Dr. Sumit Sarkar is Professor of Information Systems and holds the Charles and Nancy Davidson Chair. "Sarkar's expertise lies in modeling uncertainty in databases and knowledge bases, and devising efficient ways to automate reasoning under uncertain conditions. His fascination with uncertainty modeling has led to publications in a wide variety of applications. For example, his research on personalization demonstrates how a website can quickly infer profiles of customers based on their browsing history, which can in turn be used to improve recommendations in e-commerce environments."
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Scalability and privacy form two critical dimensions that will eventually determine the extent of the success of big data analytics. We present scalable approaches to address privacy concerns when sharing transactional ...
We study the problem of optimally choosing the composition of the offer set for firms engaging in web-based personalization. A firm can offer items or links that are targeted for immediate sales based on what is already ...