20240054527. Ad Frequency Management in Disjoint Identity Space simplified abstract (GOOGLE LLC)
Contents
Ad Frequency Management in Disjoint Identity Space
Organization Name
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 20240054527 titled 'Ad Frequency Management in Disjoint Identity Space
Simplified Explanation
The abstract describes a method for improving the accuracy of distributing content from multiple publishers to users while maintaining user privacy.
- Generating a statistical model of content presentations from publishers to users
- Determining user identifiers for each user to create virtual user identifiers
- Analyzing how many users are associated with multiple publishers
- Generating frequency capping values for each publisher using an overlap metric
- Limiting the number of times a content element is provided to users based on the frequency capping value
- Potential Applications:**
- Online advertising - Content recommendation systems - Social media platforms
- Problems Solved:**
- Ensuring user privacy while delivering targeted content - Preventing users from being overwhelmed with repeated content - Improving the accuracy of content distribution
- Benefits:**
- Enhanced user experience - Increased efficiency in content distribution - Protection of user privacy
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.