| 2025 | EMNLP | SENTRA: Selected-Next-Token Transformer for LLM Text Detection. | Mitchell Plyler, Yilun Zhang, Alexander Tuzhilin, Saoud Khalifah, Sen Tian |
| 2025 | RecSys | Workshop on Context-Aware Recommender Systems. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger |
| 2024 | RecSys | Workshop on Context-Aware Recommender Systems (CARS) 2024. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger |
| 2023 | ICDE | Hierarchical Contextual Embeddings for Context-Aware Recommendations (Extended Abstract). | Moshe Unger, Alexander Tuzhilin |
| 2023 | RecSys | Workshop on Context-Aware Recommender Systems 2023. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger |
| 2022 | RecSys | CARS: Workshop on Context-Aware Recommender Systems 2022. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger |
| 2022 | SIGMOD | CoLES: Contrastive Learning for Event Sequences with Self-Supervision. | Dmitrii Babaev, Nikita Ovsov, Ivan Kireev, Mariya Ivanova, Gleb Gusev, Ivan Nazarov, Alexander Tuzhilin |
| 2021 | KDD | Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction. | Pan Li, Zhichao Jiang, Maofei Que, Yao Hu, Alexander Tuzhilin |
| 2021 | RecSys | Workshop on Context-Aware Recommender Systems (CARS) 2021. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger |
| 2020 | AIME | Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks. | Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin |
| 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 |
| 2020 | RecSys | PURS: Personalized Unexpected Recommender System for Improving User Satisfaction. | Pan Li, Maofei Que, Zhichao Jiang, Yao Hu, Alexander Tuzhilin |
| 2020 | RecSys | Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. | Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin |
| 2020 | WSDM | DDTCDR: Deep Dual Transfer Cross Domain Recommendation. | Pan Li, Alexander Tuzhilin |
| 2019 | EMNLP | Towards Controllable and Personalized Review Generation. | Pan Li, Alexander Tuzhilin |
| 2019 | KDD | E.T.-RNN: Applying Deep Learning to Credit Loan Applications. | Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov |
| 2019 | MICCAI | Radiologist-Level Stroke Classification on Non-contrast CT Scans with Deep U-Net. | Manvel Avetisian, Vladimir Kokh, Alexander Tuzhilin, Dmitry Umerenkov |
| 2019 | RecSys | Workshop on context-aware recommender systems. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger |
| 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 | Latent Modeling of Unexpectedness for Recommendations. | Pan Li, Alexander Tuzhilin |
| 2019 | RecSys | Latent multi-criteria ratings for recommendations. | Pan Li, Alexander Tuzhilin |
| 2017 | KDD | Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews. | Konstantin Bauman, Bing Liu, Alexander Tuzhilin |
| 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 | RecSys | Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews. | Konstantin Bauman, Bing Liu, Alexander Tuzhilin |
| 2015 | ICIS | The Business Value of Recommendations: A Privacy-Preserving Econometric Analysis. | Panagiotis Adamopoulos, Alexander Tuzhilin |
| 2015 | RecSys | Measuring the Concentration Reinforcement Bias of Recommender Systems. | Panagiotis Adamopoulos, Alexander Tuzhilin, Peter Mountanos |
| 2015 | SIGIR | Where to Go on Your Next Trip?: Optimizing Travel Destinations Based on User Preferences. | Julia Kiseleva, Melanie J. I. Mller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Jaap Kamps, Alexander Tuzhilin, Djoerd Hiemstra |
| 2014 | RecSys | Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems. | Panagiotis Adamopoulos, Alexander Tuzhilin |
| 2014 | RecSys | On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems. | Panagiotis Adamopoulos, Alexander Tuzhilin |
| 2014 | RecSys | Discovering Contextual Information from User Reviews for Recommendation Purposes. | Konstantin Bauman, Alexander Tuzhilin |
| 2014 | RecSys | Recommending Learning Materials to Students by Identifying their Knowledge Gaps. | Konstantin Bauman, Alexander Tuzhilin |
| 2013 | RecSys | Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems. | Panagiotis Adamopoulos, Alexander Tuzhilin |
| 2013 | RecSys | Not by search alone: how recommendations complement search results. | Daria Dzyabura, Alexander Tuzhilin |
| 2012 | RecSys | 4th workshop on context-aware recommender systems (CARS 2012). | Gediminas Adomavicius, Linas Baltrunas, Ernesto William De Luca, Tim Hussein, Alexander Tuzhilin |
| 2011 | KDD | Cost-aware travel tour recommendation. | Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen |
| 2011 | RecSys | On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected. | Panagiotis Adamopoulos, Alexander Tuzhilin |
| 2011 | RecSys | 3rd workshop on context-aware recommender systems (CARS 2011). | Gediminas Adomavicius, Linas Baltrunas, Tim Hussein, Francesco Ricci, Alexander Tuzhilin |
| 2011 | RecSys | Collaborative filtering with collective training. | Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu |
| 2011 | RecSys | The effect of context-aware recommendations on customer purchasing behavior and trust. | Michele Gorgoglione, Umberto Panniello, Alexander Tuzhilin |
| 2010 | KDD | An energy-efficient mobile recommender system. | Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao, Marco Gruteser, Michael J. Pazzani |
| 2010 | RecSys | Context-awareness in recommender systems: research workshop and movie recommendation challenge. | Gediminas Adomavicius, Alexander Tuzhilin, Shlomo Berkovsky, Ernesto William De Luca, Alan Said |
| 2009 | RecSys | Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems. | Umberto Panniello, Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, Anto Pedone |
| 2009 | RecSys | Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models. | Akhmed Umyarov, Alexander Tuzhilin |
| 2008 | ICDM | Improving Collaborative Filtering Recommendations Using External Data. | Akhmed Umyarov, Alexander Tuzhilin |
| 2008 | KDD | Social networks: looking ahead. | Ravi Kumar, Alexander Tuzhilin, Christos Faloutsos, David D. Jensen, Gueorgi Kossinets, Jure Leskovec, Andrew Tomkins |
| 2008 | RecSys | Context-aware recommender systems. | Gediminas Adomavicius, Alexander Tuzhilin |
| 2008 | RecSys | The long tail of recommender systems and how to leverage it. | Yoon-Joo Park, Alexander Tuzhilin |
| 2007 | ICDM | Dynamic Micro Targeting: Fitness-Based Approach to Predicting Individual Preferences. | Tianyi Jiang, Alexander Tuzhilin |
| 2007 | RecSys | Leveraging aggregate ratings for better recommendations. | Akhmed Umyarov, Alexander Tuzhilin |
| 2006 | ICDE | Mining Actionable Patterns by Role Models. | Ke Wang, Yuelong Jiang, Alexander Tuzhilin |
| 2006 | ICDM | Personalization in Context: Does Context Matter When Building Personalized Customer Models? | Michele Gorgoglione, Cosimo Palmisano, Alexander Tuzhilin |
| 2006 | ICDM | Improving Personalization Solutions through Optimal Segmentation of Customer Bases. | Tianyi Jiang, Alexander Tuzhilin |
| 2005 | ICDM | Mining Patterns That Respond to Actions. | Yuelong Jiang, Ke Wang, Alexander Tuzhilin, Ada Wai-Chee Fu |
| 2004 | ICDM | Divide and Prosper: Comparing Models of Customer Behavior From Populations to Individuals. | Tianyi Jiang, Alexander Tuzhilin |
| 2004 | KDD | On the discovery of significant statistical quantitative rules. | Hong Zhang, Balaji Padmanabhan, Alexander Tuzhilin |
| 2002 | KDD | Handling very large numbers of association rules in the analysis of microarray data. | Alexander Tuzhilin, Gediminas Adomavicius |
| 2002 | KDD | Querying multiple sets of discovered rules. | Alexander Tuzhilin, Bing Liu |
| 2000 | KDD | Small is beautiful: discovering the minimal set of unexpected patterns. | Balaji Padmanabhan, Alexander Tuzhilin |
| 1999 | KDD | User Profiling in Personalization Applications Through Rule Discovery and Validation. | Gediminas Adomavicius, Alexander Tuzhilin |
| 1998 | KDD | A Belief-Driven Method for Discovering Unexpected Patterns. | Balaji Padmanabhan, Alexander Tuzhilin |
| 1997 | KDD | Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach. | Gediminas Adomavicius, Alexander Tuzhilin |
| 1996 | KDD | Pattern Discovery in Temporal Databases: A Temporal Logic Approach. | Balaji Padmanabhan, Alexander Tuzhilin |
| 1995 | KDD | On Subjective Measures of Interestingness in Knowledge Discovery. | Abraham Silberschatz, Alexander Tuzhilin |
| 1990 | VLDB | A Temporal Relational Algebra as Basis for Temporal Relational Completeness. | Alexander Tuzhilin, James Clifford |
| 1989 | ICDE | Querying and Controlling the Future Behaviour of Complex Objects. | Alexander Tuzhilin, Zvi M. Kedem |
| 1989 | PODS | Relational Database Behavior: Utilizing Relational Discrete Event Systems and Models. | Zvi M. Kedem, Alexander Tuzhilin |
| 1985 | PODS | A Semantic Approach to Correctness of Concurrent Transaction Executions. | Alexander Tuzhilin, Paul G. Spirakis |