	—	`ch.`	Recommendation Systems in Requirements Discovery. Recommendation Systems in Software Engineering Negar Hariri, Carlos Castro-Herrera, Jane Cleland-Huang, Bamshad Mobasher
2014	—	`conf`	Resource Recommendation in Social Annotation Systems Based on User Partitioning. EC-Web Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke
2014	Misc	`conf`	Splitting approaches for context-aware recommendation: an empirical study. SAC Yong Zheng, Robin D. Burke, Bamshad Mobasher
2014	A*	`conf`	The recommender problem revisited: morning tutorial. KDD Xavier Amatriain, Bamshad Mobasher
2014	A	`conf`	The sixth ACM RecSys workshop on recommender systems and the social web. RecSys Dietmar Jannach, Jill Freyne, Werner Geyer, Ido Guy, Andreas Hotho, Bamshad Mobasher
2014	A	`conf`	User Partitioning Hybrid for Tag Recommendation. UMAP Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke
2013	—	`ed.`	Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, October 13, 2013. RSWeb@RecSys Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Jill Freyne, Andreas Hotho, Sarabjot Singh Anand, Ido Guy
2013	A	`conf`	Query-driven context aware recommendation. RecSys Negar Hariri, Bamshad Mobasher, Robin D. Burke
2013	A	`conf`	Recommendation with Differential Context Weighting. UMAP Yong Zheng, Robin D. Burke, Bamshad Mobasher
2013	J	`jnl`	Supporting Domain Analysis through Mining and Recommending Features from Online Product Listings. IEEE Trans. Software Eng. Negar Hariri, Carlos Castro-Herrera, Mehdi Mirakhorli, Jane Cleland-Huang, Bamshad Mobasher
2013	—	`conf`	The Role of Emotions in Context-aware Recommendation. Decisions@RecSys Yong Zheng, Bamshad Mobasher, Robin D. Burke
2013	A	`conf`	The fifth ACM RecSys workshop on recommender systems and the social web. RecSys Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Jill Freyne, Andreas Hotho, Sarabjot Singh Anand, Ido Guy
2012	A	`conf`	4th ACM RecSys workshop on recommender systems and the social web. RecSys Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Andreas Hotho
2012	A	`conf`	Context-aware music recommendation based on latenttopic sequential patterns. RecSys Negar Hariri, Bamshad Mobasher, Robin D. Burke
2012	—	`conf`	Differential Context Relaxation for Context-Aware Travel Recommendation. EC-Web Yong Zheng, Robin D. Burke, Bamshad Mobasher
2012	J	`jnl`	Guest editorial: special issue on a decade of mining the Web. Data Min. Knowl. Discov. Myra Spiliopoulou, Bamshad Mobasher, Olfa Nasraoui, Osmar R. Zaïane
2012	—	`conf`	Modeling topic trends on the social web using temporal signatures. WIDM Laura Christiansen, Thomas Schimoler, Robin D. Burke, Bamshad Mobasher
2012	—	`ed.`	Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web, RSWeb '12, Dublin, Ireland, September 9, 2012 RSWeb@RecSys Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Andreas Hotho
2012	A*	`conf`	Recommending source code for use in rapid software prototypes. ICSE Collin McMillan, Negar Hariri, Denys Poshyvanyk, Jane Cleland-Huang, Bamshad Mobasher
2012	J	`jnl`	Resource recommendation in social annotation systems: A linear-weighted hybrid approach. J. Comput. Syst. Sci. Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke
2012	A	`ed.`	User Modeling, Adaptation, and Personalization - 20th International Conference, UMAP 2012, Montreal, Canada, July 16-20, 2012. Proceedings UMAP Judith Masthoff, Bamshad Mobasher, Michel C. Desmarais, Roger Nkambou
2012	—	`conf`	Using social tags to infer context in hybrid music recommendation. WIDM Negar Hariri, Bamshad Mobasher, Robin D. Burke
2011	—	`conf`	Context-Aware Recommendation Based On Review Mining. ITWP@IJCAI Negar Hariri, Bamshad Mobasher, Robin Burke, Yong Zheng
2011	J	`jnl`	Context-Aware Recommender Systems. AI Mag. Gediminas Adomavicius, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin
2011	A*	`conf`	On-demand feature recommendations derived from mining public product descriptions. ICSE Horatiu Dumitru, Marek Gibiec, Negar Hariri, Jane Cleland-Huang, Bamshad Mobasher, Carlos Castro-Herrera, Mehdi Mirakhorli
2011	A	`ed.`	Proceedings of the 2011 ACM Conference on Recommender Systems, RecSys 2011, Chicago, IL, USA, October 23-27, 2011 RecSys Bamshad Mobasher, Robin D. Burke, Dietmar Jannach, Gediminas Adomavicius
2011	—	`conf`	Recommendation by Example in Social Annotation Systems. EC-Web Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke
2011	J	`jnl`	Recommender Systems in Requirements Engineering. AI Mag. Bamshad Mobasher, Jane Cleland-Huang
2011	A	`conf`	Tag-Based Resource Recommendation in Social Annotation Applications. UMAP Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke
2010	A	`conf`	2nd workshop on recommender systems and the social web. RecSys Werner Geyer, Jill Freyne, Bamshad Mobasher, Sarabjot S. Anand, Casey Dugan
2010	A	`conf`	Hybrid tag recommendation for social annotation systems. CIKM Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke
2010	—	`conf`	Improving the effectiveness of collaborative recommendation with ontology-based user profiles. HetRec@RecSys Ahu Sieg, Bamshad Mobasher, Robin Burke
2010	—	`conf`	Ontology-Based Collaborative Recommendation. ITWP@UMAP Ahu Sieg, Bamshad Mobasher, Robin Burke
2010	—	`ed.`	Proceedings of the 8th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, ITWP@UMAP 2010, Big Island, HI, USA, June 20, 2010 ITWP@UMAP Bamshad Mobasher, Dietmar Jannach, Sarabjot Singh Anand
2010	—	`conf`	Resource Recommendation in Collaborative Tagging Applications. EC-Web Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke
2009	—	`conf`	A Fast Effective Multi-Channeled Tag Recommender. DC@PKDD/ECML Jonathan Gemmell, Maryam Ramezani, Thomas Schimoler, Laura Christiansen, Bamshad Mobasher
2009	A	`conf`	A recommender system for dynamically evolving online forums. RecSys Carlos Castro-Herrera, Jane Cleland-Huang, Bamshad Mobasher
2009	Misc	`conf`	A recommender system for requirements elicitation in large-scale software projects. SAC Carlos Castro-Herrera, Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher
2009	J	`jnl`	AAAI 2008 Workshop Reports. AI Mag. Razvan C. Bunescu, Vitor R. Carvalho, Jan Chomicki, Vincent Conitzer, Michael T. Cox, Virginia Dignum, Zachary Dodds, Mark Dredze, David Furcy, Evgeniy Gabrilovich, Mehmet H. Göker, Hans W. Guesgen, Haym Hirsh, Dietmar Jannach, Ulrich Junker, Wolfgang Ketter, Alfred Kobsa, Sven Koenig, Tessa A. Lau, Lundy Lewis, Eric T. Matson, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Joelle Pineau, Pascal Poupart, Anita Raja, Wheeler Ruml, Norman M. Sadeh, Guy Shani, Daniel G. Shapiro, Sarabjot Singh Anand, Matthew E. Taylor, Kiri Wagstaff, Trey Smith, William E. Walsh, Rong Zhou
2009	—	`conf`	Adapting K-Nearest Neighbor for Tag Recommendation in Folksonomies. ITWP Jonathan Gemmell, Thomas Schimoler, Maryam Ramezani, Bamshad Mobasher
2009	—	`ed.`	Advances in Web Mining and Web Usage Analysis, 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised Papers WebKDD/SNAKDD Haizheng Zhang, Myra Spiliopoulou, Bamshad Mobasher, C. Lee Giles, Andrew McCallum, Olfa Nasraoui, Jaideep Srivastava, John Yen
2009	A	`conf`	Enhancing Stakeholder Profiles to Improve Recommendations in Online Requirements Elicitation. RE Carlos Castro-Herrera, Jane Cleland-Huang, Bamshad Mobasher
2009	—	`conf`	Evaluating the Impact of Attacks in Collaborative Tagging Environments. CSE (4) Maryam Ramezani, Jeff J. Sandvig, Thomas Schimoler, Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke
2009	J	`jnl`	Preface to the special issue on data mining for personalization. User Model. User Adapt. Interact. Bamshad Mobasher, Alexander Tuzhilin
2009	—	`ed.`	Proceedings of the 7th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems (ITWP'09), Pasadena, California, USA, July 11-17, 2009 in conjunction with the 21st International Joint Conference on Artificial Intelligence - IJCAI 2009 ITWP Sarabjot S. Anand, Bamshad Mobasher, Alfred Kobsa, Dietmar Jannach
2009	A	`conf`	The impact of ambiguity and redundancy on tag recommendation in folksonomies. RecSys Jonathan Gemmell, Maryam Ramezani, Thomas Schimoler, Laura Christiansen, Bamshad Mobasher
2009	—	`ch.`	Web Mining Overview. Encyclopedia of Data Warehousing and Mining Bamshad Mobasher
2009	A	`conf`	Workshop on recommender systems and the social web. RecSys Dietmar Jannach, Werner Geyer, Casey Dugan, Jill Freyne, Sarabjot S. Anand, Bamshad Mobasher, Alfred Kobsa
2008	J	`jnl`	A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms. IEEE Data Eng. Bull. Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
2008	A	`conf`	A consensus based approach to constrained clustering of software requirements. CIKM Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher
2008	A	`conf`	International workshop on recommendation and collaboration (ReColl 2008). IUI Lawrence D. Bergman, Jihie Kim, Bamshad Mobasher, Stefan M. Rüger, Stefan Siersdorfer, Sergej Sizov, Markus Stolze
2008	A	`conf`	Personalized recommendation in social tagging systems using hierarchical clustering. RecSys Andriy Shepitsen, Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke
2008	B	`conf`	Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering. DaWaK Jonathan Gemmell, Andriy Shepitsen, Bamshad Mobasher, Robin D. Burke
2008	A	`ed.`	Proceedings of the 2008 ACM Conference on Recommender Systems, RecSys 2008, Lausanne, Switzerland, October 23-25, 2008 RecSys Pearl Pu, Derek G. Bridge, Bamshad Mobasher, Francesco Ricci
2008	A	`conf`	Using Data Mining and Recommender Systems to Facilitate Large-Scale, Open, and Inclusive Requirements Elicitation Processes. RE Carlos Castro-Herrera, Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher
2008	—	`conf`	Using data mining and recommender systems to scale up the requirements process. ULSSIS@ICSE Jane Cleland-Huang, Bamshad Mobasher
2008	J	`jnl`	WebKDD 2008: 10 years of knowledge discovery on the web post-workshop report. SIGKDD Explor. Olfa Nasraoui, Myra Spiliopoulou, Osmar R. Zaïane, Jaideep Srivastava, Bamshad Mobasher
2007	J	`jnl`	AAAI-07 Workshop Reports. AI Mag. Sarabjot Singh Anand, Daniel Bahls, Catherina Burghart, Mark H. Burstein, Huajun Chen, John Collins, Thomas G. Dietterich, Jon Doyle, Chris Drummond, William Elazmeh, Christopher W. Geib, Judy Goldsmith, Hans W. Guesgen, Jim Hendler, Dietmar Jannach, Nathalie Japkowicz, Ulrich Junker, Gal A. Kaminka, Alfred Kobsa, Jérôme Lang, David B. Leake, Lundy Lewis, Gerard Ligozat, Sofus A. Macskassy, Drew V. McDermott, Ted Metzler, Bamshad Mobasher, Ullas Nambiar, Zaiqing Nie, Klas Orsvärn, Barry O'Sullivan, David V. Pynadath, Jochen Renz, Rita V. Rodríguez, Thomas Roth-Berghofer, Stefan Schulz, Rudi Studer, Yimin Wang, Michael P. Wellman
2007	—	`ed.`	Advances in Web Mining and Web Usage Analysis, 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006, Philadelphia, PA, USA, August 20, 2006, Revised Papers WebKDD Olfa Nasraoui, Myra Spiliopoulou, Jaideep Srivastava, Bamshad Mobasher, Brij M. Masand
2007	J	`jnl`	Attacks and Remedies in Collaborative Recommendation. IEEE Intell. Syst. Bamshad Mobasher, Robin D. Burke, Runa Bhaumik, Jeff J. Sandvig
2007	—	`conf`	Crawling Attacks Against Web-based Recommender Systems. DMIN Runa Bhaumik, Robin D. Burke, Bamshad Mobasher
2007	—	`conf`	Data Mining for Web Personalization. The Adaptive Web Bamshad Mobasher
2007	J	`jnl`	Defending recommender systems: detection of profile injection attacks. Serv. Oriented Comput. Appl. Chad Williams, Bamshad Mobasher, Robin D. Burke
2007	—	`conf`	Impact of Relevance Measures on the Robustness and Accuracy of Collaborative Filtering. EC-Web Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
2007	J	`jnl`	Introduction to intelligent techniques for Web personalization. ACM Trans. Internet Techn. Sarabjot S. Anand, Bamshad Mobasher
2007	J	`jnl`	Learning Ontology-Based User Profiles: A Semantic Approach to Personalized Web Search. IEEE Intell. Informatics Bull. Ahu Sieg, Bamshad Mobasher, Robin D. Burke
2007	—	`conf`	Ontological User Profiles for Representing Context in Web Search. Web Intelligence/IAT Workshops Ahu Sieg, Bamshad Mobasher, Robin D. Burke
2007	J	`jnl`	Recommender Systems. Künstliche Intell. Bamshad Mobasher
2007	—	`conf`	Representing Context in Web Search with Ontological User Profiles. CONTEXT Ahu Sieg, Bamshad Mobasher, Robin D. Burke
2007	A	`conf`	Robustness of collaborative recommendation based on association rule mining. RecSys Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
2007	J	`jnl`	Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness. ACM Trans. Internet Techn. Bamshad Mobasher, Robin D. Burke, Runa Bhaumik, Chad Williams
2007	A	`conf`	Web search personalization with ontological user profiles. CIKM Ahu Sieg, Bamshad Mobasher, Robin D. Burke
2007	J	`jnl`	WebKDD/SNAKDD 2007: web mining and social network analysis post-workshop report. SIGKDD Explor. Haizheng Zhang, John Yen, C. Lee Giles, Bamshad Mobasher, Myra Spiliopoulou, Jaideep Srivastava, Olfa Nasraoui, Andrew McCallum
2006	—	`ed.`	Advances in Web Mining and Web Usage Analysis, 6th International Workshop on Knowledge Discovery on the Web, WebKDD 2004, Seattle, WA, USA, August 22-25, 2004, Revised Selected Papers WebKDD Bamshad Mobasher, Olfa Nasraoui, Bing Liu, Brij M. Masand
2006	—	`ed.`	Advances in Web Mining and Web Usage Analysis, 7th International Workshop on Knowledge Discovery on the Web, WebKDD 2005, Chicago, IL, USA, August 21, 2005. Revised Papers WebKDD Olfa Nasraoui, Osmar R. Zaïane, Myra Spiliopoulou, Bamshad Mobasher, Brij M. Masand, Philip S. Yu
2006	A*	`conf`	Classification features for attack detection in collaborative recommender systems. KDD Robin D. Burke, Bamshad Mobasher, Chad Williams, Runa Bhaumik
2006	—	`conf`	Contextual Recommendation. WebMine Sarabjot S. Anand, Bamshad Mobasher
2006	—	`conf`	Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based Approach. WebKDD Chad Williams, Bamshad Mobasher, Robin D. Burke, Runa Bhaumik
2006	—	`conf`	Detecting Profile Injection Attacks in Collaborative Recommender Systems. CEC/EEE Robin D. Burke, Bamshad Mobasher, Chad Williams, Runa Bhaumik
2006	A*	`conf`	Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks. AAAI Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig
2006	J	`jnl`	Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Mag. Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Douglas E. Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve J. Young, Dmitry Zelenko
2006	—	`conf`	Web User Segmentation Based on a Mixture of Factor Analyzers. EC-Web Yanzan Zhou, Bamshad Mobasher
2006	J	`jnl`	WebKDD 2006: web mining and web usage analysis post-workshop report. SIGKDD Explor. Olfa Nasraoui, Myra Spiliopoulou, Jaideep Srivastava, Bamshad Mobasher, Brij M. Masand
2005	—	`conf`	A Web Recommendation System Based on Maximum Entropy. ITCC (1) Xin Jin, Bamshad Mobasher, Yanzan Zhou
2005	A*	`conf`	A maximum entropy web recommendation system: combining collaborative and content features. KDD Xin Jin, Yanzan Zhou, Bamshad Mobasher
2005	—	`conf`	Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation. WebKDD Bamshad Mobasher, Robin D. Burke, Chad Williams, Runa Bhaumik
2005	—	`ed.`	Intelligent Techniques for Web Personalization, IJCAI 2003 Workshop, ITWP 2003, Acapulco, Mexico, August 11, 2003, Revised Selected Papers ITWP Bamshad Mobasher, Sarabjot S. Anand
2005	A*	`conf`	Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems. ICDM Robin D. Burke, Bamshad Mobasher, Runa Bhaumik, Chad Williams
2005	—	`conf`	Task-Oriented Web User Modeling for Recommendation. User Modeling Xin Jin, Yanzan Zhou, Bamshad Mobasher
2005	J	`jnl`	The Workshop Program at the Nineteenth National Conference on Artificial Intelligence. AI Mag. Ion Muslea, Virginia Dignum, Daniel D. Corkill, Catholijn M. Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William Cheetham, Kai Goebel, Piero P. Bonissone, Leen-Kiat Soh, Randolph M. Jones, Robert E. Wray III, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharous, Doina Precup, Bamshad Mobasher, Sarabjot S. Anand, Bettina Berendt, Andreas Hotho, Hans W. Guesgen, Michael T. Rosenstein, Mohammad Ghavamzadeh
2005	J	`jnl`	WebKDD 2005: web mining and web usage analysis post-workshop report. SIGKDD Explor. Olfa Nasraoui, Osmar R. Zaïane, Myra Spiliopoulou, Bamshad Mobasher, Brij M. Masand, Philip S. Yu
2004	—	`conf`	A Recommendation Model Based on Latent Principal Factors in Web Navigation Data. WebDyn@WWW Yanzan Zhou, Xin Jin, Bamshad Mobasher
2004	—	`ch.`	Web Usage Mining and Personalization. The Practical Handbook of Internet Computing Bamshad Mobasher
2004	A*	`conf`	Web usage mining based on probabilistic latent semantic analysis. KDD Xin Jin, Yanzan Zhou, Bamshad Mobasher
2004	J	`jnl`	WebKDD 2004: web mining and web usage analysis post-workshop report. SIGKDD Explor. Olfa Nasraoui, Bamshad Mobasher, Brij M. Masand, Bing Liu
2003	J	`jnl`	A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis. INFORMS J. Comput. Myra Spiliopoulou, Bamshad Mobasher, Bettina Berendt, Miki Nakagawa
2003	—	`conf`	A Road Map to More Effective Web Personalization: Integrating Domain Knowledge with Web Usage Mining. International Conference on Internet Computing Honghua (Kathy) Dai, Bamshad Mobasher
2003	—	`conf`	Concept Based Query Enhancement in the ARCH Search Agent. International Conference on Internet Computing Ahu Sieg, Bamshad Mobasher, Steven L. Lytinen, Robin D. Burke
2003	—	`conf`	Intelligent Techniques for Web Personalization. ITWP Sarabjot S. Anand, Bamshad Mobasher
2003	—	`conf`	Semantically Enhanced Collaborative Filtering on the Web. EWMF Bamshad Mobasher, Xin Jin, Yanzan Zhou
2002	J	`jnl`	Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization. Data Min. Knowl. Discov. Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa
2002	—	`conf`	The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis. WebKDD Bettina Berendt, Bamshad Mobasher, Miki Nakagawa, Myra Spiliopoulou
2002	A*	`conf`	Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks. ICDM Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa
2001	J	`jnl`	Decision Processes in Agent-Based Automated Contracting. IEEE Internet Comput. John Collins, Corey Bilot, Maria L. Gini, Bamshad Mobasher
2001	—	`conf`	Effective personalization based on association rule discovery from web usage data. WIDM Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa
2000	J	`jnl`	Automatic personalization based on Web usage mining. Commun. ACM Bamshad Mobasher, Robert Cooley, Jaideep Srivastava
2000	—	`conf`	Integrating Web Usage and Content Mining for More Effective Personalization. EC-Web Bamshad Mobasher, Honghua Dai, Tao Luo, Yuqing Sun, Jiang Zhu
1999	—	`conf`	Bid Selection Strategies for Multi-agent Contracting in the Presence of Scheduling Constraints. Agent Mediated Electronic Commerce (IJCAI Workshop) John Collins, Rashmi Sundareswara, Maria L. Gini, Bamshad Mobasher
1999	J	`jnl`	Data Preparation for Mining World Wide Web Browsing Patterns. Knowl. Inf. Syst. Robert Cooley, Bamshad Mobasher, Jaideep Srivastava
1999	J	`jnl`	Document Categorization and Query Generation on the World Wide Web Using WebACE. Artif. Intell. Rev. Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore
1999	—	`conf`	Evaluating Risk: Flexibility and Feasibility in Multi-Agent Contracting. Agents John Collins, Maksim Tsvetovat, Rashmi Sundareswara, Joshua van Tonder, Maria L. Gini, Bamshad Mobasher
1999	J	`jnl`	Partitioning-based clustering for Web document categorization. Decis. Support Syst. Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore
1998	—	`conf`	A Market Architecture for Multi-Agent Contracting. Agents John Collins, Ben Youngdahl, Scott Jamison, Bamshad Mobasher, Maria L. Gini
1998	J	`jnl`	A client-side Web agent for document categorization. Internet Res. Daniel Boley, Maria L. Gini, Kyle Hastings, Bamshad Mobasher, Jerry Moore
1998	—	`conf`	Bid Evaluation and Selection in the MAGNET Automated Contracting System. AMET Erik S. Steinmetz, John Collins, Scott Jamison, Rashmi Sundareswara, Bamshad Mobasher, Maria L. Gini
1998	J	`jnl`	Hypergraph Based Clustering in High-Dimensional Data Sets: A Summary of Results. IEEE Data Eng. Bull. Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher
1998	—	`conf`	WebACE: A Web Agent for Document Categorization and Exploration. Agents Eui-Hong Han, Daniel Boley, Maria L. Gini, Robert Gross, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore
1997	—	`conf`	Clustering Based On Association Rule Hypergraphs. DMKD Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher
1997	J	`jnl`	Magma: An Agent Based Virtual Market for Electronic Commerce. Appl. Artif. Intell. Maksim Tsvetovatyy, Maria L. Gini, Bamshad Mobasher, Zbigniew Wieckowski
1997	J	`jnl`	Multi-Valued Logic Programming Semantics: An Algebraic Approach. Theor. Comput. Sci. Bamshad Mobasher, Don Pigozzi, Giora Slutzki
1997	B	`conf`	Web Mining: Information and Pattern Discovery on the World Wide Web. ICTAI Robert Cooley, Bamshad Mobasher, Jaideep Srivastava
1993	B	`conf`	Negation as Partial Failure. LPNMR Bamshad Mobasher, Jacek Leszczylowski, Don Pigozzi