18271123. Ad Frequency Management in Disjoint Identity Space simplified abstract (GOOGLE LLC)

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Ad Frequency Management in Disjoint Identity Space

Organization Name

GOOGLE LLC

Inventor(s)

Subhakanta Kar of Mountain View CA (US)

Sriram Srinivasan of Mountain View CA (US)

Jake Jolly of Mountain View CA (US)

Ad Frequency Management in Disjoint Identity Space - A simplified explanation of the abstract

This abstract first appeared for US patent application 18271123 titled 'Ad Frequency Management in Disjoint Identity Space

Simplified Explanation

The patent application describes a method for improving the accuracy of distributing content from multiple publishers to users while maintaining user privacy.

  • Statistical model generated to analyze content presentations from publishers to users
  • User identifiers determined for each user to create virtual user identifiers
  • Identification of users associated with multiple publishers using statistical model and virtual user identifiers
  • Frequency capping values generated for each publisher based on overlap metric
  • Publishers instructed to limit number of times a content element is provided to users based on frequency capping value
    • Potential Applications:**

- Online advertising platforms - Content recommendation systems - Social media platforms

    • Problems Solved:**

- Ensuring user privacy while delivering targeted content - Preventing users from being overwhelmed with repetitive content - Improving accuracy of content distribution from multiple publishers

    • Benefits:**

- Enhanced user experience by reducing repetitive content - Increased efficiency in content distribution - Protection of user privacy and data security


Original Abstract Submitted

A method for improving accuracy of distributing content from a plurality of publishers to a multiplicity of users while maintaining user privacy is disclosed herein. An example method includes generating a statistical model of presentations of content from the plurality of publishers to the multiplicity of users; determining, using the statistical model for each of the multiplicity of users, one or more user identifiers corresponding to the user, to define a virtual user identifier; determining, using the statistical model and the virtual user identifiers, how many of the multiplicity of users are associated with multiple ones of the plurality of publishers; generating, using an overlap metric, a respective frequency capping value for each of the plurality of publishers; and causing each of the plurality of publishers to limit a number of times a content element is provided to the multiplicity of users in accordance with the respective frequency capping value.