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CSOM Information &Decision Sci 3-320 CarlSMgmt 321 19th Ave S Minneapolis, MN  55455 Phone: 612/625-9504 gedas@umn.edu

Education
PhD, 2002, computer science, New York University
MS, 1998, computer science, New York University
BS, 1995, mathematics, Vilnius University

Gedas Adomavicius is an associate professor in the Department of Information and Decision Sciences at the Carlson School of Management, University of Minnesota. His research interests include personalization technologies, customer relationship management, knowledge discovery and data mining, and e-commerce technologies. His current research deals with multidimensional recommender systems and novel techniques for customer modeling. He has published in several leading academic journals, including "Data Mining and Knowledge Discovery" and "IEEE Computer." He teaches an MBA course on Internet Technologies.

Expertise
Personalization technologies
Data mining
E-commerce technologies

Current Research
Multidimensional recommender systems
Real-time bidder support in complex auction mechanisms
Expert-driven validation of data mining results
Techniques for customer modeling
Personalization process and user acceptance of personalization technologies
Ecosystem models of technology evolution

Major Publications

• "Towards Comprehensive Real-Time 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).
• "Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions," G. Adomavicius and A. Tuzhilin, IEEE Transactions on Knowledge and Data Engineering (2005).
• "Personalization Technologies: A Process-Oriented Perspective," G. Adomavicius and A. Tuzhilin, Communications of the ACM (2005).
• "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).
• "Validation Sequence Optimization: A Theoretical Approach," G. Adomavicius and A. Tuzhilin, INFORMS Journal on Computing (forthcoming).

Courses

Fall, 2009

IDSC 6050 Information Technologies and Solutions Sec.  060

Spring, 2010

IDSC 4490 Information Systems Special Topics Sec.  001

IDSC 6050 Information Technologies and Solutions Sec.  060

IDSC 6444 Business Intelligence Sec.  060

IDSC 8801 Research Seminar in Information and Decision Sciences Sec.  002