Google llc (20240281566). SYSTEMS AND METHODS FOR PRESERVING DEVICE PRIVACY simplified abstract

SYSTEMS AND METHODS FOR PRESERVING DEVICE PRIVACY

Organization Name

google llc

Inventor(s)

Michael Kleber of Newton MA (US)

Zhenyu Liu of San Jose CA (US)

Josh Karlin of Mountain View CA (US)

Deepak Ravichandran of Los Altos CA (US)

Nitish John Korula of New York NY (US)

Yijian Bai of San Ramon CA (US)

Jason Hsueh of Palo Alto CA (US)

Gang Wang of Frederick MD (US)

SYSTEMS AND METHODS FOR PRESERVING DEVICE PRIVACY - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240281566 titled 'SYSTEMS AND METHODS FOR PRESERVING DEVICE PRIVACY

The present disclosure introduces systems and methods for client-side anonymized content selections. The method involves collecting identifications of content selection lists associated with multiple devices, selecting a subset of these lists based on a threshold number of unique devices, and transmitting a request for content based on the selected lists.

• The method involves collecting identifications of content selection lists associated with multiple devices.
• A subset of these lists is selected based on a threshold number of unique devices.
• A request for content is transmitted based on the selected lists.
• The content server then selects and transmits the requested content.

Potential Applications: This technology could be applied in online advertising to deliver personalized content to users while maintaining their anonymity. It could also be used in content recommendation systems to enhance user experience.

Problems Solved: This technology addresses the challenge of providing personalized content recommendations without compromising user privacy. It also helps in optimizing content delivery based on user preferences.

Benefits: - Enhanced user experience through personalized content recommendations - Improved privacy protection for users - Efficient content delivery based on user preferences

Commercial Applications: This technology could be valuable for online platforms, advertising agencies, and content providers looking to enhance user engagement and deliver targeted content without compromising user privacy.

Questions about the Technology: 1. How does this technology ensure user anonymity while delivering personalized content? 2. What are the potential challenges in implementing this technology on a large scale?

Frequently Updated Research: Researchers are continually exploring ways to improve the efficiency and accuracy of content selection algorithms to enhance user experience and privacy protection.

Original Abstract Submitted

the present disclosure provides systems and methods for client-side anonymized content selections. the method includes collecting a plurality of identifications of content selection lists, each content selection list associated with the first device and at least one other device. the method includes selecting a first subset of the content selection lists, responsive to a total number of unique device associated with a plurality of content selection lists of the first subset exceeding a threshold. the method includes transmitting a request for an item of content, the request comprising identifications of the content selection lists of the selected first subset. the method includes receiving a first item of content selected by the content server based on the content selection lists of the selected first subset.