Gediminas Adomavicius
Orcid: 0000-0001-5251-5098
According to our database1,
Gediminas Adomavicius
authored at least 89 papers
between 1997 and 2024.
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Bibliography
2024
Content and Style of Firm-Generated Posts on Social Media: A Study of User Engagement on Hedonic and Utilitarian Product Pages on Facebook.
J. Assoc. Inf. Syst., 2024
2023
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
2022
Bidder Support in Multi-item Multi-unit Continuous Combinatorial Auctions: A Unifying Theoretical Framework.
Inf. Syst. Res., December, 2022
Proceedings of the Recommender Systems Handbook, 2022
Integrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective.
ACM Trans. Manag. Inf. Syst., 2022
Effects of Personalized Recommendations Versus Aggregate Ratings on Post-Consumption Preference Responses.
MIS Q., 2022
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness.
INFORMS J. Comput., 2022
Improving Reliability Estimation for Individual Numeric Predictions: A Machine Learning Approach.
INFORMS J. Comput., 2022
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
2021
Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings.
ACM Trans. Inf. Syst., 2021
Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation.
CoRR, 2021
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
2020
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
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
MIS Q., 2019
Understanding User-Generated Content and Customer Engagement on Facebook Business Pages.
Inf. Syst. Res., 2019
Inf. Syst. Res., 2019
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
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
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
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
INFORMS J. Comput., 2016
Proceedings of the 10th ACM Conference on Recommender Systems, 2016
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
Proceedings of the Recommender Systems Handbook, 2015
Proceedings of the Recommender Systems Handbook, 2015
IEEE Trans. Knowl. Data Eng., 2015
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
Proceedings of the International Conference on Information Systems, 2015
2014
User Model. User Adapt. Interact., 2014
Inf. Syst. Res., 2014
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
ACM Trans. Manag. Inf. Syst., 2012
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
Proceedings of the Workshop on Recommendation Utility Evaluation: Beyond RMSE, 2012
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012
2011
Proceedings of the Recommender Systems Handbook, 2011
Proceedings of the Recommender Systems Handbook, 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
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
Proceedings of the 2008 ACM Conference on Recommender Systems, 2008
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
IEEE Intell. Syst., 2007
Proceedings of the International Conference on Information Systems, 2007
2006
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
Inf. Syst. Res., 2005
2002
Int. J. Comput. Intell. Appl., 2002
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002
2001
Data Min. Knowl. Discov., 2001
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
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997