Challenges in measuring online advertising systems

  • Authors:
  • Saikat Guha;Bin Cheng;Paul Francis

  • Affiliations:
  • Microsoft Research, Bangalore, India;Max Planck Institute for Software Systems, Kaiserslautern-Saarbruecken, Germany;Max Planck Institute for Software Systems, Kaiserslautern-Saarbruecken, Germany

  • Venue:
  • IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
  • Year:
  • 2010

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Abstract

Online advertising supports many Internet services, such as search, email, and social networks. At the same time, there are widespread concerns about the privacy loss associated with user targeting. Yet, very little is publicly known about how ad networks operate, especially with regard to how they use user information to target users. This paper takes a first principled look at measurement methodologies for ad networks. It proposes new metrics that are robust to the high levels of noise inherent in ad distribution, identifies measurement pitfalls and artifacts, and provides mitigation strategies. It also presents an analysis of how three different classes of advertising -- search, contextual, and social networks, use user profile information today.