Gediminas Adomavicius

According to our database1, Gediminas Adomavicius authored at least 77 papers between 1997 and 2021.

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Bibliography

2021
Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings.
ACM Trans. Inf. Syst., 2021

2020
Multistakeholder recommendation: Survey and research directions.
User Model. User Adapt. Interact., 2020

Engagement by Design: An Empirical Study of the "Reactions" Feature on Facebook Business Pages.
ACM Trans. Comput. Hum. Interact., 2020

Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework.
Inf. Syst. Res., 2020

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem.
CoRR, 2020

Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness.
CoRR, 2020

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

2019
Designing Real-Time Feedback for Bidders in Homogeneous-Item Continuous Combinatorial Auctions.
MIS Q., 2019

Reeducing Recommender System Biases: An Investigation of Rating Display Designs.
MIS Q., 2019

Understanding User-Generated Content and Customer Engagement on Facebook Business Pages.
Inf. Syst. Res., 2019

Efficient Computational Strategies for Dynamic Inventory Liquidation.
Inf. Syst. Res., 2019

Beyond Personalization: Research Directions in Multistakeholder Recommendation.
CoRR, 2019

From preference into decision making: modeling user interactions in recommender systems.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Heterogeneous Electric Vehicle Charging Coordination: A Variable Charging Speed Approach.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018
Mind the Gap: Accounting for Measurement Error and Misclassification in Variables Generated via Data Mining.
Inf. Syst. Res., 2018

Effects of Online Recommendations on Consumers' Willingness to Pay.
Inf. Syst. Res., 2018

Explicit or implicit feedback? engagement or satisfaction?: a field experiment on machine-learning-based recommender systems.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Interpreting user inaction in recommender systems.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

2017
Methods for Real-Time Prediction of the Mode of Travel Using Smartphone-Based GPS and Accelerometer Data.
Sensors, 2017

Coalition-Based Pricing in Ascending Combinatorial Auctions.
Inf. Syst. Res., 2017

Price and Profit Awareness in Recommender Systems.
CoRR, 2017

VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Toward Understanding the Dynamics of Bidder Behavior in Continuous Combinatorial Auctions: Agent-Based Simulation Approach.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

Toward Better Interactions in Recommender Systems: Cycling and Serpentining Approaches for Top-N Item Lists.
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

2016
Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting.
J. Biomed. Informatics, 2016

Classification, Ranking, and Top-K Stability of Recommendation Algorithms.
INFORMS J. Comput., 2016

Recommendations with a Purpose.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences.
Proceedings of the Joint Workshop on Interfaces and Human Decision Making for 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

Multi-Criteria Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2015

Improving Stability of Recommender Systems: A Meta-Algorithmic Approach.
IEEE Trans. Knowl. Data Eng., 2015

Bundling Effects on Variety Seeking for Digital Information Goods.
J. Manag. Inf. Syst., 2015

Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data.
Data Min. Knowl. Discov., 2015

Coordination and Pricing in Multi-Object Auctions.
Proceedings of the International Conference on Information Systems, 2015

2014
Preface to the special issue on context-aware recommender systems.
User Model. User Adapt. Interact., 2014

A Machine Learning Approach to Improving Dynamic Decision Making.
Inf. Syst. Res., 2014

Optimization-Based Approaches for Maximizing Aggregate Recommendation Diversity.
INFORMS J. Comput., 2014

2013
Impact of Information Feedback in Continuous Combinatorial Auctions: An Experimental Study of Economic Performance.
MIS Q., 2013

Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects.
Inf. Syst. Res., 2013

Toward identification and adoption of best practices in algorithmic recommender systems research.
Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation, 2013

2012
Stability of Recommendation Algorithms.
ACM Trans. Inf. Syst., 2012

Impact of data characteristics on recommender systems performance.
ACM Trans. Manag. Inf. Syst., 2012

Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques.
IEEE Trans. Knowl. Data Eng., 2012

Effect of Information Feedback on Bidder Behavior in Continuous Combinatorial Auctions.
Manag. Sci., 2012

Effect of Information Feedback on the Outcomes and Dynamics of Multisourcing Multiattribute Procurement Auctions.
J. Manag. Inf. Syst., 2012

Modeling Supply-Side Dynamics of IT Components, Products, and Infrastructure: An Empirical Analysis Using Vector Autoregression.
Inf. Syst. Res., 2012

Iterative Smoothing Technique for Improving the Stability of Recommender Systems.
Proceedings of the Workshop on Recommendation Utility Evaluation: Beyond RMSE, 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

Multi-Criteria Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2011

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

Context-Aware Recommender Systems.
AI Mag., 2011

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

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

2009
Designing Intelligent Software Agents for Auctions with Limited Information Feedback.
Inf. Syst. Res., 2009

RecSys'09 workshop 3: workshop on context-aware recommender systems (CARS-2009).
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

2008
C-TREND: Temporal Cluster Graphs for Identifying and Visualizing Trends in Multiattribute Transactional Data.
IEEE Trans. Knowl. Data Eng., 2008

Making Sense of Technology Trends in the Information Technology Landscape: A Design Science Approach.
MIS Q., 2008

Understanding evolution in technology ecosystems.
Commun. ACM, 2008

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

Design and Evaluation of Feedback Schemes for Multiattribute Procurement Auctions.
Proceedings of the International Conference on Information Systems, 2008

2007
Technology roles and paths of influence in an ecosystem model of technology evolution.
Inf. Technol. Manag., 2007

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

New Recommendation Techniques for Multicriteria Rating Systems.
IEEE Intell. Syst., 2007

Design and Effects of Information Feedback in Continuous Combinatorial Auctions.
Proceedings of the International Conference on Information Systems, 2007

2006
Personalization technologies: A process-oriented perspective.
Wirtschaftsinf., 2006

Understanding Patterns of Technology Evolution: An Ecosystem Perspective.
Proceedings of the 39th Hawaii International International Conference on Systems Science (HICSS-39 2006), 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

Toward Comprehensive Real-Time Bidder Support in Iterative Combinatorial Auctions.
Inf. Syst. Res., 2005

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

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

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


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