Gediminas Adomavicius

104 papers A* 3A 19C 3Misc 1Journal 64Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Recommending Composite Items Using Multi-Level Preference Information: A Joint Interaction Modeling Approach. CoRR Xuan Bi, Yaqiong Wang, Gediminas Adomavicius, Shawn P. Curley
2025	J	`jnl`	De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems. CoRR Robin Burke, Gediminas Adomavicius, Toine Bogers, Tommaso Di Noia, Dominik Kowald, Julia Neidhardt, Özlem Özgöbek, Maria Soledad Pera, Nava Tintarev, Jürgen Ziegler
2025	J	`jnl`	De-centering the (Traditional) user: Multistakeholder evaluation of recommender systems. Int. J. Hum. Comput. Stud. Robin Burke, Gediminas Adomavicius, Toine Bogers, Tommaso Di Noia, Dominik Kowald, Julia Neidhardt, Özlem Özgöbek, Maria Soledad Pera, Nava Tintarev, Jürgen Ziegler
2025	J	`jnl`	Efficient and Flexible Long-Tail Recommendation Using Cosine Patterns. INFORMS J. Comput. Yaqiong Wang, Junjie Wu, Zhiang Wu, Gediminas Adomavicius
2025	J	`jnl`	Robustness is Important: Limitations of LLMs for Data Fitting. CoRR Hejia Liu, Mochen Yang, Gediminas Adomavicius
2025	A	`conf`	Workshop on Context-Aware Recommender Systems. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
2024	J	`jnl`	Consumer Acquisition for Recommender Systems: A Theoretical Framework and Empirical Evaluations. Inf. Syst. Res. Xuan Bi, Mochen Yang, Gediminas Adomavicius
2024	J	`jnl`	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. Scott Schanke, Gautam Ray, Gediminas Adomavicius, Mihir Wagle
2024	J	`jnl`	Longitudinal Impact of Preference Biases on Recommender Systems' Performance. Inf. Syst. Res. Meizi Zhou, Jingjing Zhang, Gediminas Adomavicius
2024	A	`conf`	Workshop on Context-Aware Recommender Systems (CARS) 2024. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
2023	A	`conf`	Workshop on Context-Aware Recommender Systems 2023. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
2022	J	`jnl`	Bidder Support in Multi-item Multi-unit Continuous Combinatorial Auctions: A Unifying Theoretical Framework. Inf. Syst. Res. Gediminas Adomavicius, Alok Gupta, Mochen Yang
2022	A	`conf`	CARS: Workshop on Context-Aware Recommender Systems 2022. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2022	—	`ch.`	Context-Aware Recommender Systems: From Foundations to Recent Developments. Recommender Systems Handbook Gediminas Adomavicius, Konstantin Bauman, Alexander Tuzhilin, Moshe Unger
2022	J	`jnl`	Effects of Personalized Recommendations Versus Aggregate Ratings on Post-Consumption Preference Responses. MIS Q. Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2022	J	`jnl`	Improving Reliability Estimation for Individual Numeric Predictions: A Machine Learning Approach. INFORMS J. Comput. Gediminas Adomavicius, Yaqiong Wang
2022	J	`jnl`	Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness. INFORMS J. Comput. Xuan Bi, Gediminas Adomavicius, William Li, Annie Qu
2022	J	`jnl`	Integrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective. ACM Trans. Manag. Inf. Syst. Gediminas Adomavicius, Mochen Yang
2022	J	`jnl`	Recommender Systems, Ground Truth, and Preference Pollution. AI Mag. Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2021	J	`jnl`	Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings. ACM Trans. Inf. Syst. Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2021	J	`jnl`	Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation. CoRR Gediminas Adomavicius, Dietmar Jannach, Stephan Leitner, Jingjing Zhang
2021	A	`conf`	Workshop on Context-Aware Recommender Systems (CARS) 2021. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2020	J	`jnl`	Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem. CoRR Mochen Yang, Edward McFowland III, Gordon Burtch, Gediminas Adomavicius
2020	J	`jnl`	Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework. Inf. Syst. Res. Jingjing Zhang, Gediminas Adomavicius, Alok Gupta, Wolfgang Ketter
2020	J	`jnl`	Engagement by Design: An Empirical Study of the "Reactions" Feature on Facebook Business Pages. ACM Trans. Comput. Hum. Interact. Mochen Yang, Yuqing Ren, Gediminas Adomavicius
2020	J	`jnl`	Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness. CoRR Xuan Bi, Gediminas Adomavicius, William Li, Annie Qu
2020	J	`jnl`	Multistakeholder recommendation: Survey and research directions. User Model. User Adapt. Interact. Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Augusto Pizzato
2020	A	`conf`	Workshop on Context-Aware Recommender Systems. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2019	J	`jnl`	Beyond Personalization: Research Directions in Multistakeholder Recommendation. CoRR Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Augusto Pizzato
2019	J	`jnl`	Designing Real-Time Feedback for Bidders in Homogeneous-Item Continuous Combinatorial Auctions. MIS Q. Gediminas Adomavicius, Alok Gupta, Mochen Yang
2019	J	`jnl`	Efficient Computational Strategies for Dynamic Inventory Liquidation. Inf. Syst. Res. Mochen Yang, Gediminas Adomavicius, Alok Gupta
2019	A	`conf`	From preference into decision making: modeling user interactions in recommender systems. RecSys Qian Zhao, Martijn C. Willemsen, Gediminas Adomavicius, F. Maxwell Harper, Joseph A. Konstan
2019	—	`conf`	Heterogeneous Electric Vehicle Charging Coordination: A Variable Charging Speed Approach. HICSS Konstantina Valogianni, Wolfgang Ketter, John Collins, Gediminas Adomavicius
2019	J	`jnl`	Reeducing Recommender System Biases: An Investigation of Rating Display Designs. MIS Q. Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2019	J	`jnl`	Understanding User-Generated Content and Customer Engagement on Facebook Business Pages. Inf. Syst. Res. Mochen Yang, Yuqing Ren, Gediminas Adomavicius
2019	A	`conf`	Workshop on context-aware recommender systems. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2018	J	`jnl`	Effects of Online Recommendations on Consumers' Willingness to Pay. Inf. Syst. Res. Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2018	Misc	`conf`	Explicit or implicit feedback? engagement or satisfaction?: a field experiment on machine-learning-based recommender systems. SAC Qian Zhao, F. Maxwell Harper, Gediminas Adomavicius, Joseph A. Konstan
2018	A	`conf`	Interpreting user inaction in recommender systems. RecSys Qian Zhao, Martijn C. Willemsen, Gediminas Adomavicius, F. Maxwell Harper, Joseph A. Konstan
2018	J	`jnl`	Mind the Gap: Accounting for Measurement Error and Misclassification in Variables Generated via Data Mining. Inf. Syst. Res. Mochen Yang, Gediminas Adomavicius, Gordon Burtch, Yuqing Ren
2017	J	`jnl`	Coalition-Based Pricing in Ascending Combinatorial Auctions. Inf. Syst. Res. Martin Bichler, Zhen Hao, Gediminas Adomavicius
2017	J	`jnl`	Methods for Real-Time Prediction of the Mode of Travel Using Smartphone-Based GPS and Accelerometer Data. Sensors Bryan D. Martin, Vittorio Addona, Julian Wolfson, Gediminas Adomavicius, Yingling Fan
2017	J	`jnl`	Price and Profit Awareness in Recommender Systems. CoRR Dietmar Jannach, Gediminas Adomavicius
2017	A	`conf`	Toward Better Interactions in Recommender Systems: Cycling and Serpentining Approaches for Top-N Item Lists. CSCW Qian Zhao, Gediminas Adomavicius, F. Maxwell Harper, Martijn C. Willemsen, Joseph A. Konstan
2017	—	`conf`	Toward Understanding the Dynamics of Bidder Behavior in Continuous Combinatorial Auctions: Agent-Based Simulation Approach. HICSS Ali Mahdavi Adeli, Gediminas Adomavicius, Alok Gupta
2017	A	`conf`	VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation. RecSys Robin Burke, Gediminas Adomavicius, Ido Guy, Jan Krasnodebski, Luiz Augusto Pizzato, Yi Zhang, Himan Abdollahpouri
2016	J	`jnl`	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 David M. Vock, Julian Wolfson, Sunayan Bandyopadhyay, Gediminas Adomavicius, Paul E. Johnson, Gabriela Vazquez-Benitez, Patrick J. O'Connor
2016	J	`jnl`	Classification, Ranking, and Top-K Stability of Recommendation Algorithms. INFORMS J. Comput. Gediminas Adomavicius, Jingjing Zhang
2016	A	`conf`	Recommendations with a Purpose. RecSys Dietmar Jannach, Gediminas Adomavicius
2016	—	`conf`	Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences. IntRS@RecSys Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2015	J	`jnl`	Bundling Effects on Variety Seeking for Digital Information Goods. J. Manag. Inf. Syst. Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley
2015	—	`ch.`	Context-Aware Recommender Systems. Recommender Systems Handbook Gediminas Adomavicius, Alexander Tuzhilin
2015	C	`conf`	Coordination and Pricing in Multi-Object Auctions. ICIS Martin Bichler, Zhen Hao, Gediminas Adomavicius
2015	J	`jnl`	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. Sunayan Bandyopadhyay, Julian Wolfson, David M. Vock, Gabriela Vazquez-Benitez, Gediminas Adomavicius, Mohamed Elidrisi, Paul E. Johnson, Patrick J. O'Connor
2015	J	`jnl`	Improving Stability of Recommender Systems: A Meta-Algorithmic Approach. IEEE Trans. Knowl. Data Eng. Gediminas Adomavicius, Jingjing Zhang
2015	—	`ch.`	Multi-Criteria Recommender Systems. Recommender Systems Handbook Gediminas Adomavicius, YoungOk Kwon
2014	J	`jnl`	A Machine Learning Approach to Improving Dynamic Decision Making. Inf. Syst. Res. Georg Meyer, Gediminas Adomavicius, Paul E. Johnson, Mohamed Elidrisi, William A. Rush, JoAnn M. Sperl-Hillen, Patrick J. O'Connor
2014	J	`jnl`	Optimization-Based Approaches for Maximizing Aggregate Recommendation Diversity. INFORMS J. Comput. Gediminas Adomavicius, YoungOk Kwon
2014	J	`jnl`	Preface to the special issue on context-aware recommender systems. User Model. User Adapt. Interact. Gediminas Adomavicius, Dietmar Jannach
2013	J	`jnl`	Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects. Inf. Syst. Res. Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2013	J	`jnl`	Impact of Information Feedback in Continuous Combinatorial Auctions: An Experimental Study of Economic Performance. MIS Q. Gediminas Adomavicius, Shawn P. Curley, Alok Gupta, Pallab Sanyal
2013	—	`conf`	Toward identification and adoption of best practices in algorithmic recommender systems research. RepSys@RecSys Joseph A. Konstan, Gediminas Adomavicius
2012	A	`conf`	4th workshop on context-aware recommender systems (CARS 2012). RecSys Gediminas Adomavicius, Linas Baltrunas, Ernesto William De Luca, Tim Hussein, Alexander Tuzhilin
2012	J	`jnl`	Effect of Information Feedback on Bidder Behavior in Continuous Combinatorial Auctions. Manag. Sci. Gediminas Adomavicius, Shawn P. Curley, Alok Gupta, Pallab Sanyal
2012	J	`jnl`	Effect of Information Feedback on the Outcomes and Dynamics of Multisourcing Multiattribute Procurement Auctions. J. Manag. Inf. Syst. Gediminas Adomavicius, Alok Gupta, Pallab Sanyal
2012	—	`conf`	Effects of Online Recommendations on Consumers' Willingness to Pay. Decisions@RecSys Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2012	J	`jnl`	Impact of data characteristics on recommender systems performance. ACM Trans. Manag. Inf. Syst. Gediminas Adomavicius, Jingjing Zhang
2012	J	`jnl`	Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques. IEEE Trans. Knowl. Data Eng. Gediminas Adomavicius, YoungOk Kwon
2012	—	`conf`	Iterative Smoothing Technique for Improving the Stability of Recommender Systems. RUE@RecSys Gediminas Adomavicius, Jingjing Zhang
2012	J	`jnl`	Modeling Supply-Side Dynamics of IT Components, Products, and Infrastructure: An Empirical Analysis Using Vector Autoregression. Inf. Syst. Res. Gediminas Adomavicius, Jesse C. Bockstedt, Alok Gupta
2012	J	`jnl`	Stability of Recommendation Algorithms. ACM Trans. Inf. Syst. Gediminas Adomavicius, Jingjing Zhang
2011	A	`conf`	3rd workshop on context-aware recommender systems (CARS 2011). RecSys Gediminas Adomavicius, Linas Baltrunas, Tim Hussein, Francesco Ricci, Alexander Tuzhilin
2011	J	`jnl`	Context-Aware Recommender Systems. AI Mag. Gediminas Adomavicius, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin
2011	—	`ch.`	Context-Aware Recommender Systems. Recommender Systems Handbook Gediminas Adomavicius, Alexander Tuzhilin
2011	—	`ch.`	Multi-Criteria Recommender Systems. Recommender Systems Handbook Gediminas Adomavicius, Nikos Manouselis, YoungOk Kwon
2011	A	`ed.`	Proceedings of the 2011 ACM Conference on Recommender Systems, RecSys 2011, Chicago, IL, USA, October 23-27, 2011 RecSys Bamshad Mobasher, Robin D. Burke, Dietmar Jannach, Gediminas Adomavicius
2011	J	`jnl`	REQUEST: A Query Language for Customizing Recommendations. Inf. Syst. Res. Gediminas Adomavicius, Alexander Tuzhilin, Rong Zheng
2010	A	`conf`	Context-awareness in recommender systems: research workshop and movie recommendation challenge. RecSys Gediminas Adomavicius, Alexander Tuzhilin, Shlomo Berkovsky, Ernesto William De Luca, Alan Said
2010	A	`conf`	On the stability of recommendation algorithms. RecSys Gediminas Adomavicius, Jingjing Zhang
2009	J	`jnl`	Designing Intelligent Software Agents for Auctions with Limited Information Feedback. Inf. Syst. Res. Gediminas Adomavicius, Alok Gupta, Dmitry Zhdanov
2009	A	`conf`	RecSys'09 workshop 3: workshop on context-aware recommender systems (CARS-2009). RecSys Gediminas Adomavicius, Francesco Ricci
2008	J	`jnl`	C-TREND: Temporal Cluster Graphs for Identifying and Visualizing Trends in Multiattribute Transactional Data. IEEE Trans. Knowl. Data Eng. Gediminas Adomavicius, Jesse C. Bockstedt
2008	A	`conf`	Context-aware recommender systems. RecSys Gediminas Adomavicius, Alexander Tuzhilin
2008	C	`conf`	Design and Evaluation of Feedback Schemes for Multiattribute Procurement Auctions. ICIS Gediminas Adomavicius, Alok Gupta, Pallab Sanyal
2008	J	`jnl`	Making Sense of Technology Trends in the Information Technology Landscape: A Design Science Approach. MIS Q. Gediminas Adomavicius, Jesse C. Bockstedt, Alok Gupta, Robert J. Kauffman
2008	J	`jnl`	Understanding evolution in technology ecosystems. Commun. ACM Gediminas Adomavicius, Jesse C. Bockstedt, Alok Gupta, Robert J. Kauffman
2007	C	`conf`	Design and Effects of Information Feedback in Continuous Combinatorial Auctions. ICIS Gediminas Adomavicius, Pallab Sanyal, Alok Gupta, Shawn P. Curley
2007	J	`jnl`	New Recommendation Techniques for Multicriteria Rating Systems. IEEE Intell. Syst. Gediminas Adomavicius, YoungOk Kwon
2007	J	`jnl`	Technology roles and paths of influence in an ecosystem model of technology evolution. Inf. Technol. Manag. Gediminas Adomavicius, Jesse C. Bockstedt, Alok Gupta, Robert J. Kauffman
2007	J	`jnl`	Validation Sequence Optimization: A Theoretical Approach. INFORMS J. Comput. Gediminas Adomavicius, Alexander Tuzhilin
2006	J	`jnl`	Personalization technologies: A process-oriented perspective. Wirtschaftsinf. Gediminas Adomavicius, Alexander Tuzhilin
2006	—	`conf`	Understanding Patterns of Technology Evolution: An Ecosystem Perspective. HICSS Gediminas Adomavicius, Jesse C. Bockstedt, Alok Gupta, Robert J. Kauffman
2005	J	`jnl`	Incorporating contextual information in recommender systems using a multidimensional approach. ACM Trans. Inf. Syst. Gediminas Adomavicius, Ramesh Sankaranarayanan, Shahana Sen, Alexander Tuzhilin
2005	J	`jnl`	Personalization technologies: a process-oriented perspective. Commun. ACM Gediminas Adomavicius, Alexander Tuzhilin
2005	J	`jnl`	Toward Comprehensive Real-Time Bidder Support in Iterative Combinatorial Auctions. Inf. Syst. Res. Gediminas Adomavicius, Alok Gupta
2005	J	`jnl`	Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Trans. Knowl. Data Eng. Gediminas Adomavicius, Alexander Tuzhilin
2002	J	`jnl`	An Architecture of e-Butler: A Consumer-Centric Online Personalization System. Int. J. Comput. Intell. Appl. Gediminas Adomavicius, Alexander Tuzhilin
2002	—	`—`	Expert-Driven Validation of Set-Based Data Mining Results. Gediminas Adomavicius
2002	A*	`conf`	Handling very large numbers of association rules in the analysis of microarray data. KDD Alexander Tuzhilin, Gediminas Adomavicius
2001	J	`jnl`	Expert-Driven Validation of Rule-Based User Models in Personalization Applications. Data Min. Knowl. Discov. Gediminas Adomavicius, Alexander Tuzhilin
2001	—	`conf`	Multidimensional Recommender Systems: A Data Warehousing Approach. WELCOM Gediminas Adomavicius, Alexander Tuzhilin
2001	J	`jnl`	Using Data Mining Methods to Build Customer Profiles. Computer Gediminas Adomavicius, Alexander Tuzhilin
1999	A*	`conf`	User Profiling in Personalization Applications Through Rule Discovery and Validation. KDD Gediminas Adomavicius, Alexander Tuzhilin
1997	A*	`conf`	Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach. KDD Gediminas Adomavicius, Alexander Tuzhilin