Alexander Tuzhilin

177 papers A* 29A 30B 1C 1Journal 86Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	HyperCARS: Using Hyperbolic Embeddings for Generating Hierarchical Contextual Situations in Context-Aware Recommender Systems. Inf. Syst. Res. Konstantin Bauman, Alexander Tuzhilin, Moshe Unger
2025	—	`conf`	SENTRA: Selected-Next-Token Transformer for LLM Text Detection. EMNLP (Findings) Mitchell Plyler, Yilun Zhang, Alexander Tuzhilin, Saoud Khalifah, Sen Tian
2025	J	`jnl`	SENTRA: Selected-Next-Token Transformer for LLM Text Detection. CoRR Mitchell Plyler, Yilun Zhang, Alexander Tuzhilin, Saoud Khalifah, Sen Tian
2025	J	`jnl`	STARE: Predicting Decision Making Based on Spatio-Temporal Eye Movements. CoRR Moshe Unger, Alexander Tuzhilin, Michel Wedel
2025	A	`conf`	Workshop on Context-Aware Recommender Systems. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
2024	J	`jnl`	Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems. CoRR Pan Li, Alexander Tuzhilin
2024	A	`conf`	Does the Long Tail of Context Exist and Matter? The Case of Dialogue-based Recommender Systems. UMAP Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin
2024	J	`jnl`	Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations. IEEE Trans. Knowl. Data Eng. Pan Li, Maofei Que, Alexander Tuzhilin
2024	J	`jnl`	Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture. Data Min. Knowl. Discov. Moshe Unger, Michel Wedel, Alexander Tuzhilin
2024	J	`jnl`	When Variety Seeking Meets Unexpectedness: Incorporating Variety-Seeking Behaviors into Design of Unexpected Recommender Systems. Inf. Syst. Res. Pan Li, Alexander Tuzhilin
2024	A	`conf`	Workshop on Context-Aware Recommender Systems (CARS) 2024. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
2023	J	`jnl`	Adversarial Learning for Cross Domain Recommendations. ACM Trans. Intell. Syst. Technol. Pan Li, Brian Brost, Alexander Tuzhilin
2023	J	`jnl`	Don't Need All Eggs in One Basket: Reconstructing Composite Embeddings of Customers from Individual-Domain Embeddings. ACM Trans. Manag. Inf. Syst. Moshe Unger, Pan Li, Sahana (Shahana) Sen, Alexander Tuzhilin
2023	J	`jnl`	Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations. IEEE Trans. Knowl. Data Eng. Pan Li, Alexander Tuzhilin
2023	A*	`conf`	Hierarchical Contextual Embeddings for Context-Aware Recommendations (Extended Abstract). ICDE Moshe Unger, Alexander Tuzhilin
2023	A	`conf`	Workshop on Context-Aware Recommender Systems 2023. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
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	—	`conf`	CoLES: Contrastive Learning for Event Sequences with Self-Supervision. SIGMOD Conference Dmitrii Babaev, Nikita Ovsov, Ivan Kireev, Mariya Ivanova, Gleb Gusev, Ivan Nazarov, Alexander Tuzhilin
2022	—	`ch.`	Context-Aware Recommender Systems: From Foundations to Recent Developments. Recommender Systems Handbook Gediminas Adomavicius, Konstantin Bauman, Alexander Tuzhilin, Moshe Unger
2022	J	`jnl`	Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments. MIS Q. Panagiotis Adamopoulos, Anindya Ghose, Alexander Tuzhilin
2022	J	`jnl`	Hierarchical Latent Context Representation for Context-Aware Recommendations. IEEE Trans. Knowl. Data Eng. Moshe Unger, Alexander Tuzhilin
2022	J	`jnl`	Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes. Inf. Syst. Res. Konstantin Bauman, Alexander Tuzhilin
2022	J	`jnl`	Learning Latent Multi-Criteria Ratings From User Reviews for Recommendations. IEEE Trans. Knowl. Data Eng. Pan Li, Alexander Tuzhilin
2022	J	`jnl`	The Long Tail of Context: Does it Exist and Matter? CoRR Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin
2021	J	`jnl`	CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning. CoRR Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alexander Tuzhilin, Dmitry Umerenkov
2021	A*	`conf`	Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction. KDD Pan Li, Zhichao Jiang, Maofei Que, Yao Hu, Alexander Tuzhilin
2021	J	`jnl`	Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction. CoRR Pan Li, Zhichao Jiang, Maofei Que, Yao Hu, Alexander Tuzhilin
2021	J	`jnl`	Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations. CoRR Pan Li, Alexander Tuzhilin
2021	J	`jnl`	Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments. CoRR Panagiotis Adamopoulos, Anindya Ghose, Alexander Tuzhilin
2021	J	`jnl`	LightAutoML: AutoML Solution for a Large Financial Services Ecosystem. CoRR Anton Vakhrushev, Alexander Ryzhkov, Maxim Savchenko, Dmitry Simakov, Rinchin Damdinov, Alexander Tuzhilin
2021	—	`conf`	Noise-resilient Automatic Interpretation of Holter ECG Recordings. BIOSIGNALS Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin
2021	J	`jnl`	PURS: Personalized Unexpected Recommender System for Improving User Satisfaction. CoRR Pan Li, Maofei Que, Zhichao Jiang, Yao Hu, Alexander Tuzhilin
2021	J	`jnl`	Route Recommendations for Intelligent Transportation Services. IEEE Trans. Knowl. Data Eng. Yong Ge, Huayu Li, Alexander Tuzhilin
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	A	`conf`	ComplexRec 2020: Workshop on Recommendation in Complex Environments. RecSys Toine Bogers, Marijn Koolen, Casper Petersen, Bamshad Mobasher, Alexander Tuzhilin
2020	J	`jnl`	Context-Aware Recommendations Based on Deep Learning Frameworks. ACM Trans. Manag. Inf. Syst. Moshe Unger, Alexander Tuzhilin, Amit Livne
2020	A	`conf`	DDTCDR: Deep Dual Transfer Cross Domain Recommendation. WSDM Pan Li, Alexander Tuzhilin
2020	J	`jnl`	Event sequence metric learning. CoRR Dmitrii Babaev, Ivan Kireev, Nikita Ovsov, Mariya Ivanova, Gleb Gusev, Alexander Tuzhilin
2020	J	`jnl`	Latent Unexpected Recommendations. CoRR Pan Li, Alexander Tuzhilin
2020	J	`jnl`	Latent Unexpected Recommendations. ACM Trans. Intell. Syst. Technol. Pan Li, Alexander Tuzhilin
2020	J	`jnl`	Noise-Resilient Automatic Interpretation of Holter ECG Recordings. CoRR Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin
2020	A	`conf`	PURS: Personalized Unexpected Recommender System for Improving User Satisfaction. RecSys Pan Li, Maofei Que, Zhichao Jiang, Yao Hu, Alexander Tuzhilin
2020	A	`conf`	Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. RecSys Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin
2020	J	`jnl`	Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. CoRR Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin
2020	B	`conf`	Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks. AIME Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin
2020	J	`jnl`	Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks. CoRR Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin
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`	Radiologist-level stroke classification on non-contrast CT scans with Deep U-Net. CoRR Manvel Avetisian, Vladimir Kokh, Alexander Tuzhilin, Dmitry Umerenkov
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	A	`conf`	Workshop on Context-Aware Recommender Systems. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2019	J	`jnl`	DDTCDR: Deep Dual Transfer Cross Domain Recommendation. CoRR Pan Li, Alexander Tuzhilin
2019	A*	`conf`	E.T.-RNN: Applying Deep Learning to Credit Loan Applications. KDD Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov
2019	J	`jnl`	E.T.-RNN: Applying Deep Learning to Credit Loan Applications. CoRR Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov
2019	—	`conf`	Latent Modeling of Unexpectedness for Recommendations. RecSys (Late-Breaking Results) Pan Li, Alexander Tuzhilin
2019	J	`jnl`	Latent Multi-Criteria Ratings for Recommendations. CoRR Pan Li, Alexander Tuzhilin
2019	J	`jnl`	Latent Unexpected and Useful Recommendation. CoRR Pan Li, Alexander Tuzhilin
2019	A	`conf`	Latent multi-criteria ratings for recommendations. RecSys Pan Li, Alexander Tuzhilin
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	—	`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	—	`conf`	Radiologist-Level Stroke Classification on Non-contrast CT Scans with Deep U-Net. MICCAI (3) Manvel Avetisian, Vladimir Kokh, Alexander Tuzhilin, Dmitry Umerenkov
2019	J	`jnl`	Recommendation strategies in personalization applications. Inf. Manag. Michele Gorgoglione, Umberto Panniello, Alexander Tuzhilin
2019	A	`conf`	Third workshop on recommendation in complex scenarios (ComplexRec 2019). RecSys Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin
2019	—	`conf`	Towards Controllable and Personalized Review Generation. EMNLP/IJCNLP (1) Pan Li, Alexander Tuzhilin
2019	J	`jnl`	Towards Controllable and Personalized Review Generation. CoRR Pan Li, Alexander Tuzhilin
2019	A	`conf`	Workshop on context-aware recommender systems. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2018	J	`jnl`	Recommending Remedial Learning Materials to Students by Filling Their Knowledge Gaps. MIS Q. Konstantin Bauman, Alexander Tuzhilin
2018	J	`jnl`	YASENN: Explaining Neural Networks via Partitioning Activation Sequences. CoRR Yaroslav Zharov, Denis Korzhenkov, Pavel Shvechikov, Alexander Tuzhilin
2017	A*	`conf`	Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews. KDD Konstantin Bauman, Bing Liu, Alexander Tuzhilin
2017	A	`ed.`	Proceedings of the Eleventh ACM Conference on Recommender Systems, RecSys 2017, Como, Italy, August 27-31, 2017 RecSys Paolo Cremonesi, Francesco Ricci, Shlomo Berkovsky, Alexander Tuzhilin
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	J	`jnl`	Using Social Sensors for Detecting Emergency Events: A Case of Power Outages in the Electrical Utility Industry. ACM Trans. Manag. Inf. Syst. Konstantin Bauman, Alexander Tuzhilin, Ryan Zaczynski
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	J	`jnl`	Beyond Movie Recommendations: Solving the Continuous Cold Start Problem in E-commerceRecommendations. CoRR Julia Kiseleva, Alexander Tuzhilin, Jaap Kamps, Melanie J. I. Müller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Djoerd Hiemstra
2016	J	`jnl`	Recommender systems - : beyond matrix completion. Commun. ACM Dietmar Jannach, Paul Resnick, Alexander Tuzhilin, Markus Zanker
2016	—	`conf`	Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews. CBRecSys@RecSys Konstantin Bauman, Bing Liu, Alexander Tuzhilin
2016	J	`jnl`	Research Note - In CARSs We Trust: How Context-Aware Recommendations Affect Customers' Trust and Other Business Performance Measures of Recommender Systems. Inf. Syst. Res. Umberto Panniello, Michele Gorgoglione, Alexander Tuzhilin
2015	A*	`ed.`	2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015 ICDM Charu C. Aggarwal, Zhi-Hua Zhou, Alexander Tuzhilin, Hui Xiong, Xindong Wu
2015	—	`ch.`	Context-Aware Recommender Systems. Recommender Systems Handbook Gediminas Adomavicius, Alexander Tuzhilin
2015	—	`conf`	Measuring the Concentration Reinforcement Bias of Recommender Systems. RecSys Posters Panagiotis Adamopoulos, Alexander Tuzhilin, Peter Mountanos
2015	C	`conf`	The Business Value of Recommendations: A Privacy-Preserving Econometric Analysis. ICIS Panagiotis Adamopoulos, Alexander Tuzhilin
2015	J	`jnl`	Where to Go on Your Next Trip? Optimizing Travel Destinations Based on User Preferences. CoRR Julia Kiseleva, Melanie J. I. Müller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Jaap Kamps, Alexander Tuzhilin, Djoerd Hiemstra
2015	A*	`conf`	Where to Go on Your Next Trip?: Optimizing Travel Destinations Based on User Preferences. SIGIR Julia Kiseleva, Melanie J. I. Müller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Jaap Kamps, Alexander Tuzhilin, Djoerd Hiemstra
2014	J	`jnl`	Comparing context-aware recommender systems in terms of accuracy and diversity. User Model. User Adapt. Interact. Umberto Panniello, Alexander Tuzhilin, Michele Gorgoglione
2014	J	`jnl`	Cost-Aware Collaborative Filtering for Travel Tour Recommendations. ACM Trans. Inf. Syst. Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu
2014	—	`conf`	Discovering Contextual Information from User Reviews for Recommendation Purposes. CBRecSys@RecSys Konstantin Bauman, Alexander Tuzhilin
2014	—	`conf`	Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems. RecSys Posters Panagiotis Adamopoulos, Alexander Tuzhilin
2014	J	`jnl`	On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected. ACM Trans. Intell. Syst. Technol. Panagiotis Adamopoulos, Alexander Tuzhilin
2014	A	`conf`	On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems. RecSys Panagiotis Adamopoulos, Alexander Tuzhilin
2014	—	`conf`	Recommending Learning Materials to Students by Identifying their Knowledge Gaps. RecSys Posters Konstantin Bauman, Alexander Tuzhilin
2013	J	`jnl`	Introduction to special section on intelligent mobile knowledge discovery and management systems. ACM Trans. Intell. Syst. Technol. Hui Xiong, Shashi Shekhar, Alexander Tuzhilin
2013	A	`conf`	Not by search alone: how recommendations complement search results. RecSys Daria Dzyabura, Alexander Tuzhilin
2013	A	`conf`	Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems. RecSys Panagiotis Adamopoulos, Alexander Tuzhilin
2012	A	`conf`	4th workshop on context-aware recommender systems (CARS 2012). RecSys Gediminas Adomavicius, Linas Baltrunas, Ernesto William De Luca, Tim Hussein, Alexander Tuzhilin
2012	J	`jnl`	Customer relationship management and Web mining: the next frontier. Data Min. Knowl. Discov. Alexander Tuzhilin
2011	A	`conf`	3rd workshop on context-aware recommender systems (CARS 2011). RecSys Gediminas Adomavicius, Linas Baltrunas, Tim Hussein, Francesco Ricci, Alexander Tuzhilin
2011	A	`conf`	Collaborative filtering with collective training. RecSys Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu
2011	J	`jnl`	Context-Aware Recommender Systems. AI Mag. Gediminas Adomavicius, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin
2011	—	`ch.`	Context-Aware Recommender Systems. Recommender Systems Handbook Gediminas Adomavicius, Alexander Tuzhilin
2011	A*	`conf`	Cost-aware travel tour recommendation. KDD Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen
2011	J	`jnl`	Knowledge management revisited: Old Dogs, New tricks. ACM Trans. Manag. Inf. Syst. Alexander Tuzhilin
2011	—	`conf`	On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected. DiveRS@RecSys Panagiotis Adamopoulos, Alexander Tuzhilin
2011	J	`jnl`	REQUEST: A Query Language for Customizing Recommendations. Inf. Syst. Res. Gediminas Adomavicius, Alexander Tuzhilin, Rong Zheng
2011	J	`jnl`	Social and Economic Computing. IEEE Intell. Syst. Wenji Mao, Alexander Tuzhilin, Jonathan Gratch
2011	A	`conf`	The effect of context-aware recommendations on customer purchasing behavior and trust. RecSys Michele Gorgoglione, Umberto Panniello, Alexander Tuzhilin
2011	J	`jnl`	Using external aggregate ratings for improving individual recommendations. ACM Trans. Web Akhmed Umyarov, Alexander Tuzhilin
2010	A*	`conf`	An energy-efficient mobile recommender system. KDD Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao, Marco Gruteser, Michael J. Pazzani
2010	A	`conf`	Context-awareness in recommender systems: research workshop and movie recommendation challenge. RecSys Gediminas Adomavicius, Alexander Tuzhilin, Shlomo Berkovsky, Ernesto William De Luca, Alan Said
2009	J	`jnl`	Dynamic micro-targeting: fitness-based approach to predicting individual preferences. Knowl. Inf. Syst. Tianyi Jiang, Alexander Tuzhilin
2009	A	`conf`	Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems. RecSys Umberto Panniello, Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, Anto Pedone
2009	J	`jnl`	Improving Personalization Solutions through Optimal Segmentation of Customer Bases. IEEE Trans. Knowl. Data Eng. Tianyi Jiang, Alexander Tuzhilin
2009	A	`conf`	Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models. RecSys Akhmed Umyarov, Alexander Tuzhilin
2009	J	`jnl`	Preface to the special issue on data mining for personalization. User Model. User Adapt. Interact. Bamshad Mobasher, Alexander Tuzhilin
2009	A	`ed.`	Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009 RecSys Lawrence D. Bergman, Alexander Tuzhilin, Robin D. Burke, Alexander Felfernig, Lars Schmidt-Thieme
2008	A	`conf`	Context-aware recommender systems. RecSys Gediminas Adomavicius, Alexander Tuzhilin
2008	A*	`conf`	Improving Collaborative Filtering Recommendations Using External Data. ICDM Akhmed Umyarov, Alexander Tuzhilin
2008	J	`jnl`	Managing large collections of data mining models. Commun. ACM Bing Liu, Alexander Tuzhilin
2008	A*	`conf`	Social networks: looking ahead. KDD Ravi Kumar, Alexander Tuzhilin, Christos Faloutsos, David D. Jensen, Gueorgi Kossinets, Jure Leskovec, Andrew Tomkins
2008	—	`conf`	The Effect of Context on the Predictive Performance of Segmentation. Web Intelligence/IAT Workshops Maria Francesca Faraone, Michele Gorgoglione, Sabrina Lombardi, Cosimo Palmisano, Umberto Panniello, Alexander Tuzhilin
2008	A	`conf`	The long tail of recommender systems and how to leverage it. RecSys Yoon-Joo Park, Alexander Tuzhilin
2008	J	`jnl`	Using Context to Improve Predictive Modeling of Customers in Personalization Applications. IEEE Trans. Knowl. Data Eng. Cosimo Palmisano, Alexander Tuzhilin, Michele Gorgoglione
2007	A*	`conf`	Dynamic Micro Targeting: Fitness-Based Approach to Predicting Individual Preferences. ICDM Tianyi Jiang, Alexander Tuzhilin
2007	A	`conf`	Leveraging aggregate ratings for better recommendations. RecSys Akhmed Umyarov, Alexander Tuzhilin
2007	—	`conf`	User Profiling with Hierarchical Context: An e-Retailer Case Study. CONTEXT Cosimo Palmisano, Alexander Tuzhilin, Michele Gorgoglione
2007	J	`jnl`	Validation Sequence Optimization: A Theoretical Approach. INFORMS J. Comput. Gediminas Adomavicius, Alexander Tuzhilin
2006	A*	`conf`	Improving Personalization Solutions through Optimal Segmentation of Customer Bases. ICDM Tianyi Jiang, Alexander Tuzhilin
2006	A*	`conf`	Mining Actionable Patterns by Role Models. ICDE Ke Wang, Yuelong Jiang, Alexander Tuzhilin
2006	J	`jnl`	On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery. IEEE Trans. Knowl. Data Eng. Balaji Padmanabhan, Alexander Tuzhilin
2006	A*	`conf`	Personalization in Context: Does Context Matter When Building Personalized Customer Models? ICDM Michele Gorgoglione, Cosimo Palmisano, Alexander Tuzhilin
2006	J	`jnl`	Personalization technologies: A process-oriented perspective. Wirtschaftsinf. Gediminas Adomavicius, Alexander Tuzhilin
2006	J	`jnl`	Segmenting Customers from Population to Individuals: Does 1-to-1 Keep Your Customers Forever? IEEE Trans. Knowl. Data Eng. Tianyi Jiang, Alexander Tuzhilin
2005	J	`jnl`	Incorporating contextual information in recommender systems using a multidimensional approach. ACM Trans. Inf. Syst. Gediminas Adomavicius, Ramesh Sankaranarayanan, Shahana Sen, Alexander Tuzhilin
2005	A*	`conf`	Mining Patterns That Respond to Actions. ICDM Yuelong Jiang, Ke Wang, Alexander Tuzhilin, Ada Wai-Chee Fu
2005	J	`jnl`	Personalization technologies: a process-oriented perspective. Commun. ACM Gediminas Adomavicius, Alexander Tuzhilin
2005	J	`jnl`	Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Trans. Knowl. Data Eng. Gediminas Adomavicius, Alexander Tuzhilin
2004	A*	`conf`	Divide and Prosper: Comparing Models of Customer Behavior From Populations to Individuals. ICDM Tianyi Jiang, Alexander Tuzhilin
2004	A*	`conf`	On the discovery of significant statistical quantitative rules. KDD Hong Zhang, Balaji Padmanabhan, Alexander Tuzhilin
2003	J	`jnl`	From the Guest Co-Editors. INFORMS J. Comput. Alexander Tuzhilin, Louiqa Raschid
2003	J	`jnl`	On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities. Manag. Sci. Balaji Padmanabhan, Alexander Tuzhilin
2002	J	`jnl`	An Architecture of e-Butler: A Consumer-Centric Online Personalization System. Int. J. Comput. Intell. Appl. Gediminas Adomavicius, Alexander Tuzhilin
2002	A*	`conf`	Handling very large numbers of association rules in the analysis of microarray data. KDD Alexander Tuzhilin, Gediminas Adomavicius
2002	J	`jnl`	Knowledge refinement based on the discovery of unexpected patterns in data mining. Decis. Support Syst. Balaji Padmanabhan, Alexander Tuzhilin
2002	A*	`conf`	Querying multiple sets of discovered rules. KDD Alexander Tuzhilin, Bing Liu
2001	J	`jnl`	Expert-Driven Validation of Rule-Based User Models in Personalization Applications. Data Min. Knowl. Discov. Gediminas Adomavicius, Alexander Tuzhilin
2001	—	`conf`	Multidimensional Recommender Systems: A Data Warehousing Approach. WELCOM Gediminas Adomavicius, Alexander Tuzhilin
2001	J	`jnl`	Using Data Mining Methods to Build Customer Profiles. Computer Gediminas Adomavicius, Alexander Tuzhilin
2000	J	`jnl`	Report on the KDD2000 Panel Personalization and Data Mining: Exploring the Synergies. SIGKDD Explor. Alexander Tuzhilin
2000	A*	`conf`	Small is beautiful: discovering the minimal set of unexpected patterns. KDD Balaji Padmanabhan, Alexander Tuzhilin
1999	J	`jnl`	Unexpectedness as a measure of interestingness in knowledge discovery. Decis. Support Syst. Balaji Padmanabhan, Alexander Tuzhilin
1999	A*	`conf`	User Profiling in Personalization Applications Through Rule Discovery and Validation. KDD Gediminas Adomavicius, Alexander Tuzhilin
1998	A*	`conf`	A Belief-Driven Method for Discovering Unexpected Patterns. KDD Balaji Padmanabhan, Alexander Tuzhilin
1997	—	`conf`	A Pattern Discovery Algebra. DMKD Alexander Tuzhilin
1997	—	`conf`	Discovering Unexpected Patterns in Temporal Data Using Temporal Logic. Temporal Databases, Dagstuhl Gideon Berger, Alexander Tuzhilin
1997	A*	`conf`	Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach. KDD Gediminas Adomavicius, Alexander Tuzhilin
1997	J	`jnl`	Editor's introduction to the special issue on knowledge discovery and its applications to business decision-making. Decis. Support Syst. Alexander Tuzhilin
1997	J	`jnl`	Providing information system support for simulations using the Cassandra Ann. Oper. Res. P. Balasubramanian, Alexander Tuzhilin
1996	J	`jnl`	Modeling Data-Intensive Reactive Systems with Relational Transition Systems. Acta Informatica Alexander Tuzhilin, Zvi M. Kedem
1996	J	`jnl`	On Data Representation and Use in a Temporal Relational DBMS. Inf. Syst. Res. James Clifford, Albert Croker, Alexander Tuzhilin
1996	A*	`conf`	Pattern Discovery in Temporal Databases: A Temporal Logic Approach. KDD Balaji Padmanabhan, Alexander Tuzhilin
1996	J	`jnl`	Using query-driven simulations for querying outcomes of business processes. Decis. Support Syst. P. Balasubramanian, Alexander Tuzhilin
1996	J	`jnl`	What Makes Patterns Interesting in Knowledge Discovery Systems. IEEE Trans. Knowl. Data Eng. Abraham Silberschatz, Alexander Tuzhilin
1995	J	`jnl`	Extending Temporal Logic to Support High-Level Simulations. ACM Trans. Model. Comput. Simul. Alexander Tuzhilin
1995	J	`jnl`	On Periodicity in Temporal Databases. Inf. Syst. Alexander Tuzhilin, James Clifford
1995	A*	`conf`	On Subjective Measures of Interestingness in Knowledge Discovery. KDD Abraham Silberschatz, Alexander Tuzhilin
1995	—	`conf`	On Temporal Grouping Temporal Databases James Clifford, Albert Croker, Fabio Grandi, Alexander Tuzhilin
1995	—	`ed.`	Recent Advances in Temporal Databases, Proceedings of the International Workshop on Temporal Databases, Zürich, Switzerland, 17-18 September 1995 James Clifford, Alexander Tuzhilin
1995	J	`jnl`	Templar: A Knowledge-Based Language for Software Specifications Using Temporal Logic. ACM Trans. Inf. Syst. Alexander Tuzhilin
1994	J	`jnl`	On Completeness of Historical Relational Query Languages. ACM Trans. Database Syst. James Clifford, Albert Croker, Alexander Tuzhilin
1993	J	`jnl`	Abstract-Driven Pattern Discovery in Databases. IEEE Trans. Knowl. Data Eng. Vasant Dhar, Alexander Tuzhilin
1993	—	`ch.`	Applications of temporal Databases to Knowledge-based Simulations. Temporal Databases Alexander Tuzhilin
1993	—	`ch.`	On the Completeness of Query Languages for Grouped and Ungrouped Historical Data Models. Temporal Databases James Clifford, Albert Croker, Alexander Tuzhilin
1993	J	`jnl`	Querying Datalog Programs with Temporal Logic. Acta Informatica Alexander Tuzhilin
1990	A*	`conf`	A Temporal Relational Algebra as Basis for Temporal Relational Completeness. VLDB Alexander Tuzhilin, James Clifford
1989	A*	`conf`	Querying and Controlling the Future Behaviour of Complex Objects. ICDE Alexander Tuzhilin, Zvi M. Kedem
1989	A*	`conf`	Relational Database Behavior: Utilizing Relational Discrete Event Systems and Models. PODS Zvi M. Kedem, Alexander Tuzhilin
1989	—	`—`	Using relational discrete event systems and models for prediction of future behavior of databases. Alexander Tuzhilin
1985	A*	`conf`	A Semantic Approach to Correctness of Concurrent Transaction Executions. PODS Alexander Tuzhilin, Paul G. Spirakis