Alexander Tuzhilin

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 69

Top Venues

CoRR

RecSys

IEEE Trans. Knowl. Data Eng.

ACM Trans. Manag. Inf. Syst.

Publications

Pan Li, Maofei Que, Alexander Tuzhilin
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Moshe Unger, Michel Wedel, Alexander Tuzhilin
Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture. Data Min. Knowl. Discov. 38 (3) (2024)
Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin
Does the Long Tail of Context Exist and Matter? The Case of Dialogue-based Recommender Systems. UMAP (2024)
Pan Li, Alexander Tuzhilin
Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems. CoRR (2024)
Pan Li, Brian Brost, Alexander Tuzhilin
Adversarial Learning for Cross Domain Recommendations. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Moshe Unger, Alexander Tuzhilin
Hierarchical Contextual Embeddings for Context-Aware Recommendations (Extended Abstract). ICDE (2023)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
Workshop on Context-Aware Recommender Systems 2023. RecSys (2023)
Moshe Unger, Pan Li, Sahana (Shahana) Sen, Alexander Tuzhilin
Don't Need All Eggs in One Basket: Reconstructing Composite Embeddings of Customers from Individual-Domain Embeddings. ACM Trans. Manag. Inf. Syst. 14 (2) (2023)
Pan Li, Alexander Tuzhilin
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Panagiotis Adamopoulos, Anindya Ghose, Alexander Tuzhilin
Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments. MIS Q. 46 (1) (2022)
Moshe Unger, Alexander Tuzhilin
Hierarchical Latent Context Representation for Context-Aware Recommendations. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Konstantin Bauman, Alexander Tuzhilin
Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes. Inf. Syst. Res. 33 (1) (2022)
Pan Li, Alexander Tuzhilin
Learning Latent Multi-Criteria Ratings From User Reviews for Recommendations. IEEE Trans. Knowl. Data Eng. 34 (8) (2022)
Dmitrii Babaev, Nikita Ovsov, Ivan Kireev, Mariya Ivanova, Gleb Gusev, Ivan Nazarov, Alexander Tuzhilin
CoLES: Contrastive Learning for Event Sequences with Self-Supervision. SIGMOD Conference (2022)
Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin
The Long Tail of Context: Does it Exist and Matter? CoRR (2022)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
CARS: Workshop on Context-Aware Recommender Systems 2022. RecSys (2022)
Yong Ge, Huayu Li, Alexander Tuzhilin
Route Recommendations for Intelligent Transportation Services. IEEE Trans. Knowl. Data Eng. 33 (3) (2021)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
Workshop on Context-Aware Recommender Systems (CARS) 2021. RecSys (2021)
Pan Li, Zhichao Jiang, Maofei Que, Yao Hu, Alexander Tuzhilin
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction. CoRR (2021)
Panagiotis Adamopoulos, Anindya Ghose, Alexander Tuzhilin
Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments. CoRR (2021)
Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin
Noise-resilient Automatic Interpretation of Holter ECG Recordings. BIOSIGNALS (2021)
Pan Li, Zhichao Jiang, Maofei Que, Yao Hu, Alexander Tuzhilin
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction. KDD (2021)
Pan Li, Alexander Tuzhilin
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations. CoRR (2021)
Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alexander Tuzhilin, Dmitry Umerenkov
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning. CoRR (2021)
Pan Li, Maofei Que, Zhichao Jiang, Yao Hu, Alexander Tuzhilin
PURS: Personalized Unexpected Recommender System for Improving User Satisfaction. CoRR (2021)
Anton Vakhrushev, Alexander Ryzhkov, Maxim Savchenko, Dmitry Simakov, Rinchin Damdinov, Alexander Tuzhilin
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem. CoRR (2021)
Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin
Noise-Resilient Automatic Interpretation of Holter ECG Recordings. CoRR (2020)
Dmitrii Babaev, Ivan Kireev, Nikita Ovsov, Mariya Ivanova, Gleb Gusev, Alexander Tuzhilin
Event sequence metric learning. CoRR (2020)
Toine Bogers, Marijn Koolen, Bamshad Mobasher, Casper Petersen, Alexander Tuzhilin
Report on the fourth workshop on recommendation in complex environments: (ComplexRec 2020). SIGIR Forum 54 (2) (2020)
Pan Li, Alexander Tuzhilin
Latent Unexpected Recommendations. ACM Trans. Intell. Syst. Technol. 11 (6) (2020)
Pan Li, Alexander Tuzhilin
DDTCDR: Deep Dual Transfer Cross Domain Recommendation. WSDM (2020)
Pan Li, Alexander Tuzhilin
Latent Unexpected Recommendations. CoRR (2020)
Pan Li, Maofei Que, Zhichao Jiang, Yao Hu, Alexander Tuzhilin
PURS: Personalized Unexpected Recommender System for Improving User Satisfaction. RecSys (2020)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
Workshop on Context-Aware Recommender Systems. RecSys (2020)
Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks. AIME (2020)
Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin
Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. RecSys (2020)
Moshe Unger, Alexander Tuzhilin, Amit Livne
Context-Aware Recommendations Based on Deep Learning Frameworks. ACM Trans. Manag. Inf. Syst. 11 (2) (2020)
Manvel Avetisian, Vladimir Kokh, Alexander Tuzhilin, Dmitry Umerenkov
Radiologist-level stroke classification on non-contrast CT scans with Deep U-Net. CoRR (2020)
Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin
Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. CoRR (2020)
Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks. CoRR (2020)
Toine Bogers, Marijn Koolen, Casper Petersen, Bamshad Mobasher, Alexander Tuzhilin
ComplexRec 2020: Workshop on Recommendation in Complex Environments. RecSys (2020)
Pan Li, Alexander Tuzhilin
Latent Unexpected and Useful Recommendation. CoRR (2019)
Pan Li, Alexander Tuzhilin
Latent Modeling of Unexpectedness for Recommendations. RecSys (Late-Breaking Results) (2019)
Michele Gorgoglione, Umberto Panniello, Alexander Tuzhilin
Recommendation strategies in personalization applications. Inf. Manag. 56 (6) (2019)
Pan Li, Alexander Tuzhilin
Towards Controllable and Personalized Review Generation. EMNLP/IJCNLP (1) (2019)
Pan Li, Alexander Tuzhilin
Towards Controllable and Personalized Review Generation. CoRR (2019)
Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin
Third workshop on recommendation in complex scenarios (ComplexRec 2019). RecSys (2019)
Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov
E.T.-RNN: Applying Deep Learning to Credit Loan Applications. CoRR (2019)
Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin
Overview of the Workshop on Recommendation in Complex Scenarios 2019 (ComplexRec 2019). ComplexRec@RecSys (2019)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
Workshop on context-aware recommender systems. RecSys (2019)
Pan Li, Alexander Tuzhilin
Latent Multi-Criteria Ratings for Recommendations. CoRR (2019)
Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov
E.T.-RNN: Applying Deep Learning to Credit Loan Applications. KDD (2019)
Pan Li, Alexander Tuzhilin
Latent multi-criteria ratings for recommendations. RecSys (2019)
Pan Li, Alexander Tuzhilin
DDTCDR: Deep Dual Transfer Cross Domain Recommendation. CoRR (2019)
Manvel Avetisian, Vladimir Kokh, Alexander Tuzhilin, Dmitry Umerenkov
Radiologist-Level Stroke Classification on Non-contrast CT Scans with Deep U-Net. MICCAI (3) (2019)
Yaroslav Zharov, Denis Korzhenkov, Pavel Shvechikov, Alexander Tuzhilin
YASENN: Explaining Neural Networks via Partitioning Activation Sequences. CoRR (2018)
Konstantin Bauman, Alexander Tuzhilin
Recommending Remedial Learning Materials to Students by Filling Their Knowledge Gaps. MIS Q. 42 (1) (2018)
Konstantin Bauman, Alexander Tuzhilin, Ryan Zaczynski
Using Social Sensors for Detecting Emergency Events: A Case of Power Outages in the Electrical Utility Industry. ACM Trans. Manag. Inf. Syst. 8 (2-3) (2017)
Konstantin Bauman, Bing Liu, Alexander Tuzhilin
Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews. KDD (2017)
Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin
Workshop on Recommendation in Complex Scenarios (ComplexRec 2017). ComplexRec@RecSys (2017)
Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin
Workshop on Recommendation in Complex Scenarios: (ComplexRec 2017). RecSys (2017)
Dietmar Jannach, Paul Resnick, Alexander Tuzhilin, Markus Zanker
Recommender systems - : beyond matrix completion. Commun. ACM 59 (11) (2016)
Konstantin Bauman, Bing Liu, Alexander Tuzhilin
Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews. CBRecSys@RecSys (2016)
Julia Kiseleva, Alexander Tuzhilin, Jaap Kamps, Melanie J. I. Müller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Djoerd Hiemstra
Beyond Movie Recommendations: Solving the Continuous Cold Start Problem in E-commerceRecommendations. CoRR (2016)
Umberto Panniello, Michele Gorgoglione, Alexander Tuzhilin
Research Note - In CARSs We Trust: How Context-Aware Recommendations Affect Customers' Trust and Other Business Performance Measures of Recommender Systems. Inf. Syst. Res. 27 (1) (2016)
Panagiotis Adamopoulos, Alexander Tuzhilin, Peter Mountanos
Measuring the Concentration Reinforcement Bias of Recommender Systems. RecSys Posters (2015)
Panagiotis Adamopoulos, Alexander Tuzhilin
The Business Value of Recommendations: A Privacy-Preserving Econometric Analysis. ICIS (2015)
Julia Kiseleva, Melanie J. I. Müller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Jaap Kamps, Alexander Tuzhilin, Djoerd Hiemstra
Where to Go on Your Next Trip?: Optimizing Travel Destinations Based on User Preferences. SIGIR (2015)
Julia Kiseleva, Melanie J. I. Müller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Jaap Kamps, Alexander Tuzhilin, Djoerd Hiemstra
Where to Go on Your Next Trip? Optimizing Travel Destinations Based on User Preferences. CoRR (2015)
Panagiotis Adamopoulos, Alexander Tuzhilin
On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected. ACM Trans. Intell. Syst. Technol. 5 (4) (2014)
Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu
Cost-Aware Collaborative Filtering for Travel Tour Recommendations. ACM Trans. Inf. Syst. 32 (1) (2014)
Panagiotis Adamopoulos, Alexander Tuzhilin
On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems. RecSys (2014)
Konstantin Bauman, Alexander Tuzhilin
Discovering Contextual Information from User Reviews for Recommendation Purposes. CBRecSys@RecSys (2014)
Konstantin Bauman, Alexander Tuzhilin
Recommending Learning Materials to Students by Identifying their Knowledge Gaps. RecSys Posters (2014)
Umberto Panniello, Alexander Tuzhilin, Michele Gorgoglione
Comparing context-aware recommender systems in terms of accuracy and diversity. User Model. User Adapt. Interact. 24 (1-2) (2014)
Panagiotis Adamopoulos, Alexander Tuzhilin
Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems. RecSys Posters (2014)
Hui Xiong, Shashi Shekhar, Alexander Tuzhilin
Introduction to special section on intelligent mobile knowledge discovery and management systems. ACM Trans. Intell. Syst. Technol. 5 (1) (2013)
Panagiotis Adamopoulos, Alexander Tuzhilin
Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems. RecSys (2013)
Daria Dzyabura, Alexander Tuzhilin
Not by search alone: how recommendations complement search results. RecSys (2013)
Alexander Tuzhilin
Customer relationship management and Web mining: the next frontier. Data Min. Knowl. Discov. 24 (3) (2012)
Gediminas Adomavicius, Linas Baltrunas, Ernesto William De Luca, Tim Hussein, Alexander Tuzhilin
4th workshop on context-aware recommender systems (CARS 2012). RecSys (2012)
Panagiotis Adamopoulos, Alexander Tuzhilin
On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected. DiveRS@RecSys (2011)
Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen
Cost-aware travel tour recommendation. KDD (2011)
Gediminas Adomavicius, Alexander Tuzhilin, Rong Zheng
REQUEST: A Query Language for Customizing Recommendations. Inf. Syst. Res. 22 (1) (2011)
Wenji Mao, Alexander Tuzhilin, Jonathan Gratch
Social and Economic Computing. IEEE Intell. Syst. 26 (6) (2011)
Gediminas Adomavicius, Linas Baltrunas, Tim Hussein, Francesco Ricci, Alexander Tuzhilin
3rd workshop on context-aware recommender systems (CARS 2011). RecSys (2011)
Gediminas Adomavicius, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin
Context-Aware Recommender Systems. AI Mag. 32 (3) (2011)
Michele Gorgoglione, Umberto Panniello, Alexander Tuzhilin
The effect of context-aware recommendations on customer purchasing behavior and trust. RecSys (2011)
Akhmed Umyarov, Alexander Tuzhilin
Using external aggregate ratings for improving individual recommendations. ACM Trans. Web 5 (1) (2011)
Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu
Collaborative filtering with collective training. RecSys (2011)
Alexander Tuzhilin
Knowledge management revisited: Old Dogs, New tricks. ACM Trans. Manag. Inf. Syst. 2 (3) (2011)
Gediminas Adomavicius, Alexander Tuzhilin, Shlomo Berkovsky, Ernesto William De Luca, Alan Said
Context-awareness in recommender systems: research workshop and movie recommendation challenge. RecSys (2010)
Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao, Marco Gruteser, Michael J. Pazzani
An energy-efficient mobile recommender system. KDD (2010)
Akhmed Umyarov, Alexander Tuzhilin
Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models. RecSys (2009)
Umberto Panniello, Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, Anto Pedone
Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems. RecSys (2009)
Tianyi Jiang, Alexander Tuzhilin
Dynamic micro-targeting: fitness-based approach to predicting individual preferences. Knowl. Inf. Syst. 19 (3) (2009)
Tianyi Jiang, Alexander Tuzhilin
Improving Personalization Solutions through Optimal Segmentation of Customer Bases. IEEE Trans. Knowl. Data Eng. 21 (3) (2009)
Bamshad Mobasher, Alexander Tuzhilin
Preface to the special issue on data mining for personalization. User Model. User Adapt. Interact. 19 (1-2) (2009)
Bing Liu, Alexander Tuzhilin
Managing large collections of data mining models. Commun. ACM 51 (2) (2008)
Maria Francesca Faraone, Michele Gorgoglione, Sabrina Lombardi, Cosimo Palmisano, Umberto Panniello, Alexander Tuzhilin
The Effect of Context on the Predictive Performance of Segmentation. Web Intelligence/IAT Workshops (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexander Tuzhilin