A Semantic Approach to Correctness of Concurrent Transaction Executions. - Alexander Tuzhilin; Paul G. Spirakis (PODS, 1985)

Querying and Controlling the Future Behaviour of Complex Objects. - Alexander Tuzhilin; Zvi M. Kedem (ICDE, 1989)

Relational Database Behavior: Utilizing Relational Discrete Event Systems and Models. - Zvi M. Kedem; Alexander Tuzhilin (PODS, 1989)

Using relational discrete event systems and models for prediction of future behavior of databases. - Alexander Tuzhilin (1989)

A Temporal Relational Algebra as Basis for Temporal Relational Completeness. - Alexander Tuzhilin; James Clifford (VLDB, 1990)

On the Completeness of Query Languages for Grouped and Ungrouped Historical Data Models. - James Clifford; Albert Croker; Alexander Tuzhilin (Temporal Databases, 1993)

Applications of temporal Databases to Knowledge-based Simulations. - Alexander Tuzhilin (Temporal Databases, 1993)

Querying Datalog Programs with Temporal Logic. - Alexander Tuzhilin (Acta Informatica, 1993)

Abstract-Driven Pattern Discovery in Databases. - Vasant Dhar; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 1993)

On Completeness of Historical Relational Query Languages. - James Clifford; Albert Croker; Alexander Tuzhilin (ACM Trans. Database Syst., 1994)

On Subjective Measures of Interestingness in Knowledge Discovery. - Abraham Silberschatz; Alexander Tuzhilin (KDD, 1995)

On Temporal Grouping - James Clifford; Albert Croker; Fabio Grandi 001; Alexander Tuzhilin (Temporal Databases, 1995)

On Periodicity in Temporal Databases. - Alexander Tuzhilin; James Clifford (Inf. Syst., 1995)

Templar: A Knowledge-Based Language for Software Specifications Using Temporal Logic. - Alexander Tuzhilin (ACM Trans. Inf. Syst., 1995)

Extending Temporal Logic to Support High-Level Simulations. - Alexander Tuzhilin (ACM Trans. Model. Comput. Simul., 1995)

Pattern Discovery in Temporal Databases: A Temporal Logic Approach. - Balaji Padmanabhan; Alexander Tuzhilin (KDD, 1996)

Modeling Data-Intensive Reactive Systems with Relational Transition Systems. - Alexander Tuzhilin; Zvi M. Kedem (Acta Informatica, 1996)

Using query-driven simulations for querying outcomes of business processes. - P. Balasubramanian 002; Alexander Tuzhilin (Decis. Support Syst., 1996)

On Data Representation and Use in a Temporal Relational DBMS. - James Clifford; Albert Croker; Alexander Tuzhilin (Inf. Syst. Res., 1996)

What Makes Patterns Interesting in Knowledge Discovery Systems. - Abraham Silberschatz; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 1996)

Discovering Unexpected Patterns in Temporal Data Using Temporal Logic. - Gideon Berger; Alexander Tuzhilin (Temporal Databases, Dagstuhl, 1997)

A Pattern Discovery Algebra. - Alexander Tuzhilin (DMKD, 1997)

Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach. - Gediminas Adomavicius; Alexander Tuzhilin (KDD, 1997)

Providing information system support for simulations using the Cassandra+ system. - P. Balasubramanian 002; Alexander Tuzhilin (Ann. Oper. Res., 1997)

Editor's introduction to the special issue on knowledge discovery and its applications to business decision-making. - Alexander Tuzhilin (Decis. Support Syst., 1997)

A Belief-Driven Method for Discovering Unexpected Patterns. - Balaji Padmanabhan; Alexander Tuzhilin (KDD, 1998)

User Profiling in Personalization Applications Through Rule Discovery and Validation. - Gediminas Adomavicius; Alexander Tuzhilin (KDD, 1999)

Unexpectedness as a measure of interestingness in knowledge discovery. - Balaji Padmanabhan; Alexander Tuzhilin (Decis. Support Syst., 1999)

Small is beautiful: discovering the minimal set of unexpected patterns. - Balaji Padmanabhan; Alexander Tuzhilin (KDD, 2000)

Report on the KDD2000 Panel Personalization and Data Mining: Exploring the Synergies. - Alexander Tuzhilin (SIGKDD Explor., 2000)

Multidimensional Recommender Systems: A Data Warehousing Approach. - Gediminas Adomavicius; Alexander Tuzhilin (WELCOM, 2001)

Using Data Mining Methods to Build Customer Profiles. - Gediminas Adomavicius; Alexander Tuzhilin (Computer, 2001)

Expert-Driven Validation of Rule-Based User Models in Personalization Applications. - Gediminas Adomavicius; Alexander Tuzhilin (Data Min. Knowl. Discov., 2001)

Handling very large numbers of association rules in the analysis of microarray data. - Alexander Tuzhilin; Gediminas Adomavicius (KDD, 2002)

Querying multiple sets of discovered rules. - Alexander Tuzhilin; Bing Liu 001 (KDD, 2002)

Knowledge refinement based on the discovery of unexpected patterns in data mining. - Balaji Padmanabhan; Alexander Tuzhilin (Decis. Support Syst., 2002)

An Architecture of e-Butler: A Consumer-Centric Online Personalization System. - Gediminas Adomavicius; Alexander Tuzhilin (Int. J. Comput. Intell. Appl., 2002)

From the Guest Co-Editors. - Alexander Tuzhilin; Louiqa Raschid (INFORMS J. Comput., 2003)

On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities. - Balaji Padmanabhan; Alexander Tuzhilin (Manag. Sci., 2003)

Divide and Prosper: Comparing Models of Customer Behavior From Populations to Individuals. - Tianyi Jiang; Alexander Tuzhilin (ICDM, 2004)

On the discovery of significant statistical quantitative rules. - Hong Zhang; Balaji Padmanabhan; Alexander Tuzhilin (KDD, 2004)

Mining Patterns That Respond to Actions. - Yuelong Jiang; Ke Wang 001; Alexander Tuzhilin; Ada Wai-Chee Fu (ICDM, 2005)

Personalization technologies: a process-oriented perspective. - Gediminas Adomavicius; Alexander Tuzhilin (Commun. ACM, 2005)

Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. - Gediminas Adomavicius; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 2005)

Incorporating contextual information in recommender systems using a multidimensional approach. - Gediminas Adomavicius; Ramesh Sankaranarayanan; Shahana Sen; Alexander Tuzhilin (ACM Trans. Inf. Syst., 2005)

Mining Actionable Patterns by Role Models. - Ke Wang 001; Yuelong Jiang; Alexander Tuzhilin (ICDE, 2006)

Personalization in Context: Does Context Matter When Building Personalized Customer Models? - Michele Gorgoglione; Cosimo Palmisano; Alexander Tuzhilin (ICDM, 2006)

Segmenting Customers from Population to Individuals: Does 1-to-1 Keep Your Customers Forever? - Tianyi Jiang; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 2006)

On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery. - Balaji Padmanabhan; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 2006)

User Profiling with Hierarchical Context: An e-Retailer Case Study. - Cosimo Palmisano; Alexander Tuzhilin; Michele Gorgoglione (CONTEXT, 2007)

Leveraging aggregate ratings for better recommendations. - Akhmed Umyarov; Alexander Tuzhilin (RecSys, 2007)

Validation Sequence Optimization: A Theoretical Approach. - Gediminas Adomavicius; Alexander Tuzhilin (INFORMS J. Comput., 2007)

The Effect of Context on the Predictive Performance of Segmentation. - Maria Francesca Faraone; Michele Gorgoglione; Sabrina Lombardi; Cosimo Palmisano; Umberto Panniello; Alexander Tuzhilin (Web Intelligence/IAT Workshops, 2008)

Improving Collaborative Filtering Recommendations Using External Data. - Akhmed Umyarov; Alexander Tuzhilin (ICDM, 2008)

Social networks: looking ahead. - Ravi Kumar 001; Alexander Tuzhilin; Christos Faloutsos; David D. Jensen; Gueorgi Kossinets; Jure Leskovec; Andrew Tomkins (KDD, 2008)

Context-aware recommender systems. - Gediminas Adomavicius; Alexander Tuzhilin (RecSys, 2008)

The long tail of recommender systems and how to leverage it. - Yoon-Joo Park; Alexander Tuzhilin (RecSys, 2008)

Managing large collections of data mining models. - Bing Liu 001; Alexander Tuzhilin (Commun. ACM, 2008)

Using Context to Improve Predictive Modeling of Customers in Personalization Applications. - Cosimo Palmisano; Alexander Tuzhilin; Michele Gorgoglione (IEEE Trans. Knowl. Data Eng., 2008)

Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems. - Umberto Panniello; Alexander Tuzhilin; Michele Gorgoglione; Cosimo Palmisano; Anto Pedone (RecSys, 2009)

Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models. - Akhmed Umyarov; Alexander Tuzhilin (RecSys, 2009)

Dynamic micro-targeting: fitness-based approach to predicting individual preferences. - Tianyi Jiang; Alexander Tuzhilin (Knowl. Inf. Syst., 2009)

Improving Personalization Solutions through Optimal Segmentation of Customer Bases. - Tianyi Jiang; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 2009)

Preface to the special issue on data mining for personalization. - Bamshad Mobasher; Alexander Tuzhilin (User Model. User Adapt. Interact., 2009)

An energy-efficient mobile recommender system. - Yong Ge; Hui Xiong 001; Alexander Tuzhilin; Keli Xiao; Marco Gruteser; Michael J. Pazzani (KDD, 2010)

Context-awareness in recommender systems: research workshop and movie recommendation challenge. - Gediminas Adomavicius; Alexander Tuzhilin; Shlomo Berkovsky; Ernesto William De Luca; Alan Said (RecSys, 2010)

Cost-aware travel tour recommendation. - Yong Ge; Qi Liu 003; Hui Xiong 001; Alexander Tuzhilin; Jian Chen 016 (KDD, 2011)

On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected. - Panagiotis Adamopoulos; Alexander Tuzhilin (DiveRS@RecSys, 2011)

3rd workshop on context-aware recommender systems (CARS 2011). - Gediminas Adomavicius; Linas Baltrunas; Tim Hussein; Francesco Ricci 001; Alexander Tuzhilin (RecSys, 2011)

Collaborative filtering with collective training. - Yong Ge; Hui Xiong 001; Alexander Tuzhilin; Qi Liu 003 (RecSys, 2011)

The effect of context-aware recommendations on customer purchasing behavior and trust. - Michele Gorgoglione; Umberto Panniello; Alexander Tuzhilin (RecSys, 2011)

Context-Aware Recommender Systems. - Gediminas Adomavicius; Bamshad Mobasher; Francesco Ricci 001; Alexander Tuzhilin (AI Mag., 2011)

Social and Economic Computing. - Wenji Mao; Alexander Tuzhilin; Jonathan Gratch (IEEE Intell. Syst., 2011)

REQUEST: A Query Language for Customizing Recommendations. - Gediminas Adomavicius; Alexander Tuzhilin; Rong Zheng 003 (Inf. Syst. Res., 2011)

Knowledge management revisited: Old Dogs, New tricks. - Alexander Tuzhilin (ACM Trans. Manag. Inf. Syst., 2011)

Using external aggregate ratings for improving individual recommendations. - Akhmed Umyarov; Alexander Tuzhilin (ACM Trans. Web, 2011)

Context-Aware Recommender Systems. - Gediminas Adomavicius; Alexander Tuzhilin (Recommender Systems Handbook, 2011)

4th workshop on context-aware recommender systems (CARS 2012). - Gediminas Adomavicius; Linas Baltrunas; Ernesto William De Luca; Tim Hussein; Alexander Tuzhilin (RecSys, 2012)

Customer relationship management and Web mining: the next frontier. - Alexander Tuzhilin (Data Min. Knowl. Discov., 2012)

Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems. - Panagiotis Adamopoulos; Alexander Tuzhilin (RecSys, 2013)

Not by search alone: how recommendations complement search results. - Daria Dzyabura; Alexander Tuzhilin (RecSys, 2013)

Introduction to special section on intelligent mobile knowledge discovery and management systems. - Hui Xiong 001; Shashi Shekhar 001; Alexander Tuzhilin (ACM Trans. Intell. Syst. Technol., 2013)

Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems. - Panagiotis Adamopoulos; Alexander Tuzhilin (RecSys Posters, 2014)

On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems. - Panagiotis Adamopoulos; Alexander Tuzhilin (RecSys, 2014)

Discovering Contextual Information from User Reviews for Recommendation Purposes. - Konstantin Bauman; Alexander Tuzhilin (CBRecSys@RecSys, 2014)

Recommending Learning Materials to Students by Identifying their Knowledge Gaps. - Konstantin Bauman; Alexander Tuzhilin (RecSys Posters, 2014)

On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected. - Panagiotis Adamopoulos; Alexander Tuzhilin (ACM Trans. Intell. Syst. Technol., 2014)

Cost-Aware Collaborative Filtering for Travel Tour Recommendations. - Yong Ge; Hui Xiong 001; Alexander Tuzhilin; Qi Liu 003 (ACM Trans. Inf. Syst., 2014)

Comparing context-aware recommender systems in terms of accuracy and diversity. - Umberto Panniello; Alexander Tuzhilin; Michele Gorgoglione (User Model. User Adapt. Interact., 2014)

The Business Value of Recommendations: A Privacy-Preserving Econometric Analysis. - Panagiotis Adamopoulos; Alexander Tuzhilin (ICIS, 2015)

Measuring the Concentration Reinforcement Bias of Recommender Systems. - Panagiotis Adamopoulos; Alexander Tuzhilin; Peter Mountanos (RecSys Posters, 2015)

Where to Go on Your Next Trip?: Optimizing Travel Destinations Based on User Preferences. - Julia Kiseleva; Melanie J. I. Müller; Lucas Bernardi; Chad Davis; Ivan Kovacek; Mats Stafseng Einarsen; Jaap Kamps; Alexander Tuzhilin; Djoerd Hiemstra (SIGIR, 2015)

Context-Aware Recommender Systems. - Gediminas Adomavicius; Alexander Tuzhilin (Recommender Systems Handbook, 2015)

Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews. - Konstantin Bauman; Bing Liu 001; Alexander Tuzhilin (CBRecSys@RecSys, 2016)

Recommender systems - : beyond matrix completion. - Dietmar Jannach; Paul Resnick; Alexander Tuzhilin; Markus Zanker (Commun. ACM, 2016)

Beyond Movie Recommendations: Solving the Continuous Cold Start Problem in E-commerceRecommendations. - Julia Kiseleva; Alexander Tuzhilin; Jaap Kamps; Melanie J. I. Müller; Lucas Bernardi; Chad Davis; Ivan Kovacek; Mats Stafseng Einarsen; Djoerd Hiemstra (CoRR, 2016)

Research Note - In CARSs We Trust: How Context-Aware Recommendations Affect Customers' Trust and Other Business Performance Measures of Recommender Systems. - Umberto Panniello; Michele Gorgoglione; Alexander Tuzhilin (Inf. Syst. Res., 2016)

Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews. - Konstantin Bauman; Bing Liu 001; Alexander Tuzhilin (KDD, 2017)

Workshop on Recommendation in Complex Scenarios: (ComplexRec 2017). - Toine Bogers; Marijn Koolen; Bamshad Mobasher; Alan Said; Alexander Tuzhilin (RecSys, 2017)

Using Social Sensors for Detecting Emergency Events: A Case of Power Outages in the Electrical Utility Industry. - Konstantin Bauman; Alexander Tuzhilin; Ryan Zaczynski (ACM Trans. Manag. Inf. Syst., 2017)

YASENN: Explaining Neural Networks via Partitioning Activation Sequences. - Yaroslav Zharov; Denis Korzhenkov; Pavel Shvechikov; Alexander Tuzhilin (CoRR, 2018)

Recommending Remedial Learning Materials to Students by Filling Their Knowledge Gaps. - Konstantin Bauman; Alexander Tuzhilin (MIS Q., 2018)

Towards Controllable and Personalized Review Generation. - Pan Li 008; Alexander Tuzhilin (EMNLP/IJCNLP (1), 2019)

E.T.-RNN: Applying Deep Learning to Credit Loan Applications. - Dmitrii Babaev; Maxim Savchenko; Alexander Tuzhilin; Dmitrii Umerenkov (KDD, 2019)

Radiologist-Level Stroke Classification on Non-contrast CT Scans with Deep U-Net. - Manvel Avetisian; Vladimir Kokh; Alexander Tuzhilin; Dmitry Umerenkov (MICCAI (3), 2019)

Third workshop on recommendation in complex scenarios (ComplexRec 2019). - Marijn Koolen; Toine Bogers; Bamshad Mobasher; Alexander Tuzhilin (RecSys, 2019)

Overview of the Workshop on Recommendation in Complex Scenarios 2019 (ComplexRec 2019). - Marijn Koolen; Toine Bogers; Bamshad Mobasher; Alexander Tuzhilin (ComplexRec@RecSys, 2019)

Latent Modeling of Unexpectedness for Recommendations. - Pan Li 008; Alexander Tuzhilin (RecSys (Late-Breaking Results), 2019)

Latent multi-criteria ratings for recommendations. - Pan Li 008; Alexander Tuzhilin (RecSys, 2019)

Latent Unexpected and Useful Recommendation. - Pan Li 008; Alexander Tuzhilin (CoRR, 2019)

Recommendation strategies in personalization applications. - Michele Gorgoglione; Umberto Panniello; Alexander Tuzhilin (Inf. Manag., 2019)

Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks. - Pavel Blinov; Manvel Avetisian; Vladimir Kokh; Dmitry Umerenkov; Alexander Tuzhilin (AIME, 2020)

Workshop on Context-Aware Recommender Systems. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Francesco Ricci 001; Alexander Tuzhilin; Moshe Unger (RecSys, 2020)

ComplexRec 2020: Workshop on Recommendation in Complex Environments. - Toine Bogers; Marijn Koolen; Casper Petersen; Bamshad Mobasher; Alexander Tuzhilin (RecSys, 2020)

PURS: Personalized Unexpected Recommender System for Improving User Satisfaction. - Pan Li 008; Maofei Que; Zhichao Jiang; Yao Hu; Alexander Tuzhilin (RecSys, 2020)

Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. - Leyla Mirvakhabova; Evgeny Frolov; Valentin Khrulkov; Ivan V. Oseledets; Alexander Tuzhilin (RecSys, 2020)

DDTCDR: Deep Dual Transfer Cross Domain Recommendation. - Pan Li 008; Alexander Tuzhilin (WSDM, 2020)

Event sequence metric learning. - Dmitrii Babaev; Ivan Kireev; Nikita Ovsov; Mariya Ivanova; Gleb Gusev; Alexander Tuzhilin (CoRR, 2020)

Report on the fourth workshop on recommendation in complex environments: (ComplexRec 2020). - Toine Bogers; Marijn Koolen; Bamshad Mobasher; Casper Petersen; Alexander Tuzhilin (SIGIR Forum, 2020)

Latent Unexpected Recommendations. - Pan Li 008; Alexander Tuzhilin (ACM Trans. Intell. Syst. Technol., 2020)

Context-Aware Recommendations Based on Deep Learning Frameworks. - Moshe Unger; Alexander Tuzhilin; Amit Livne (ACM Trans. Manag. Inf. Syst., 2020)

Noise-resilient Automatic Interpretation of Holter ECG Recordings. - Konstantin Egorov; Elena Sokolova; Manvel Avetisian; Alexander Tuzhilin (BIOSIGNALS, 2021)

Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction. - Pan Li 008; Zhichao Jiang; Maofei Que; Yao Hu; Alexander Tuzhilin (KDD, 2021)

Workshop on Context-Aware Recommender Systems (CARS) 2021. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Francesco Ricci 001; Alexander Tuzhilin; Moshe Unger (RecSys, 2021)

LightAutoML: AutoML Solution for a Large Financial Services Ecosystem. - Anton Vakhrushev; Alexander Ryzhkov; Maxim Savchenko; Dmitry Simakov; Rinchin Damdinov; Alexander Tuzhilin (CoRR, 2021)

Route Recommendations for Intelligent Transportation Services. - Yong Ge; Huayu Li; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 2021)

CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning. - Manvel Avetisian; Ilya Burenko; Konstantin Egorov; Vladimir Kokh; Aleksandr Nesterov; Aleksandr Nikolaev; Alexander Ponomarchuk; Elena Sokolova; Alex Tuzhilin; Dmitry Umerenkov (ACM Trans. Manag. Inf. Syst., 2021)

CARS: Workshop on Context-Aware Recommender Systems 2022. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Francesco Ricci 001; Alexander Tuzhilin; Moshe Unger (RecSys, 2022)

CoLES: Contrastive Learning for Event Sequences with Self-Supervision. - Dmitrii Babaev; Nikita Ovsov; Ivan Kireev; Mariya Ivanova; Gleb Gusev; Ivan Nazarov; Alexander Tuzhilin (SIGMOD Conference, 2022)

The Long Tail of Context: Does it Exist and Matter? - Konstantin Bauman; Alexey Vasilev; Alexander Tuzhilin (CoRR, 2022)

Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes. - Konstantin Bauman; Alexander Tuzhilin (Inf. Syst. Res., 2022)

Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments. - Panagiotis Adamopoulos; Anindya Ghose; Alexander Tuzhilin (MIS Q., 2022)

Learning Latent Multi-Criteria Ratings From User Reviews for Recommendations. - Pan Li 008; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 2022)

Hierarchical Latent Context Representation for Context-Aware Recommendations. - Moshe Unger; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 2022)

Context-Aware Recommender Systems: From Foundations to Recent Developments. - Gediminas Adomavicius; Konstantin Bauman; Alexander Tuzhilin; Moshe Unger (Recommender Systems Handbook, 2022)

Hierarchical Contextual Embeddings for Context-Aware Recommendations (Extended Abstract). - Moshe Unger; Alexander Tuzhilin (ICDE, 2023)

Workshop on Context-Aware Recommender Systems 2023. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Alexander Tuzhilin; Moshe Unger (RecSys, 2023)

Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations. - Pan Li 008; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 2023)

Adversarial Learning for Cross Domain Recommendations. - Pan Li 008; Brian Brost; Alexander Tuzhilin (ACM Trans. Intell. Syst. Technol., 2023)

Don't Need All Eggs in One Basket: Reconstructing Composite Embeddings of Customers from Individual-Domain Embeddings. - Moshe Unger; Pan Li 008; Sahana (Shahana) Sen; Alexander Tuzhilin (ACM Trans. Manag. Inf. Syst., 2023)

Workshop on Context-Aware Recommender Systems (CARS) 2024. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Alexander Tuzhilin; Moshe Unger (RecSys, 2024)

Does the Long Tail of Context Exist and Matter? The Case of Dialogue-based Recommender Systems. - Konstantin Bauman; Alexey Vasilev; Alexander Tuzhilin (UMAP, 2024)

Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems. - Pan Li 008; Alexander Tuzhilin (CoRR, 2024)

When Variety Seeking Meets Unexpectedness: Incorporating Variety-Seeking Behaviors into Design of Unexpected Recommender Systems. - Pan Li 008; Alexander Tuzhilin (Inf. Syst. Res., 2024)

Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations. - Pan Li 008; Maofei Que; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 2024)

Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture. - Moshe Unger; Michel Wedel; Alexander Tuzhilin (Data Min. Knowl. Discov., 2024)

HyperCARS: Using Hyperbolic Embeddings for Generating Hierarchical Contextual Situations in Context-Aware Recommender Systems. - Konstantin Bauman; Alexander Tuzhilin; Moshe Unger (Inf. Syst. Res., 2025)

STARE: Predicting Decision Making Based on Spatio-Temporal Eye Movements. - Moshe Unger; Alexander Tuzhilin; Michel Wedel (CoRR, 2025)