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Abstract:
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Pandora provides advertisers with proprietary listener segments to better target their audience. Using survey data as ground truth, we classify millions of users based on listening behavior. Viewing this as a missing data problem, we use an inverse probability weighted loss function to correct for survey sample bias. We describe an example segment task and discuss challenges in the implementation.
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