Gediminas Adomavicius

University of Minnesota - Twin Cities - Carlson School of Management

Professor

19th Avenue South

Minneapolis, MN 55455

United States

  • University of Minnesota - Twin Cities - Carlson School of Management

SCHOLARLY PAPERS

14

DOWNLOADS
Rank 30,625

SSRN RANKINGS

Top 30,625

in Total Papers Downloads

1,452

CITATIONS
Rank 45,025

SSRN RANKINGS

Top 45,025

in Total Papers Citations

3

Scholarly Papers (14)

Actions:
Email selected abstracts
1.

Mind the Gap: Accounting for Measurement Error and Misclassification in Variables Generated via Data Mining

Information Systems Research, Forthcoming
Number of pages: 66 Posted: 28 Apr 2017 Last Revised: 01 May 2017
Mochen Yang, Gediminas Adomavicius, Gordon Burtch and Yuqing Ching Ren
Indiana University - Kelley School of Business, University of Minnesota - Twin Cities - Carlson School of Management, University of Minnesota - Twin Cities - Carlson School of Management and Carlson School of Management
Downloads 328 (89,742)

Abstract:

Loading...

data mining, econometrics, measurement error, misclassification, statistical inference

2.

Recommendation Technologies: Survey of Current Methods and Possible Extensions

Downloads 241 (124,480)

Recommendation Technologies: Survey of Current Methods and Possible Extensions

NYU Working Paper No. 2451/14115
Number of pages: 39 Posted: 09 Oct 2008
Gediminas Adomavicius and Alexander Tuzhilin
University of Minnesota - Twin Cities - Carlson School of Management and New York University (NYU) - Leonard N. Stern School of Business
Downloads 138 (205,959)

Abstract:

Loading...

recommender systems, survey, rating estimation methods, extensions to recommender systems

Recommendation Technologies: Survey of Current Methods and Possible Extensions

NYU Working Paper No. 2451/14144
Number of pages: 39 Posted: 13 Oct 2008
Gediminas Adomavicius and Alexander Tuzhilin
University of Minnesota - Twin Cities - Carlson School of Management and New York University (NYU) - Leonard N. Stern School of Business
Downloads 103 (256,879)

Abstract:

Loading...

recommender systems, survey, rating estimation methods, extensions to recommender systems

3.

Understanding User-Generated Content and Customer Engagement on Facebook Business Pages

Information Systems Research, Forthcoming, Kelley School of Business Research Paper No. 18-82
Number of pages: 59 Posted: 27 Oct 2018
Mochen Yang, Yuqing Ching Ren and Gediminas Adomavicius
Indiana University - Kelley School of Business, Carlson School of Management and University of Minnesota - Twin Cities - Carlson School of Management
Downloads 159 (182,825)

Abstract:

Loading...

social media, user-generated content, word-of-mouth, customer engagement, Facebook

4.

Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects

Number of pages: 40 Posted: 26 Jun 2013
Gediminas Adomavicius, Jesse Bockstedt, Shawn Curley and Jingjng Zhang
University of Minnesota - Twin Cities - Carlson School of Management, University of Arizona - Department of Management Information Systems, University of Minnesota - Minneapolis and Indiana University - Kelley School of Business - Department of Operation & Decision Technologies
Downloads 133 (211,525)

Abstract:

Loading...

anchoring effects, behavioral decision making, behavioral economics, electronic commerce, experimental research, preferences, recommender systems

5.

Effects of Online Recommendations on Consumers’ Willingness to Pay

Information Systems Research, Forthcoming, Kelley School of Business Research Paper No. 17-45
Number of pages: 41 Posted: 08 Jun 2017
Gediminas Adomavicius, Jesse Bockstedt, Shawn Curley and Jingjng Zhang
University of Minnesota - Twin Cities - Carlson School of Management, University of Arizona - Department of Management Information Systems, University of Minnesota - Minneapolis and Indiana University - Kelley School of Business - Department of Operation & Decision Technologies
Downloads 116 (234,745)

Abstract:

Loading...

behavioral economics, electronic commerce, laboratory experiments, preferences, recommender systems, willingness to pay

6.

Modeling Supply-Side Dynamics of IT Components, Products, and Infrastructure: An Empirical Analysis Using Vector Autoregression

Information Systems Research, Forthcoming.
Number of pages: 55 Posted: 18 Nov 2011 Last Revised: 20 Nov 2011
Jesse Bockstedt, Gediminas Adomavicius and Alok Gupta
University of Arizona - Department of Management Information Systems, University of Minnesota - Twin Cities - Carlson School of Management and University of Minnesota - Twin Cities - Carlson School of Management
Downloads 106 (250,167)

Abstract:

Loading...

information systems and technology trends, supply-side forces, technological change, technology ecosystems, technology forecasting, time series analysis, vector autoregression

7.

REQUEST: A Query Language for Customizing Recommendations

REQUEST: A Query Language for Customizing Recommendations. Information System Research. vol. 22 no. 1 99-117, (2011)
Number of pages: 19 Posted: 09 Oct 2008 Last Revised: 30 Aug 2014
Gediminas Adomavicius, Alexander Tuzhilin and Rong Zheng
University of Minnesota - Twin Cities - Carlson School of Management, New York University (NYU) - Leonard N. Stern School of Business and Hong Kong University of Science and Technology - Business School - Department of Information Systems, Business Statistics and Operations Management
Downloads 103 (255,268)

Abstract:

Loading...

personalization,recommender systems, recommendation query language, multidimensional recommendations, contextual recommendations, recommendation algebra

8.

Computational Strategies for Inventory Liquidation

Number of pages: 15 Posted: 13 Dec 2016
Gediminas Adomavicius, Alok Gupta, Zach Sheffler and Mochen Yang
University of Minnesota - Twin Cities - Carlson School of Management, University of Minnesota - Twin Cities - Carlson School of Management, University of Minnesota - Twin Cities, Carlson School of Management, Students and Indiana University - Kelley School of Business
Downloads 79 (301,808)

Abstract:

Loading...

9.

Reducing Recommender Systems Biases: An Investigation of Rating Display Designs

Forthcoming, MIS Quarterly, Kelley School of Business Research Paper No. 19-18
Number of pages: 54 Posted: 27 Mar 2019 Last Revised: 11 Jun 2019
Gediminas Adomavicius, Jesse Bockstedt, Shawn Curley and Jingjng Zhang
University of Minnesota - Twin Cities - Carlson School of Management, University of Arizona - Department of Management Information Systems, University of Minnesota - Minneapolis and Indiana University - Kelley School of Business - Department of Operation & Decision Technologies
Downloads 76 (308,761)

Abstract:

Loading...

recommender systems, decision bias, interface design, preference ratings, scale compatibility, experimental research

10.

Efficient Computational Strategies for Dynamic Inventory Liquidation

Information Systems Research, Forthcoming, Kelley School of Business Research Paper No. 18-79
Number of pages: 74 Posted: 02 Oct 2018
Mochen Yang, Gediminas Adomavicius and Alok Gupta
Indiana University - Kelley School of Business, University of Minnesota - Twin Cities - Carlson School of Management and University of Minnesota - Twin Cities - Carlson School of Management
Downloads 45 (398,263)

Abstract:

Loading...

inventory liquidation, scalable computational approaches, dynamic programming, greedy heuristic, simulation, design science

11.

Designing Real-Time Feedback for Bidders in Homogeneous-Item Continuous Combinatorial Auctions

MIS Quarterly, Forthcoming, Kelley School of Business Research Paper No. 19-3
Number of pages: 70 Posted: 19 Dec 2018
Gediminas Adomavicius, Alok Gupta and Mochen Yang
University of Minnesota - Twin Cities - Carlson School of Management, University of Minnesota - Twin Cities - Carlson School of Management and Indiana University - Kelley School of Business
Downloads 38 (424,459)

Abstract:

Loading...

continuous combinatorial auctions, multi-unit auctions, electronic markets, real-time bidder support, allocative fairness, computational artifact design

12.

Discovery of Actionable Patterns in Databases: the Action Hierarchy Approach

NYU Working Paper No. 2451/14174
Number of pages: 5 Posted: 13 Oct 2008
Gediminas Adomavicius and Alexander Tuzhilin
University of Minnesota - Twin Cities - Carlson School of Management and New York University (NYU) - Leonard N. Stern School of Business
Downloads 23 (494,776)
Citation 3

Abstract:

Loading...

13.

Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework

Information Systems Research, Forthcoming
Number of pages: 46 Posted: 07 Jun 2019 Last Revised: 11 Jun 2019
Jingjng Zhang, Gediminas Adomavicius, Alok Gupta and Wolfgang Ketter
Indiana University - Kelley School of Business - Department of Operation & Decision Technologies, University of Minnesota - Twin Cities - Carlson School of Management, University of Minnesota - Twin Cities - Carlson School of Management and University of Cologne - Institute of Energy Economics
Downloads 5 (601,172)

Abstract:

Loading...

dynamics of recommender systems, agent-based modeling, simulation, consumption strategies, prediction accuracy, consumption diversity, consumption relevance

14.

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

Kelley School of Business Research Paper No. 19-20
Posted: 14 Mar 2019 Last Revised: 03 Jun 2019
Mochen Yang, Edward McFowland, Gordon Burtch and Gediminas Adomavicius
Indiana University - Kelley School of Business, University of Minnesota - Minneapolis, University of Minnesota - Twin Cities - Carlson School of Management and University of Minnesota - Twin Cities - Carlson School of Management

Abstract:

Loading...

machine learning, econometric analysis, instrumental variable, random forest, causal inference