A. Tuzhilin

Most-cited papers

An energy-efficient mobile recommender system
Yong Ge, Hui Xiong, A. Tuzhilin, Keli Xiao +2 more
2010Knowledge Discovery and Data Mining371 citations
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DDTCDR: Deep Dual Transfer Cross Domain Recommendation
P. Li, A. Tuzhilin
2019Web Search and Data Mining342 citations
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Towards the Next Generation of Recommender Systems
A. Tuzhilin
2010International Conference on e-Business274 citations Open access
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Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews
Konstantin Bauman, B. Liu, A. Tuzhilin
2017Knowledge Discovery and Data Mining199 citations
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Introduction to special section on intelligent mobile knowledge discovery and management systems
Hui Xiong, S. Shekhar, A. Tuzhilin
2013ACM Transactions on Intelligent Systems and Technology182 citations
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Recommender systems - : beyond matrix completion
D. Jannach, P. Resnick, A. Tuzhilin, M. Zanker
2016Communications of the ACM168 citations Open access
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Comparing context-aware recommender systems in terms of accuracy and diversity
Umberto Panniello, A. Tuzhilin, M. Gorgoglione
2012User modeling and user-adapted interaction162 citations
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On Unexpectedness in Recommender Systems
P. Adamopoulos, A. Tuzhilin
2014ACM Transactions on Intelligent Systems and Technology155 citations
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Cost-aware travel tour recommendation
Yong Ge, Qi Liu, Hui Xiong, A. Tuzhilin +1 more
2011Knowledge Discovery and Data Mining139 citations
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E.T.-RNN: Applying Deep Learning to Credit Loan Applications
Dmitrii Babaev, M. Savchenko, A. Tuzhilin, Dmitriy Umerenkov
2019Knowledge Discovery and Data Mining107 citations Open access
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On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems
P. Adamopoulos, A. Tuzhilin
2014ACM Conference on Recommender Systems103 citations
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On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected
P. Adamopoulos, A. Tuzhilin
2011DiveRS@RecSys93 citations
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Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations
Pan Li, A. Tuzhilin
2021IEEE Transactions on Knowledge and Data Engineering87 citations Open access
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The effect of context-aware recommendations on customer purchasing behavior and trust
M. Gorgoglione, Umberto Panniello, A. Tuzhilin
2011ACM Conference on Recommender Systems77 citations
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Context-Aware Recommendations Based on Deep Learning Frameworks
Moshe Unger, A. Tuzhilin, Amit Livne
2020ACM Transactions on Management Information Systems75 citations
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Research Note - In CARSs We Trust: How Context-Aware Recommendations Affect Customers' Trust and Other Business Performance Measures of Recommender Systems
Umberto Panniello, M. Gorgoglione, A. Tuzhilin
2016Information systems research75 citations
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Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction
Pan Li, Zhichao Jiang, Mao-Fei Que, Yao Hu +1 more
2021Knowledge Discovery and Data Mining74 citations Open access
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Recommendation strategies in personalization applications
M. Gorgoglione, Umberto Panniello, A. Tuzhilin
2019Information Manager (The)70 citations
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PURS: Personalized Unexpected Recommender System for Improving User Satisfaction
Pan Li, Mao-Fei Que, Zhichao Jiang, Yao Hu +1 more
2020ACM Conference on Recommender Systems65 citations Open access
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LightAutoML: AutoML Solution for a Large Financial Services Ecosystem
Anton Vakhrushev, A. Ryzhkov, M. Savchenko, Dmitry Simakov +2 more
2021arXiv.org62 citations
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Context-Aware Recommender Systems: From Foundations to Recent Developments
G. Adomavicius, Konstantin Bauman, A. Tuzhilin, Moshe Unger
2022Recommender Systems Handbook58 citations
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REQUEST: A Query Language for Customizing Recommendations
G. Adomavicius, A. Tuzhilin, Rong Zheng
2011Information systems research57 citations
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Cost-Aware Collaborative Filtering for Travel Tour Recommendations
Yong Ge, Hui Xiong, A. Tuzhilin, Qi Liu
2014TOIS55 citations
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CoLES: Contrastive Learning for Event Sequences with Self-Supervision
Dmitrii Babaev, Nikita Ovsov, Ivan A Kireev, Maria Ivanova +3 more
2020SIGMOD Conference54 citations Open access
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Customer relationship management and Web mining: the next frontier
A. Tuzhilin
2012Data mining and knowledge discovery47 citations
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Context-awareness in recommender systems: research workshop and movie recommendation challenge
G. Adomavicius, A. Tuzhilin, S. Berkovsky, E. D. De Luca +1 more
2010ACM Conference on Recommender Systems45 citations
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Towards Controllable and Personalized Review Generation
P. Li, A. Tuzhilin
2019Conference on Empirical Methods in Natural Language Processing43 citations Open access
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Recommending Remedial Learning Materials to Students by Filling Their Knowledge Gaps
Konstantin Bauman, A. Tuzhilin
2018MIS Q.42 citations
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Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks
L. Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, I. Oseledets +1 more
2020ACM Conference on Recommender Systems39 citations Open access
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Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes
Konstantin Bauman, A. Tuzhilin
2021Information systems research38 citations Open access
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Discovering Contextual Information from User Reviews for Recommendation Purposes
Konstantin Bauman, A. Tuzhilin
2014CBRecSys@RecSys33 citations
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Route Recommendations for Intelligent Transportation Services
Yong Ge, Huayu Li, A. Tuzhilin
2021IEEE Transactions on Knowledge and Data Engineering30 citations Open access
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Using Social Sensors for Detecting Emergency Events
Konstantin Bauman, A. Tuzhilin, R. Zaczynski
2017ACM Transactions on Management Information Systems30 citations Open access
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Using external aggregate ratings for improving individual recommendations
Akhmed Umyarov, A. Tuzhilin
2011ACM Transactions on the Web28 citations
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Latent multi-criteria ratings for recommendations
Pan Li, A. Tuzhilin
2019ACM Conference on Recommender Systems27 citations Open access
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Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems
P. Adamopoulos, A. Tuzhilin
2013ACM Conference on Recommender Systems27 citations
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Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks
P. Blinov, Manvel Avetisian, V. Kokh, Dmitry Umerenkov +1 more
2020Conference on Artificial Intelligence in Medicine in Europe24 citations Open access
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Hierarchical Latent Context Representation for Context-Aware Recommendations
Moshe Unger, A. Tuzhilin
2022IEEE Transactions on Knowledge and Data Engineering23 citations
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Radiologist-Level Stroke Classification on Non-contrast CT Scans with Deep U-Net
Manvel Avetisian, V. Kokh, A. Tuzhilin, Dmitriy Umerenkov
2019International Conference on Medical Image Computing and Computer-Assisted Intervention21 citations Open access
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Adversarial Learning for Cross Domain Recommendations
Pan Li, B. Brost, A. Tuzhilin
2022ACM Transactions on Intelligent Systems and Technology19 citations
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Learning Latent Multi-Criteria Ratings From User Reviews for Recommendations
Pan Li, A. Tuzhilin
2020IEEE Transactions on Knowledge and Data Engineering19 citations
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Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
Akhmed Umyarov, A. Tuzhilin
2009ACM Conference on Recommender Systems18 citations
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Latent Unexpected Recommendations
Pan Li, A. Tuzhilin
2020ACM Transactions on Intelligent Systems and Technology17 citations Open access
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Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems
P. Adamopoulos, A. Tuzhilin
2014RecSys Posters16 citations
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Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments
P. Adamopoulos, A. Ghose, A. Tuzhilin
2021MIS Q.15 citations Open access
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Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture
Moshe Unger, M. Wedel, A. Tuzhilin
2023Data mining and knowledge discovery14 citations Open access
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Knowledge management revisited
A. Tuzhilin
2011ACM Transactions on Management Information Systems14 citations
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Measuring the Concentration Reinforcement Bias of Recommender Systems
P. Adamopoulos, A. Tuzhilin, Pete Mountanos
2015RecSys Posters13 citations
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The Business Value of Recommendations: A Privacy-Preserving Econometric Analysis
P. Adamopoulos, A. Tuzhilin
2015International Conference on Interaction Sciences13 citations
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Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations
P. Li, Mao-Fei Que, A. Tuzhilin
2024IEEE Transactions on Knowledge and Data Engineering12 citations
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