Professor Gedas Adomavicius

Project Title: 
Improving Decision-Making in Data-Rich Environments Using Machine Learning

This research involves computational techniques for aiding decision-making in information-intensive environments, which includes personalization technologies and recommender systems, machine learning and data analytics, and electronic market mechanisms. Some specific studies include: understanding and quantifying bias in recommender systems, developing algorithms for special-purpose recommender systems, detecting meaningful patterns in various social network data, and others.

Project Investigators

Professor Gedas Adomavicius
Liben Chen
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