Alexander Tuzhilin

发表

On Temporal Grouping

Albert Croker, Fabio Grandi, James Clifford, 1995, Temporal Databases.

Letter to the editor [6]

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2006 .

Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks pdf

Manvel Avetisian, Alexander Tuzhilin, Pavel Blinov, 2020, AIME.

On Subjective Measures of Interestingness in Knowledge Discovery

Abraham Silberschatz, Alexander Tuzhilin, A. Silberschatz, 1995, KDD.

Using relational discrete event systems and models for prediction of future behavior of databases

Alexander Tuzhilin, Zvi M. Kedem, A. Tuzhilin, 1989 .

Segmenting Customers from Population to Individuals: Does 1-to-1 Keep Your Customers Forever?

Tianyi Jiang, Alexander Tuzhilin, A. Tuzhilin, 2006, IEEE Transactions on Knowledge and Data Engineering.

The Effect of Context on the Predictive Performance of Segmentation

Alexander Tuzhilin, Maria Francesca Faraone, Michele Gorgoglione, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Templar: a knowledge-based language for software specifications using temporal logic

Alexander Tuzhilin, A. Tuzhilin, 1991, TOIS.

A Belief-Driven Method for Discovering Unexpected Patterns

Balaji Padmanabhan, Alexander Tuzhilin, A. Tuzhilin, 1998, KDD.

Workshop on context-aware recommender systems

Gediminas Adomavicius, Bamshad Mobasher, Moshe Unger, 2019, RecSys.

The effect of context-aware recommendations on customer purchasing behavior and trust

Alexander Tuzhilin, Michele Gorgoglione, Umberto Panniello, 2011, RecSys '11.

Discovery of unexpected patterns in data mining applications

Balaji Padmanabhan, Alexander Tuzhilin, 1999 .

Recent Advances in Temporal Databases

James Clifford, Alexander Tuzhilin, J. Clifford, 1995, Workshops in Computing.

Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems

Panagiotis Adamopoulos, Alexander Tuzhilin, Panagiotis Adamopoulos, 2014, RecSys Posters.

Latent Modeling of Unexpectedness for Recommendations

Alexander Tuzhilin, Pan Li, Pan Li, 2019, RecSys.

Context-Aware Recommendations Based on Deep Learning Frameworks

Moshe Unger, Alexander Tuzhilin, Amit Livne, 2020, ACM Trans. Manag. Inf. Syst..

Divide and prosper: comparing models of customer behavior from populations to individuals

Tianyi Jiang, Alexander Tuzhilin, A. Tuzhilin, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems

Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, 2009, RecSys '09.

Small is beautiful: discovering the minimal set of unexpected patterns

Balaji Padmanabhan, Alexander Tuzhilin, A. Tuzhilin, 2000, KDD '00.

Recent advances in temporal databases : proceedings of the International Workshop on Temporal Databases, Zurich, 17-18 September 1995

James Clifford, Alexander Tuzhilin, 1995 .

Collaborative filtering with collective training

Hui Xiong, Qi Liu, Yong Ge, 2011, RecSys '11.

Third workshop on recommendation in complex scenarios (ComplexRec 2019)

Marijn Koolen, Bamshad Mobasher, Toine Bogers, 2019, RecSys '19.

Preface to the special issue on data mining for personalization

Bamshad Mobasher, Alexander Tuzhilin, 2008, User Modeling and User-Adapted Interaction.

Improving probabilistic models for recommender systems with aggregate data

Akhmed Umyarov, Alexander Tuzhilin, 2010 .

Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems

Panagiotis Adamopoulos, Alexander Tuzhilin, A. Tuzhilin, 2013, RecSys.

Cassandra+: A System for Doing Query-Driven Simulations

Alexander Tuzhilin, P. Balasubramanian, Alexander Tuzhilin, 1993 .

A Pattern Discovery Algebra

Alexander Tuzhilin, 1997, DMKD.

PURS: Personalized Unexpected Recommender System for Improving User Satisfaction

Alexander Tuzhilin, Zhichao Jiang, Pan Li, 2020, RecSys.

E.T.-RNN: Applying Deep Learning to Credit Loan Applications

Alexander Tuzhilin, Dmitrii Babaev, Maxim Savchenko, 2019, KDD.

On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems

Alexander Tuzhilin, Panagiotis Adamopoulos, A. Tuzhilin, 2014, RecSys '14.

Workshop on Context-Aware Recommender Systems

Francesco Ricci, Gediminas Adomavicius, Bamshad Mobasher, 2020, RecSys.

Recommending Remedial Learning Materials to Students by Filling Their Knowledge Gaps

Alexander Tuzhilin, Konstantin Bauman, A. Tuzhilin, 2018, MIS Q..

ComplexRec 2020: Workshop on Recommendation in Complex Environments

Marijn Koolen, Toine Bogers, Bamshad Mobasher, 2020, RecSys.

Where to Go on Your Next Trip?: Optimizing Travel Destinations Based on User Preferences

Djoerd Hiemstra, Jaap Kamps, Chad Davis, 2015, SIGIR.

Probabilistic Neighborhood Selection in Collaborative Filtering Systems

Panagiotis Adamopoulos, Alexander Tuzhilin, A. Tuzhilin, 2013 .

SimTL: a simulation language based on temporal logic

Alexander Tuzhilin, A. Tuzhilin, 1992 .

Querying multiple sets of discovered rules

Bing Liu, Alexander Tuzhilin, B. Liu, 2002, KDD.

Virtual Power Outage Detection Using Social Sensors

Alexander Tuzhilin, Konstantin Bauman, Ryan Zaczynski, 2015 .

On Data Representation and Use in a Temporal Relational Dbms

Albert Croker, James Clifford, Alexander Tuzhilin, 1996, Inf. Syst. Res..

What Makes Patterns Interesting in Knowledge Discovery Systems

Abraham Silberschatz, Alexander Tuzhilin, A. Silberschatz, 1996, IEEE Trans. Knowl. Data Eng..

Beyond Movie Recommendations: Solving the Continuous Cold Start Problem in E-commerceRecommendations pdf

Djoerd Hiemstra, Jaap Kamps, Chad Davis, 2016, ArXiv.

Validating Requirements Specifications Stated in Knowledge Representation Language Templar

Alexander Tuzhilin, 1991 .

Incorporating contextual information in recommender systems using a multidimensional approach

Gediminas Adomavicius, Alexander Tuzhilin, Ramesh Sankaranarayanan, 2005, TOIS.

Workshop on Recommendation in Complex Scenarios

Marijn Koolen, Toine Bogers, Bamshad Mobasher, 2017, ACM Conference on Recommender Systems.

The long tail of recommender systems and how to leverage it

Alexander Tuzhilin, Yoon-Joo Park, A. Tuzhilin, 2008, RecSys '08.

Providing information system support for simulations using the Cassandra+ system

Alexander Tuzhilin, P. Balasubramanian, P. Balasubramanian, 1997, Ann. Oper. Res..

Personalization and Recommender Systems

Gediminas Adomavicius, Zan Huang, Alexander Tuzhilin, 2008 .

Managing large collections of data mining models

Bing Liu, Alexander Tuzhilin, B. Liu, 2008, CACM.

Context-awareness in recommender systems: research workshop and movie recommendation challenge

Gediminas Adomavicius, Alan Said, Ernesto William De Luca, 2010, RecSys '10.

On the discovery of significant statistical quantitative rules

Balaji Padmanabhan, Hong Zhang, Alexander Tuzhilin, 2004, KDD.

DDTCDR: Deep Dual Transfer Cross Domain Recommendation

Pan Li, Alexander Tuzhilin, A. Tuzhilin, 2019, WSDM.

A semantic approach to correctness of concurrent transaction executions

Paul G. Spirakis, Alexander Tuzhilin, A. Tuzhilin, 2015, PODS '85.

On characterization and discovery of minimal unexpected patterns in rule discovery

Balaji Padmanabhan, Alexander Tuzhilin, 2006, IEEE Transactions on Knowledge and Data Engineering.

Querying and controlling the future behavior of complex objects

Alexander Tuzhilin, Zvi M. Kedem, Z. Kedem, 1989, [1989] Proceedings. Fifth International Conference on Data Engineering.

Context-aware recommender systems

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2008, ACM Conference on Recommender Systems.

Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews

Bing Liu, Alexander Tuzhilin, Konstantin Bauman, 2017, KDD.

Social networks: looking ahead

Christos Faloutsos, Jure Leskovec, Ravi Kumar, 2008, KDD.

Latent multi-criteria ratings for recommendations

Pan Li, Alexander Tuzhilin, Pan Li, 2019, RecSys.

Discovering Unexpected Patterns in Temporal Data Using Temporal Logic

Alexander Tuzhilin, Gideon Berger, A. Tuzhilin, 1997, Temporal Databases, Dagstuhl.

Mining patterns that respond to actions

Ke Wang, Ada Wai-Chee Fu, Alexander Tuzhilin, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Applications of temporal Databases to Knowledge-based Simulations

Alexander Tuzhilin, A. Tuzhilin, 1993, Temporal Databases.

Discovering Contextual Information from User Reviews for Recommendation Purposes

Alexander Tuzhilin, Konstantin Bauman, A. Tuzhilin, 2014, CBRecSys@RecSys.

Unexpectedness as a Measure of Interestingness in Knowledge Discovery

Balaji Padmanabhan, Alexander Tuzhilin, A. Tuzhilin, 1999, Decis. Support Syst..

Proceedings of the International Workshop on Temporal Databases: Recent Advances in Temporal Databases

James Clifford, Alexander Tuzhilin, 1995 .

Multidimensional Recommender Systems: A Data Warehousing Approach

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2001, WELCOM.

Personalization technologies: A process-oriented perspective

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2006, Wirtschaftsinf..

On the Completeness of Query Languages for Grouped and Ungrouped Historical Data Models

Albert Croker, James Clifford, Alexander Tuzhilin, 1993, Temporal Databases.

On Characterization and Discovery of Minimal Unexpected Patterns in Data Mining Applications

Balaji Padmanabhan, Alexander Tuzhilin, A. Tuzhilin, 2003 .

Temporally Active Databases := Active Databases + Time

Alexander Tuzhilin, 1991 .

Temporal Logic as a Simulation Language

Alexander Tuzhilin, A. Tuzhilin, 1990 .

Editor's introduction to the special issue on knowledge discovery and its applications to business decision-making

Alexander Tuzhilin, A. Tuzhilin, 1997, Decis. Support Syst..

User Profiling with Hierarchical Context: An e-Retailer Case Study

Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, 2007, CONTEXT.

Context-aware recommender systems

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2008, RecSys '08.

Personalization in Context: Does Context Matter When Building Personalized Customer Models?

Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, 2006, Sixth International Conference on Data Mining (ICDM'06).

Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition

Yehuda Koren, Alexander Tuzhilin, 2008, KDD 2008.

Knowledge evaluation: Other evaluations: usefulness, novelty, and integration of interesting news measures

Alexander Tuzhilin, A. Tuzhilin, 2002 .

On Unexpectedness in Recommender Systems

Panagiotis Adamopoulos, Alexander Tuzhilin, A. Tuzhilin, 2013, ACM Trans. Intell. Syst. Technol..

Discovery of Actionable Patterns in Databases: the Action Hierarchy Approach

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 1997, KDD.

Recommendation Technologies: Survey of Current Methods and Possible Extensions

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2003 .

The Business Value of Recommendations: A Privacy-Preserving Econometric Analysis

Panagiotis Adamopoulos, Alexander Tuzhilin, A. Tuzhilin, 2015, ICIS.

Pattern Discovery in Temporal Databases: A Temporal Logic Approach

Balaji Padmanabhan, Alexander Tuzhilin, 1996, KDD.

On the Expressive Power of Infinite Temporal Databases

Gabriel M. Kuper, Alexander Tuzhilin, A. Tuzhilin, 1992 .

Using Query-Driven Simulations for Querying Outcomes of Business Processes

Alexander Tuzhilin, P. Balasubramanian, A. Tuzhilin, 1996, Decis. Support Syst..

Latent Unexpected and Useful Recommendation pdf

Pan Li, Alexander Tuzhilin, Pan Li, 2019, ArXiv.

Not by search alone: how recommendations complement search results

Alexander Tuzhilin, Daria Dzyabura, 2013, RecSys.

Improving Personalization Solutions through Optimal Segmentation of Customer Bases

Tianyi Jiang, Alexander Tuzhilin, A. Tuzhilin, 2006, IEEE Transactions on Knowledge and Data Engineering.

Improving Collaborative Filtering Recommendations Using External Data

Akhmed Umyarov, Alexander Tuzhilin, A. Tuzhilin, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Using external aggregate ratings for improving individual recommendations

Akhmed Umyarov, Alexander Tuzhilin, 2011, ACM Trans. Web.

REQUEST: A Query Language for Customizing Recommendations

Rong Zheng, Gediminas Adomavicius, Alexander Tuzhilin, 2011, Inf. Syst. Res..

Finding unexpected patterns in data

Balaji Padmanabhan, Alexander Tuzhilin, A. Tuzhilin, 2002 .

Latent Unexpected Recommendations

Alexander Tuzhilin, Pan Li, A. Tuzhilin, 2020, ACM Trans. Intell. Syst. Technol..

Modeling data-intensive reactive systems with relational transition systems

Alexander Tuzhilin, Zvi M. Kedem, 2009, Acta Informatica.

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

Marijn Koolen, Alan Said, Bamshad Mobasher, 2017, ComplexRec@RecSys.

User-Assisted Knowledge Discovery: How Much Should the User Be Involved

Alexander Tuzhilin, Avi Silberschatz, A. Silberschatz, 1996 .

Dynamic Micro Targeting: Fitness-Based Approach to Predicting Individual Preferences

Tianyi Jiang, Alexander Tuzhilin, 2007, ICDM.

RQL: A Query Language For Recommender Systems

Rong Zheng, Gediminas Adomavicius, Alexander Tuzhilin, 2005 .

YASENN: Explaining Neural Networks via Partitioning Activation Sequences pdf

Yaroslav Zharov, Alexander Tuzhilin, Pavel Shvechikov, 2018, ArXiv.

Radiologist-Level Stroke Classification on Non-contrast CT Scans with Deep U-Net pdf

Manvel Avetisian, Alexander Tuzhilin, Vladimir Kokh, 2019, MICCAI.

Measuring the Concentration Reinforcement Bias of Recommender Systems

Panagiotis Adamopoulos, Alexander Tuzhilin, Peter Mountanos, 2015, RecSys Posters.

Extending temporal logic to support high-level simulations

Alexander Tuzhilin, A. Tuzhilin, 1995, TOMC.

Comparing context-aware recommender systems in terms of accuracy and diversity

Alexander Tuzhilin, Michele Gorgoglione, Umberto Panniello, 2012, User Modeling and User-Adapted Interaction.

Expert-Driven Validation of Rule-Based User Models in Personalization Applications

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2004, Data Mining and Knowledge Discovery.

Using Social Sensors for Detecting Emergency Events

Alexander Tuzhilin, Konstantin Bauman, Ryan Zaczynski, 2017, ACM Trans. Manag. Inf. Syst..

Handling very large numbers of association rules in the analysis of microarray data

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2002, KDD.

3rd workshop on context-aware recommender systems (CARS 2011)

Francesco Ricci, Gediminas Adomavicius, Tim Hussein, 2011, RecSys '11.

ComplexRec 2017: Recommendation in Complex Scenarios

Marijn Koolen, Alan Said, Bamshad Mobasher, 2017, ACM Conference on Recommender Systems.

Proceedings of the third ACM conference on Recommender systems

Lars Schmidt-Thieme, Robin Burke, Alexander Felfernig, 2008, RecSys 2008.

Dynamic micro-targeting: fitness-based approach to predicting individual preferences

Tianyi Jiang, Alexander Tuzhilin, A. Tuzhilin, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Introduction to special section on intelligent mobile knowledge discovery and management systems

Hui Xiong, Shashi Shekhar, Alexander Tuzhilin, 2013, ACM Trans. Intell. Syst. Technol..

User profiling in personalization applications through rule discovery and validation

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 1999, KDD '99.

Integrating User Behavior and Collaborative Methods in Recommender Systems

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2004 .

Customer relationship management and Web mining: the next frontier

Alexander Tuzhilin, 2012, Data Mining and Knowledge Discovery.

Making aggregate-level predictions in recommender systems using multi-level ratings

Akhmed Umyarov, Alexander Tuzhilin, 2009, WITS 2009.

Workshop on Recommendation in Complex Scenarios: (ComplexRec 2017)

Marijn Koolen, Alan Said, Bamshad Mobasher, 2017, ComplexRec@RecSys.

Knowledge Discovery from Databases: the Nyu Project

Vasant Dhar, James Clifford, Alexander Tuzhilin, 1995 .

On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities

Balaji Padmanabhan, Alexander Tuzhilin, A. Tuzhilin, 2003, Manag. Sci..

Building and Querying Large Modelbases

Jie Hu, Alexander Tuzhilin, Bing Liu, 2005 .

Hierarchical Latent Context Representation for Context-Aware Recommendations

Moshe Unger, Alexander Tuzhilin, 2020 .

Querying datalog programs with temporal logic

Alexander Tuzhilin, 2005, Acta Informatica.

Event sequence metric learning pdf

Gleb Gusev, Mariya Ivanova, Alexander Tuzhilin, 2020, ArXiv.

Overview of the Workshop on Recommendation in Complex Scenarios 2019 (ComplexRec 2019)

Marijn Koolen, Bamshad Mobasher, Toine Bogers, 2019, ComplexRec@RecSys.

Social and Economic Computing

Wenji Mao, Jonathan Gratch, Alexander Tuzhilin, 2011, IEEE Intelligent Systems.

Social and Economic Computing Introduction

Wenji Mao, Jonathan Gratch, Alexander Tuzhilin, 2011 .

Knowledge refinement based on the discovery of unexpected patterns in data mining

Balaji Padmanabhan, Alexander Tuzhilin, A. Tuzhilin, 2002, Decis. Support Syst..

Incorporating Context into Recommender Systems Using Multidimensional Rating Estimation Methods

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2018 .

Towards Controllable and Personalized Review Generation pdf

Pan Li, Alexander Tuzhilin, A. Tuzhilin, 2019, EMNLP.

Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2005, IEEE Transactions on Knowledge and Data Engineering.

Route Recommendations for Intelligent Transportation Services

Huayu Li, Yong Ge, Alexander Tuzhilin, 2021, IEEE Transactions on Knowledge and Data Engineering.

Validation Sequence Optimization: A Theoretical Approach

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2007, INFORMS J. Comput..

Context-Aware Recommender Systems

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2015, Recommender Systems Handbook.

Abstract-Driven Pattern Discovery in Databases

Vasant Dhar, Alexander Tuzhilin, V. Dhar, 1992, IEEE Trans. Knowl. Data Eng..

Report on the KDD2000 panel personalization and data mining: exploring the synergies

Alexander Tuzhilin, A. Tuzhilin, 2000, SKDD.

Personalization technologies

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2005, Commun. ACM.

An energy-efficient mobile recommender system

Hui Xiong, Marco Gruteser, Michael J. Pazzani, 2010, KDD.

4th workshop on context-aware recommender systems (CARS 2012)

Gediminas Adomavicius, Tim Hussein, Ernesto William De Luca, 2012, RecSys.

Context-Aware Recommender Systems

Francesco Ricci, Gediminas Adomavicius, Bamshad Mobasher, 2011, AI Mag..

Using Data Mining Methods to Build Customer Profiles

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2001, Computer.

Using Context to Improve Predictive Modeling of Customers in Personalization Applications

Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, 2008, IEEE Transactions on Knowledge and Data Engineering.

Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks

Alexander Tuzhilin, Valentin Khrulkov, Ivan V. Oseledets, 2020, RecSys.

Leveraging aggregate ratings for better recommendations

Akhmed Umyarov, Alexander Tuzhilin, A. Tuzhilin, 2007, RecSys '07.

Noise-Resilient Automatic Interpretation of Holter ECG Recordings pdf

Manvel Avetisian, Alexander Tuzhilin, Elena Sokolova, 2020, BIOSIGNALS.

On Periodicity in Temporal Databases

James Clifford, Alexander Tuzhilin, A. Tuzhilin, 1995, Inf. Syst..

Mining Actionable Patterns by Role Models

Ke Wang, Alexander Tuzhilin, Yuelong Jiang, 2006, 22nd International Conference on Data Engineering (ICDE'06).

From the Guest Co-Editors

Louiqa Raschid, Alexander Tuzhilin, L. Raschid, 2003, INFORMS J. Comput..

Cost-aware travel tour recommendation

Hui Xiong, Qi Liu, Jian Chen, 2011, KDD.

On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected

Panagiotis Adamopoulos, Alexander Tuzhilin, A. Tuzhilin, 2011, DiveRS@RecSys.

Cost-Aware Collaborative Filtering for Travel Tour Recommendations

Hui Xiong, Qi Liu, Yong Ge, 2014, TOIS.

Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews

Bing Liu, Alexander Tuzhilin, Konstantin Bauman, 2016, CBRecSys@RecSys.

Modeling Dynamics of Databases with Relational Discrete Event Systems and Models

Alexander Tuzhilin, Zvi M. Kedem, Z. Kedem, 1991 .

Towards the Next Generation of Recommender Systems

Alexander Tuzhilin, A. Tuzhilin, Alexander Tuzhilin, 2010, ICE-B 2010.

A Query-Driven Approach to Simulations

Alexander Tuzhilin, P. Balasubramanian, P. Balasubramanian, 1993 .

Validation sequence optimization

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2007 .

A Temporal Relational Algebra as a Basis for Temporal Relational Completeness

James Clifford, Alexander Tuzhilin, A. Tuzhilin, 1990 .

Improving Personalization Solutions through Optimal Segmentation of Customer Bases

Tianyi Jiang, Alexander Tuzhilin, 2009, IEEE Trans. Knowl. Data Eng..

Recommending Learning Materials to Students by Identifying their Knowledge Gaps

Alexander Tuzhilin, Konstantin Bauman, 2014, RecSys Posters.

Analysis of Web Site Usage Data: How Much Can We Learn About the Consumer from Web Logfiles?

Roger M. Stein, Alexander Tuzhilin, Norman H. White, 1996 .

Recommendation strategies in personalization applications

Alexander Tuzhilin, Michele Gorgoglione, Umberto Panniello, 2019, Inf. Manag..

An Architecture of e-Butler: A Consumer-Centric Online Personalization System

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2002, Int. J. Comput. Intell. Appl..

Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models

Akhmed Umyarov, Alexander Tuzhilin, A. Tuzhilin, 2009, RecSys '09.

Relational database behavior: utilizing relational discrete event systems and models

Alexander Tuzhilin, Zvi M. Kedem, Z. Kedem, 1989, PODS.

Partitioning Customers Using Overlapping Segmentation Methods

Rong Zheng, Alexander Tuzhilin, 2008 .

Research Note - In CARSs We Trust: How Context-Aware Recommendations Affect Customers' Trust and Other Business Performance Measures of Recommender Systems

Alexander Tuzhilin, Michele Gorgoglione, Umberto Panniello, 2016, Inf. Syst. Res..

On completeness of historical relational query languages

Albert Croker, James Clifford, Alexander Tuzhilin, 1991, TODS.

Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009

Lars Schmidt-Thieme, Robin Burke, Alexander Felfernig, 2009, RecSys.

Knowledge management revisited

Alexander Tuzhilin, A. Tuzhilin, 2011, ACM Trans. Manag. Inf. Syst..

A Belief-Driven Discovery Framework Based on Data Monitoring and Triggering

Alexander Tuzhilin, Avi Silberschatz, A. Silberschatz, 1996 .

Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction

Zhichao Jiang, Alexander Tuzhilin, Pan Li, 2021, KDD.

LightAutoML: AutoML Solution for a Large Financial Services Ecosystem pdf

Alexander Tuzhilin, Anton Vakhrushev, Alexander Ryzhkov, 2021, ArXiv.

CoLES: Contrastive learning for event sequences with self-supervision

Gleb Gusev, Alexander Tuzhilin, Dmitrii Babaev, 2021 .

Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes

Alexander Tuzhilin, Konstantin Bauman, A. Tuzhilin, 2021, Inf. Syst. Res..

Deep Multi-Objective Multi-Stakeholder Music Recommendation

Maxime C. Cohen, Moshe Unger, Alexander Tuzhilin, 2021 .

Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations pdf

Alexander Tuzhilin, Pan Li, A. Tuzhilin, 2021, IEEE Transactions on Knowledge and Data Engineering.

Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments

Panagiotis Adamopoulos, Anindya Ghose, Alexander Tuzhilin, 2016, MIS Q..

The E-Butler Service, or has the Age of Electronic Personal Decision Making Assistants Arrived?

Alexander Tuzhilin, A. Tuzhilin, 1998 .

The identification and satisfaction of consumer analysis‐driven information needs of marketers on the WWW

Balaji Padmanabhan, Roger M. Stein, Alexander Tuzhilin, 1998 .

Using Social Sensors for Detecting Power Outages in the Electrical Utility Industry

Alexander Tuzhilin, Konstantin Bauman, Ryan Zaczynski, 2015 .

Programming Reactive Systems in Temporal Logic

Alexander Tuzhilin, 1990 .

Making Sense of Marketing Data: Some MIS Perspectives on the Analysis of Large Data Sets

Alexander Tuzhilin, Shahana Sen, A. Tuzhilin, 1998 .