18649531. SYSTEMS AND METHODS FOR PRESERVING DEVICE PRIVACY simplified abstract (Google LLC)

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 18649531 titled 'SYSTEMS AND METHODS FOR PRESERVING DEVICE PRIVACY

The present disclosure introduces systems and methods for client-side anonymized content selections. This method involves collecting identifications of content selection lists associated with multiple devices, selecting a subset of these lists based on a threshold of unique device associations, and transmitting a request for content based on the selected subset of 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 of unique device associations.
• A request for content is then transmitted based on the selected subset of lists.
• The content server selects and transmits the requested content based on the content selection lists of the selected subset.
• This process allows for anonymized content selection while ensuring a diverse range of content preferences are considered.

Potential Applications: This technology could be applied in online advertising, content recommendation systems, and personalized content delivery platforms.

Problems Solved: This technology addresses the need for personalized content selection while maintaining user anonymity and diversity in content preferences.

Benefits: - Enhanced user privacy through anonymized content selection - Improved content recommendation accuracy - Increased user engagement with personalized content

Commercial Applications: This technology could be utilized by online platforms, streaming services, and e-commerce websites to enhance user experience and increase user engagement.

Prior Art: Researchers interested in this technology may explore prior art related to anonymized content selection, personalized content recommendation systems, and user privacy in online platforms.

Frequently Updated Research: Stay updated on research related to anonymized content selection, personalized content recommendation systems, and user privacy in online platforms for the latest advancements in the field.

Questions about Client-Side Anonymized Content Selection: 1. How does this technology ensure user anonymity while selecting personalized content? 2. What are the potential implications of this technology on user engagement and content recommendation accuracy?

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.