Krishna Uppala

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Insights based on detailed data on consumer behavior, product performance and marketplace behavior are driving innovation and competition in the internet space. We introduce Everest, a SQL-compliant data warehousing engine, based on a column architecture that we have built and deployed at Yahoo!. In contrast to commercially available engines, this massively(More)
Online display advertisers extensively use the concept of a user segment to cluster users into targetable groups. When the sizes of such segments are less than the desired value for campaign budgets, there is a need to use probabilistic modeling to expand the size. This process is termed look-alike modeling. Given the multitude of data providers and on-line(More)
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