In online advertising, our aim is to match the advertisers with the most relevant users to
optimize the campaign performance. In the pursuit of achieving this goal, multiple data
sources provided by the advertisers or third-party data providers are utilized to choose the
set of users according to the advertisers' targeting criteria. In this paper, we present a
framework that can be applied to assess the quality of such data sources in large scale. This
framework efficiently evaluates the similarity of a specific data source categorization to that …

In online advertising, our aim is to match the advertisers with the most relevant users to
optimize the campaign performance. In the pursuit of achieving this goal, multiple data
sources provided by the advertisers or third-party data providers are utilized to choose the
set of users according to the advertisers' targeting criteria. In this paper, we present a
framework that can be applied to assess the quality of such data sources in large scale. This
framework efficiently evaluates the similarity of a specific data source categorization to that …