Privacy-Preserving Content Delivery Using Local Interest Groups
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Solution Overview
Problem
The eradication of third-party cookies hinders the ability of computing systems to group users based on shared interests or activities, compromising user privacy and leading to irrelevant content distribution, which wastes bandwidth and computational resources.
Innovation Solution
Content platforms predict user interest groups based on contextual data from individual requests, storing this information on the client device and using machine learning models to enhance relevance without tracking across multiple sites, thus maintaining privacy and reducing network bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If third-party cookies are used to track users across multiple sites, then user interest grouping and content relevance improve, but user privacy and data security deteriorate
Solution Approach 1:
The patent segments the tracking function by platform - each content platform independently determines interest groups for users based on that platform's contextual data, rather than using centralized third-party cookies. This segmentation allows relevant content delivery while preserving user privacy, as each platform operates autonomously without cross-site tracking
Solution Approach 2:
The patent introduces an intermediary mechanism where interest group information is stored locally on user devices rather than being transmitted across networks. This intermediary storage approach enables content platforms to access interest group data without requiring direct user tracking, thus maintaining privacy while achieving content relevance
2Measurement precision
If user tracking across multiple sites is implemented, then interest group predictions improve, but network bandwidth and computational resources are wasted
Solution Approach 1:
The patent implements preliminary action by having each content platform independently determine and store interest group information on user devices before content delivery. This pre-established local storage eliminates the need for continuous network communication to track user interests, reducing bandwidth consumption while maintaining prediction accuracy
Solution Approach 2:
The patent enables self-service by allowing user devices to autonomously store and utilize interest group information from multiple content platforms. The device itself manages the interest group data and performs local matching with content, eliminating the need for external tracking infrastructure and reducing overall network computational overhead
Data Source
AI summary
Methods, systems, and apparatus, including medium-encoded computer program products for selecting and presenting content in privacy preserving manners. A digital component request can be received from a client device at a first content platform, and can request digital components for presentation and can include contextual data describing an environment in which the digital component will be presented. Based on the contextual data, a client device user can be added to interest groups. Based on the contextual data, a digital component is selected for distribution to the client device. The selected digital component and instruction data are provided to the client device causing the client device to: update a membership count that indicates that the user has been added to the interest group; and include the selected digital component in a digital component selection process to select a digital component for presentation to the user of the client device.