Alexander Tuzhilin

Orcid: 0000-0003-3354-8462

Affiliations:
  • New York University, USA


According to our database1, Alexander Tuzhilin authored at least 146 papers between 1985 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture.
Data Min. Knowl. Discov., May, 2024

Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations.
IEEE Trans. Knowl. Data Eng., February, 2024

When Variety Seeking Meets Unexpectedness: Incorporating Variety-Seeking Behaviors into Design of Unexpected Recommender Systems.
Inf. Syst. Res., 2024

Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems.
CoRR, 2024

Does the Long Tail of Context Exist and Matter? The Case of Dialogue-based Recommender Systems.
Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024

Workshop on Context-Aware Recommender Systems (CARS) 2024.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023
Don't Need All Eggs in One Basket: Reconstructing Composite Embeddings of Customers from Individual-Domain Embeddings.
ACM Trans. Manag. Inf. Syst., June, 2023

Adversarial Learning for Cross Domain Recommendations.
ACM Trans. Intell. Syst. Technol., February, 2023

Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations.
IEEE Trans. Knowl. Data Eng., 2023

Workshop on Context-Aware Recommender Systems 2023.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Hierarchical Contextual Embeddings for Context-Aware Recommendations (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Context-Aware Recommender Systems: From Foundations to Recent Developments.
Proceedings of the Recommender Systems Handbook, 2022

Hierarchical Latent Context Representation for Context-Aware Recommendations.
IEEE Trans. Knowl. Data Eng., 2022

Learning Latent Multi-Criteria Ratings From User Reviews for Recommendations.
IEEE Trans. Knowl. Data Eng., 2022

Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments.
MIS Q., 2022

Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes.
Inf. Syst. Res., 2022

The Long Tail of Context: Does it Exist and Matter?
CoRR, 2022

CoLES: Contrastive Learning for Event Sequences with Self-Supervision.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

CARS: Workshop on Context-Aware Recommender Systems 2022.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning.
ACM Trans. Manag. Inf. Syst., 2021

Route Recommendations for Intelligent Transportation Services.
IEEE Trans. Knowl. Data Eng., 2021

LightAutoML: AutoML Solution for a Large Financial Services Ecosystem.
CoRR, 2021

Workshop on Context-Aware Recommender Systems (CARS) 2021.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Noise-resilient Automatic Interpretation of Holter ECG Recordings.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020
Context-Aware Recommendations Based on Deep Learning Frameworks.
ACM Trans. Manag. Inf. Syst., 2020

Latent Unexpected Recommendations.
ACM Trans. Intell. Syst. Technol., 2020

Report on the fourth workshop on recommendation in complex environments: (ComplexRec 2020).
SIGIR Forum, 2020

Event sequence metric learning.
CoRR, 2020

DDTCDR: Deep Dual Transfer Cross Domain Recommendation.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

PURS: Personalized Unexpected Recommender System for Improving User Satisfaction.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

ComplexRec 2020: Workshop on Recommendation in Complex Environments.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Workshop on Context-Aware Recommender Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks.
Proceedings of the Artificial Intelligence in Medicine, 2020

2019
Recommendation strategies in personalization applications.
Inf. Manag., 2019

Latent Unexpected and Useful Recommendation.
CoRR, 2019

Latent multi-criteria ratings for recommendations.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Latent Modeling of Unexpectedness for Recommendations.
Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019

Overview of the Workshop on Recommendation in Complex Scenarios 2019 (ComplexRec 2019).
Proceedings of the Workshop on Recommendation in Complex Scenarios co-located with 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Third workshop on recommendation in complex scenarios (ComplexRec 2019).
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Radiologist-Level Stroke Classification on Non-contrast CT Scans with Deep U-Net.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

E.T.-RNN: Applying Deep Learning to Credit Loan Applications.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Towards Controllable and Personalized Review Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Recommending Remedial Learning Materials to Students by Filling Their Knowledge Gaps.
MIS Q., 2018

YASENN: Explaining Neural Networks via Partitioning Activation Sequences.
CoRR, 2018

2017
Using Social Sensors for Detecting Emergency Events: A Case of Power Outages in the Electrical Utility Industry.
ACM Trans. Manag. Inf. Syst., 2017

Workshop on Recommendation in Complex Scenarios: (ComplexRec 2017).
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Research Note - In CARSs We Trust: How Context-Aware Recommendations Affect Customers' Trust and Other Business Performance Measures of Recommender Systems.
Inf. Syst. Res., 2016

Beyond Movie Recommendations: Solving the Continuous Cold Start Problem in E-commerceRecommendations.
CoRR, 2016

Recommender systems - : beyond matrix completion.
Commun. ACM, 2016

Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews.
Proceedings of the 3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016

2015
Context-Aware Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2015

Where to Go on Your Next Trip?: Optimizing Travel Destinations Based on User Preferences.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Measuring the Concentration Reinforcement Bias of Recommender Systems.
Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

The Business Value of Recommendations: A Privacy-Preserving Econometric Analysis.
Proceedings of the International Conference on Information Systems, 2015

2014
Comparing context-aware recommender systems in terms of accuracy and diversity.
User Model. User Adapt. Interact., 2014

Cost-Aware Collaborative Filtering for Travel Tour Recommendations.
ACM Trans. Inf. Syst., 2014

On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected.
ACM Trans. Intell. Syst. Technol., 2014

Recommending Learning Materials to Students by Identifying their Knowledge Gaps.
Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

Discovering Contextual Information from User Reviews for Recommendation Purposes.
Proceedings of the 1st Workshop on New Trends in Content-based Recommender Systems co-located with the 8th ACM Conference on Recommender Systems, 2014

On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems.
Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

2013
Introduction to special section on intelligent mobile knowledge discovery and management systems.
ACM Trans. Intell. Syst. Technol., 2013

Not by search alone: how recommendations complement search results.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

2012
Customer relationship management and Web mining: the next frontier.
Data Min. Knowl. Discov., 2012

4th workshop on context-aware recommender systems (CARS 2012).
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

2011
Context-Aware Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2011

Using external aggregate ratings for improving individual recommendations.
ACM Trans. Web, 2011

Knowledge management revisited: Old Dogs, New tricks.
ACM Trans. Manag. Inf. Syst., 2011

REQUEST: A Query Language for Customizing Recommendations.
Inf. Syst. Res., 2011

Social and Economic Computing.
IEEE Intell. Syst., 2011

Context-Aware Recommender Systems.
AI Mag., 2011

The effect of context-aware recommendations on customer purchasing behavior and trust.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Collaborative filtering with collective training.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

3rd workshop on context-aware recommender systems (CARS 2011).
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected.
Proceedings of the Workshop on Novelty and Diversity in Recommender Systems, 2011

Cost-aware travel tour recommendation.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
Context-awareness in recommender systems: research workshop and movie recommendation challenge.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

An energy-efficient mobile recommender system.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
Preface to the special issue on data mining for personalization.
User Model. User Adapt. Interact., 2009

Improving Personalization Solutions through Optimal Segmentation of Customer Bases.
IEEE Trans. Knowl. Data Eng., 2009

Dynamic micro-targeting: fitness-based approach to predicting individual preferences.
Knowl. Inf. Syst., 2009

Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

2008
Using Context to Improve Predictive Modeling of Customers in Personalization Applications.
IEEE Trans. Knowl. Data Eng., 2008

Managing large collections of data mining models.
Commun. ACM, 2008

The long tail of recommender systems and how to leverage it.
Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Context-aware recommender systems.
Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Social networks: looking ahead.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Improving Collaborative Filtering Recommendations Using External Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

The Effect of Context on the Predictive Performance of Segmentation.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

2007
Validation Sequence Optimization: A Theoretical Approach.
INFORMS J. Comput., 2007

Leveraging aggregate ratings for better recommendations.
Proceedings of the 2007 ACM Conference on Recommender Systems, 2007

User Profiling with Hierarchical Context: An e-Retailer Case Study.
Proceedings of the Modeling and Using Context, 2007

2006
On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery.
IEEE Trans. Knowl. Data Eng., 2006

Segmenting Customers from Population to Individuals: Does 1-to-1 Keep Your Customers Forever?
IEEE Trans. Knowl. Data Eng., 2006

Personalization in Context: Does Context Matter When Building Personalized Customer Models?
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Mining Actionable Patterns by Role Models.
Proceedings of the 22nd International Conference on Data Engineering, 2006

2005
Incorporating contextual information in recommender systems using a multidimensional approach.
ACM Trans. Inf. Syst., 2005

Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions.
IEEE Trans. Knowl. Data Eng., 2005

Personalization technologies: a process-oriented perspective.
Commun. ACM, 2005

Mining Patterns That Respond to Actions.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
On the discovery of significant statistical quantitative rules.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Divide and Prosper: Comparing Models of Customer Behavior From Populations to Individuals.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2003
On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities.
Manag. Sci., 2003

From the Guest Co-Editors.
INFORMS J. Comput., 2003

2002
An Architecture of e-Butler: A Consumer-Centric Online Personalization System.
Int. J. Comput. Intell. Appl., 2002

Knowledge refinement based on the discovery of unexpected patterns in data mining.
Decis. Support Syst., 2002

Querying multiple sets of discovered rules.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Handling very large numbers of association rules in the analysis of microarray data.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

2001
Expert-Driven Validation of Rule-Based User Models in Personalization Applications.
Data Min. Knowl. Discov., 2001

Using Data Mining Methods to Build Customer Profiles.
Computer, 2001

Multidimensional Recommender Systems: A Data Warehousing Approach.
Proceedings of the Electronic Commerce, Second International Workshop, 2001

2000
Report on the KDD2000 Panel Personalization and Data Mining: Exploring the Synergies.
SIGKDD Explor., 2000

Small is beautiful: discovering the minimal set of unexpected patterns.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

1999
Unexpectedness as a measure of interestingness in knowledge discovery.
Decis. Support Syst., 1999

User Profiling in Personalization Applications Through Rule Discovery and Validation.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

1998
A Belief-Driven Method for Discovering Unexpected Patterns.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

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

Providing information system support for simulations using the Cassandra<sup>+</sup> system.
Ann. Oper. Res., 1997

Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

A Pattern Discovery Algebra.
Proceedings of the Workshop on Research Issues on Data Mining and Knowledge Discovery, 1997

Discovering Unexpected Patterns in Temporal Data Using Temporal Logic.
Proceedings of the Temporal Databases: Research and Practice. (the book grow out of a Dagstuhl Seminar, 1997

1996
What Makes Patterns Interesting in Knowledge Discovery Systems.
IEEE Trans. Knowl. Data Eng., 1996

On Data Representation and Use in a Temporal Relational DBMS.
Inf. Syst. Res., 1996

Using query-driven simulations for querying outcomes of business processes.
Decis. Support Syst., 1996

Modeling Data-Intensive Reactive Systems with Relational Transition Systems.
Acta Informatica, 1996

Pattern Discovery in Temporal Databases: A Temporal Logic Approach.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

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

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

On Periodicity in Temporal Databases.
Inf. Syst., 1995

On Temporal Grouping
Proceedings of the Recent Advances in Temporal Databases, 1995

On Subjective Measures of Interestingness in Knowledge Discovery.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

1994
On Completeness of Historical Relational Query Languages.
ACM Trans. Database Syst., 1994

1993
Abstract-Driven Pattern Discovery in Databases.
IEEE Trans. Knowl. Data Eng., 1993

Querying Datalog Programs with Temporal Logic.
Acta Informatica, 1993

Applications of temporal Databases to Knowledge-based Simulations.
Proceedings of the Temporal Databases: Theory, Design, and Implementation., 1993

On the Completeness of Query Languages for Grouped and Ungrouped Historical Data Models.
Proceedings of the Temporal Databases: Theory, Design, and Implementation., 1993

1990
A Temporal Relational Algebra as Basis for Temporal Relational Completeness.
Proceedings of the 16th International Conference on Very Large Data Bases, 1990

1989
Using relational discrete event systems and models for prediction of future behavior of databases.
PhD thesis, 1989

Relational Database Behavior: Utilizing Relational Discrete Event Systems and Models.
Proceedings of the Eighth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1989

Querying and Controlling the Future Behaviour of Complex Objects.
Proceedings of the Fifth International Conference on Data Engineering, 1989

1985
A Semantic Approach to Correctness of Concurrent Transaction Executions.
Proceedings of the Fourth ACM SIGACT-SIGMOD Symposium on Principles of Database Systems, 1985


  Loading...