Alexander Tuzhilin | Academic Influence

Alexander Tuzhilin's AcademicInfluence.com Rankings

Alexander Tuzhilin

Computer Science

#2479

World Rank

#2589

Historical Rank

#1082

USA Rank

Database

#3046

World Rank

#3175

Historical Rank

#588

USA Rank

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Computer Science

Alexander Tuzhilin's Degrees

PhD Computer Science Columbia University
Masters Computer Science Columbia University
Bachelors Computer Science Columbia University

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Why Is Alexander Tuzhilin Influential?

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According to Wikipedia, Alexander Sergei Tuzhilin is a Professor of Data Science and Information Systems and the Leonard N. Stern Endowed Professor of Business at New York University's Stern School of Business. He also serves as the Dean of Computer Science at the University of the People on the pro bono basis.

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Alexander Tuzhilin's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions (2005) (10008)
Context-aware recommender systems (2008) (2149)
Incorporating contextual information in recommender systems using a multidimensional approach (2005) (1277)
What Makes Patterns Interesting in Knowledge Discovery Systems (1996) (805)
On Subjective Measures of Interestingness in Knowledge Discovery (1995) (462)
The long tail of recommender systems and how to leverage it (2008) (372)
An energy-efficient mobile recommender system (2010) (358)
A Belief-Driven Method for Discovering Unexpected Patterns (1998) (309)
Towards the Next Generation of Recommender Systems (2010) (283)
Using Data Mining Methods to Build Customer Profiles (2001) (269)
Unexpectedness as a Measure of Interestingness in Knowledge Discovery (1999) (229)
Using Context to Improve Predictive Modeling of Customers in Personalization Applications (2008) (222)
Personalization technologies (2005) (221)
Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems (2009) (201)
Personalization technologies: A process-oriented perspective (2006) (183)
Introduction to special section on intelligent mobile knowledge discovery and management systems (2013) (182)
Expert-Driven Validation of Rule-Based User Models in Personalization Applications (2004) (174)
Small is beautiful: discovering the minimal set of unexpected patterns (2000) (171)
Comparing context-aware recommender systems in terms of accuracy and diversity (2012) (145)
Cost-aware travel tour recommendation (2011) (142)
Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews (2017) (141)
On Unexpectedness in Recommender Systems (2013) (137)
Recommender systems — beyond matrix completion (2016) (133)
On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities (2003) (125)
Abstract-Driven Pattern Discovery in Databases (1992) (117)
Multidimensional Recommender Systems: A Data Warehousing Approach (2001) (116)
User profiling in personalization applications through rule discovery and validation (1999) (115)
On completeness of historical relational query languages (1991) (103)
Discovery of Actionable Patterns in Databases: the Action Hierarchy Approach (1997) (95)
DDTCDR: Deep Dual Transfer Cross Domain Recommendation (2019) (95)
A Temporal Relational Algebra as a Basis for Temporal Relational Completeness (1990) (94)
On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected (2011) (85)
Handling very large numbers of association rules in the analysis of microarray data (2002) (84)
On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems (2014) (81)
On the discovery of significant statistical quantitative rules (2004) (79)
The effect of context-aware recommendations on customer purchasing behavior and trust (2011) (74)
Pattern Discovery in Temporal Databases: A Temporal Logic Approach (1996) (68)
Segmenting Customers from Population to Individuals: Does 1-to-1 Keep Your Customers Forever? (2006) (65)
Proceedings of the third ACM conference on Recommender systems (2008) (62)
Recent Advances in Temporal Databases (1995) (60)
Mining Actionable Patterns by Role Models (2006) (60)
Knowledge refinement based on the discovery of unexpected patterns in data mining (2002) (59)
Research Note - In CARSs We Trust: How Context-Aware Recommendations Affect Customers' Trust and Other Business Performance Measures of Recommender Systems (2016) (56)
Improving Personalization Solutions through Optimal Segmentation of Customer Bases (2006) (55)
REQUEST: A Query Language for Customizing Recommendations (2011) (55)
On Temporal Grouping (1995) (53)
The identification and satisfaction of consumer analysis‐driven information needs of marketers on the WWW (1998) (52)
On characterization and discovery of minimal unexpected patterns in rule discovery (2006) (52)
E.T.-RNN: Applying Deep Learning to Credit Loan Applications (2019) (52)
Querying multiple sets of discovered rules (2002) (49)
Extending Recommender Systems : A Multidimensional Approach (2001) (49)
Cost-Aware Collaborative Filtering for Travel Tour Recommendations (2014) (48)
Customer relationship management and Web mining: the next frontier (2012) (48)
On Periodicity in Temporal Databases (1995) (47)
Context-awareness in recommender systems: research workshop and movie recommendation challenge (2010) (40)
Discovering Unexpected Patterns in Temporal Data Using Temporal Logic (1997) (38)
Context-Aware Recommendations Based on Deep Learning Frameworks (2020) (35)
Discovering Contextual Information from User Reviews for Recommendation Purposes (2014) (34)
Personalization in Context: Does Context Matter When Building Personalized Customer Models? (2006) (34)
Personalization and Recommender Systems (2008) (33)
Improving Collaborative Filtering Recommendations Using External Data (2008) (33)
Recommendation strategies in personalization applications (2019) (30)
On the Completeness of Query Languages for Grouped and Ungrouped Historical Data Models (1993) (30)
Recommendation Technologies: Survey of Current Methods and Possible Extensions (2003) (28)
Using external aggregate ratings for improving individual recommendations (2011) (27)
User-Assisted Knowledge Discovery: How Much Should the User Be Involved (1996) (25)
Recommending Remedial Learning Materials to Students by Filling Their Knowledge Gaps (2018) (24)
Mining patterns that respond to actions (2005) (23)
Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems (2013) (23)
Using Social Sensors for Detecting Emergency Events (2017) (22)
Dynamic micro-targeting: fitness-based approach to predicting individual preferences (2007) (21)
An Architecture of e-Butler: A Consumer-Centric Online Personalization System (2002) (21)
Where to Go on Your Next Trip?: Optimizing Travel Destinations Based on User Preferences (2015) (21)
Towards Controllable and Personalized Review Generation (2019) (20)
Managing large collections of data mining models (2008) (20)
Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models (2009) (18)
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction (2021) (18)
Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks (2020) (18)
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations (2021) (17)
Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition (2008) (16)
PURS: Personalized Unexpected Recommender System for Improving User Satisfaction (2020) (16)
Latent multi-criteria ratings for recommendations (2019) (15)
Leveraging aggregate ratings for better recommendations (2007) (15)
Radiologist-Level Stroke Classification on Non-contrast CT Scans with Deep U-Net (2019) (15)
Integrating User Behavior and Collaborative Methods in Recommender Systems (2004) (14)
SimTL: a simulation language based on temporal logic (1992) (14)
Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems (2014) (14)
In CARS We Trust: How Context-Aware Recommendations Affect Customers’ Trust and Other Business Performance Measures of Recommender Systems (2015) (13)
3rd workshop on context-aware recommender systems (CARS 2011) (2011) (12)
User Profiling with Hierarchical Context: An e-Retailer Case Study (2007) (12)
A Belief-Driven Discovery Framework Based on Data Monitoring and Triggering (1996) (12)
RQL: A Query Language For Recommender Systems (2005) (11)
The Business Value of Recommendations: A Privacy-Preserving Econometric Analysis (2015) (11)
Social and Economic Computing (2011) (11)
Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews (2016) (11)
Temporal Logic as a Simulation Language (1990) (10)
Collaborative filtering with collective training (2011) (10)
Proceedings of the International Workshop on Temporal Databases: Recent Advances in Temporal Databases (1995) (10)
Beyond Movie Recommendations: Solving the Continuous Cold Start Problem in E-commerceRecommendations (2016) (10)
Probabilistic Neighborhood Selection in Collaborative Filtering Systems (2013) (10)
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks (2020) (10)
Applications of temporal Databases to Knowledge-based Simulations (1993) (9)
From the Guest Co-Editors (2003) (9)
Relational database behavior: utilizing relational discrete event systems and models (2018) (9)
4th workshop on context-aware recommender systems (CARS 2012) (2012) (9)
Knowledge management revisited (2011) (9)
Route Recommendations for Intelligent Transportation Services (2021) (9)
A semantic approach to correctness of concurrent transaction executions (2015) (8)
Using relational discrete event systems and models for prediction of future behavior of databases (1989) (8)
Templar: a knowledge-based language for software specifications using temporal logic (1991) (8)
Preface to the special issue on data mining for personalization (2009) (8)
Measuring the Concentration Reinforcement Bias of Recommender Systems (2015) (8)
A Pattern Discovery Algebra (1997) (8)
Recommending Learning Materials to Students by Identifying their Knowledge Gaps (2014) (8)
Context-Aware Recommender Systems: From Foundations to Recent Developments (2022) (8)
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem (2021) (7)
Latent Modeling of Unexpectedness for Recommendations (2019) (7)
Using Query-Driven Simulations for Querying Outcomes of Business Processes (1996) (7)
The E-Butler Service, or has the Age of Electronic Personal Decision Making Assistants Arrived? (1998) (6)
YASENN: Explaining Neural Networks via Partitioning Activation Sequences (2018) (6)
Finding unexpected patterns in data (2002) (5)
Modeling Dynamics of Databases with Relational Discrete Event Systems and Models (1991) (5)
Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes (2021) (5)
Knowledge Discovery from Databases: the Nyu Project (1995) (5)
Workshop on context-aware recommender systems (2019) (5)
Report on the KDD2000 panel personalization and data mining: exploring the synergies (2000) (4)
Workshop on Recommendation in Complex Scenarios: (ComplexRec 2017) (2017) (4)
Knowledge evaluation: Other evaluations: usefulness, novelty, and integration of interesting news measures (2002) (4)
Learning Latent Multi-Criteria Ratings From User Reviews for Recommendations (2020) (4)
Hierarchical Latent Context Representation for Context-Aware Recommendations (2022) (4)
Virtual Power Outage Detection Using Social Sensors (2015) (4)
Validation Sequence Optimization: A Theoretical Approach (2007) (4)
Extending temporal logic to support high-level simulations (1995) (4)
Making Sense of Marketing Data: Some MIS Perspectives on the Analysis of Large Data Sets (1998) (4)
Analysis of Web Site Usage Data: How Much Can We Learn About the Consumer from Web Logfiles? (1996) (4)
Incorporating Context into Recommender Systems Using Multidimensional Rating Estimation Methods (2018) (4)
Event sequence metric learning (2020) (4)
Recent advances in temporal databases : proceedings of the International Workshop on Temporal Databases, Zurich, 17-18 September 1995 (1995) (3)
CoLES: Contrastive Learning for Event Sequences with Self-Supervision (2020) (3)
Latent Unexpected Recommendations (2020) (3)
Estimating customer reviews in recommender systems using sentiment analysis methods (2015) (3)
Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments (2016) (3)
Latent Unexpected and Useful Recommendation (2019) (3)
Using Social Sensors for Detecting Power Outages in the Electrical Utility Industry (2015) (2)
On Data Representation and Use in a Temporal Relational Dbms (1996) (2)
Social networks: looking ahead (2008) (2)
Discovery of unexpected patterns in data mining applications (1999) (2)
Workshop on Recommendation in Complex Scenarios (2017) (2)
Not by search alone: how recommendations complement search results (2013) (2)
Temporally Active Databases := Active Databases + Time (1991) (2)
Proceedings, Third IEEE International Conference on Data Mining, ICDM 2003, 19-22 November 2003, Melbourne, Florida (2003) (2)
Programming Reactive Systems in Temporal Logic (1990) (2)
Comparing context-aware recommender systems in terms of accuracy and diversity (2012) (2)
Cassandra+: A System for Doing Query-Driven Simulations (1993) (2)
Querying and controlling the future behavior of complex objects (1989) (2)
Deep Multi-Objective Multi-Stakeholder Music Recommendation (2021) (2)
Validating Requirements Specifications Stated in Knowledge Representation Language Templar (1991) (1)
Overview of the Workshop on Recommendation in Complex Scenarios 2019 (ComplexRec 2019) (2019) (1)
Report on the fourth workshop on recommendation in complex environments (2021) (1)
Divide and prosper: comparing models of customer behavior from populations to individuals (2004) (1)
Letter to the editor [6] (2006) (1)
Building and Querying Large Modelbases (2005) (1)
Partitioning Customers Using Overlapping Segmentation Methods (2008) (1)
Novel Perspectives in Collaborative Filtering Recommender Systems (2014) (1)
It Driven Automation: The New Wave (2004) (1)
Querying datalog programs with temporal logic (1993) (1)
Editor's introduction to the special issue on knowledge discovery and its applications to business decision-making (1997) (1)
Noise-Resilient Automatic Interpretation of Holter ECG Recordings (2020) (1)
Assisted Knowledge Discovery How Much Should the User Be Involved Position Paper (2005) (0)
Knowledge evaluation: Other evaluations: minimum description length (2002) (0)
Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009 (2009) (0)
Building and Querying Large Collections of Data Mining Models (2005) (0)
Chapter 7 Context-Aware Recommender Systems (0)
Predicting Consumer Choice from Raw Eye-Movement Data Using the RETINA Deep Learning Architecture (2023) (0)
Providing information system support for simulations using the Cassandra+ system (1997) (0)
ComplexRec 2020: Workshop on Recommendation in Complex Environments (2020) (0)
The Effect of Context on the Predictive Performance of Segmentation (2008) (0)
A Query-Driven Approach to Simulations (1993) (0)
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 (2017) (0)
On the Expressive Power of Infinite Temporal Databases (1992) (0)
Pattern Discovery in Temporal Databases : Some Recent Results (2003) (0)
Modeling data-intensive reactive systems with relational transition systems (1996) (0)
Don’t Need All Eggs in One Basket: Reconstructing Composite Embeddings of Customers from Individual-Domain Embeddings (2023) (0)
Customer relationship management and Web mining: the next frontier (2012) (0)
Knowledge of the RS about the Contextual Factors Partially Observable UnobservableFully Observable Everything Known about Context Partial and Static Context Knowledge Latent Knowledge of Context Context Relevance Is Dynamic Partial and Dynamic Context Knowledge Nothing Is Known about Context Static (2011) (0)
On Characterization and Discovery of Minimal Unexpected Patterns in Data Mining Applications (2003) (0)
Online Supplement to “ Validation Sequence Optimization : A Theoretical Approach ” (2005) (0)
Workshop on Context-Aware Recommender Systems (2020) (0)
Social and Economic Computing Introduction (2011) (0)
IMPROVING THE QUALITY OF THE DECISIONS MADE BY NEURAL NETWORKS DUE TO THE TRANSITION TO THE USE OF MORE COMPLEX NEURONS WITH MORE COMPLEX QUANTIZERS (2022) (0)
Preface to the joint proceedings of the ComplexRec and ImpactRS workshops at ACM RecSys 2020 (2020) (0)
ComplexRec 2017: Recommendation in Complex Scenarios (2017) (0)
The Long Tail of Context: Does it Exist and Matter? (2022) (0)
Making aggregate-level predictions in recommender systems using multi-level ratings (2009) (0)
Towards Analogy-based Recommendation Benchmarking of Perceived Analogy Semantics (2017) (0)
Validation sequence optimization (2007) (0)
Adversarial Learning for Cross Domain Recommendations (2022) (0)
Improving probabilistic models for recommender systems with aggregate data (2010) (0)
Personalization and data mining (panel session) (title only): exploring the synergies (2000) (0)
Third workshop on recommendation in complex scenarios (ComplexRec 2019) (2019) (0)

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