Gedas Adomavicius

Department Chair, Professor, Carolyn I. Anderson Chair in Business Education Excellence

Information & Decision Sciences

Education

BS 1995
Mathematics Vilnius University

MS 1998
Computer Science New York University

PhD 2002
Computer Science New York University

Expertise

Electronic Market Mechanisms

Data Mining and Knowledge Discovery

Personalization Technologies and Recommender Systems

Gedas Adomavicius is a professor in the Department of Information and Decision Sciences at the Carlson School of Management, University of Minnesota. His general research interests revolve around computational techniques for aiding decisionmaking in informationintensive environments and include personalization technologies, knowledge discovery and data mining, and electronic market mechanisms. His current research deals with next generation recommender systems and realtime bidder support in complex auction mechanisms.  He has published in several leading academic journals, including "Management Science", "Information Systems Research", "Management Information Systems Quarterly", "Journal of Operations Management", "IEEE Transactions on Knowledge and Data Engineering", "ACM Transactions on Information Systems", and "Data Mining and Knowledge Discovery".  He received the National Science Foundation CAREER award in 2006 for his research on personalization technologies as well as several other grants from various national funding agencies.  He currently serves on the editorial boards of "Information Systems Research" and "INFORMS Journal on Computing".  At the Carlson School, he teaches in the undergraduate, MBA, MSBA, and PhD programs.

Selected Works

"Toward the Next Generation of Recommender Systems: A Survey of the StateoftheArt and Possible Extensions," G. Adomavicius and A. Tuzhilin, IEEE Transactions on Knowledge and Data Engineering (2005).

"Personalization Technologies: A ProcessOriented Perspective," G. Adomavicius and A. Tuzhilin, Communications of the ACM (2005).

"Towards Comprehensive RealTime Bidder Support in Iterative Combinatorial Auctions," G. Adomavicius and A. Gupta, Information Systems Research (2005).

"Incorporating Contextual Information in Recommender Systems Using a Multidemensional Approach," G. Adomavicius, R. Sankaranarayanan, S. Sen, and A. Tuzhilin, ACM Transactions on Information Systems (2005).

"Validation Sequence Optimization: A Theoretical Approach," G. Adomavicius and A. Tuzhilin, INFORMS Journal on Computing (forthcoming).

"Technology Roles and Paths of Influence in an Ecosystem Model of Technology Evolution," G. Adomavicius, J. Bockstedt, A. Gupta, and R. Kauffman, Information Technology and Management (forthcoming 2007).

Current Activities

Current Research

Multidimensional recommender systems

Techniques for customer modeling

Realtime bidder support in complex auction mechanisms

Expertdriven validation of data mining results

Personalization process and user acceptance of personalization technologies

Ecosystem models of technology evolution