18188968. ENHANCING USER PRIVACY USING NON-UNIQUE USER IDENTIFIERS simplified abstract (Google LLC)

ENHANCING USER PRIVACY USING NON-UNIQUE USER IDENTIFIERS

Organization Name

Google LLC

Inventor(s)

Scott David Schneider of Burbank CA (US)

ENHANCING USER PRIVACY USING NON-UNIQUE USER IDENTIFIERS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18188968 titled 'ENHANCING USER PRIVACY USING NON-UNIQUE USER IDENTIFIERS

The patent application describes methods, systems, and apparatus for distributing digital contents to client devices while preserving user privacy.

• The system obtains privacy-preserving user data, including non-unique user IDs, for a set of users.
• The system processes the privacy-preserving user data to estimate metrics for digital components.
• Based on the estimated metrics, the system adjusts distribution parameters and distributes digital components to client devices.

Potential Applications: - Digital content distribution platforms - Data analytics for digital marketing - Personalized content delivery systems

Problems Solved: - Protecting user privacy while distributing digital content - Improving targeted content delivery - Enhancing user experience on digital platforms

Benefits: - Enhanced user privacy protection - More accurate content distribution - Improved user engagement and satisfaction

Commercial Applications: Title: Privacy-Preserving Digital Content Distribution Technology This technology can be used in digital marketing, online streaming platforms, and e-commerce websites to improve user experience and increase engagement.

Questions about Privacy-Preserving Digital Content Distribution Technology: 1. How does this technology ensure user privacy while distributing digital content? - The system uses non-unique user IDs to protect user privacy and only shares necessary data for content distribution.

2. What are the potential implications of this technology on digital marketing strategies? - This technology can help marketers deliver more targeted and personalized content to users, leading to higher engagement and conversion rates.

Original Abstract Submitted

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing digital contents to client devices are described. The system obtains privacy-preserving user data, including non-unique user IDs, for a set of users. The system processes the privacy-preserving user data to estimate one or more metrics for one or more digital components. The system adjusts, based on the estimated metrics, one or more distribution parameters, and distributes digital components to the client devices based on the distribution parameters.