Trusted Intermediary for Privacy-Preserving Content Delivery
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Solution Overview
Problem
Current online systems face a conflict between maximizing search and content retrieval relevance and user privacy, as users must disclose more information to achieve better results, risking privacy compromise, and existing technologies lack depth in personal and biometric data processing, leading to shallow internet relationships and limited tool effectiveness.
Innovation Solution
A content delivery system comprising a trusted holder of profile data, a content delivery requirement entity, and a content intermediary, which issues and communicates profile reference data to source relevant content from a content source, ensuring privacy by only disclosing necessary information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users disclose more information to achieve better search and content retrieval relevance, then search and content retrieval relevance is improved, but user privacy is compromised
Solution Approach 1:
The patent introduces a trusted third party (content intermediary) that acts as an intermediary between the user and content delivery systems. This intermediary receives profile data from the user, processes it to generate personalized content, and delivers it without requiring the user to directly disclose sensitive information to multiple services. The intermediary handles the information processing function, allowing relevance improvement while maintaining privacy through controlled information sharing.
2Object-affected harmful factors
If profiles are simplified to protect privacy, then user privacy is protected, but the depth of personal information and device intelligence is reduced
Solution Approach 1:
The patent segments profile data into different categories (e.g., demographic information, preferences, behavioral data) and controls which segments are shared with which services. The trusted intermediary selectively processes and transmits only the necessary profile segments for each specific content delivery request, rather than requiring users to provide complete deep profiles to all services. This maintains privacy by limiting exposure while preserving information depth where needed.
3Adaptability or versatility
If more personal and biometric information is collected to enhance device intelligence and personalization, then device intelligence and personalization capability are improved, but user privacy risk increases
Solution Approach 1:
The trusted intermediary serves as a centralized processor that receives personal and biometric information from users, performs the intelligence and personalization processing locally, and outputs customized content without requiring the user's raw data to be stored or processed by multiple external services. This maintains high device intelligence and personalization capability through sophisticated processing while minimizing privacy risk by limiting the scope and duration of data handling to a single trusted entity.
Data Source
AI summary
A content delivery system (100) comprises a trusted holder of profile data (200) arranged to store information concerning a conscious entity, a content delivery requirement entity (210), a content intermediary entity (226); and a source of content (232). The trusted holder of profile data (200) is arranged to issue (230) profile reference data to the content delivery requirement entity in response to a request (222) therefrom, and to communicate (224) the profile reference data and at least part of the stored information concerning the conscious entity to the content intermediary entity (226), the request for content provision (222) being capable of identifying the conscious entity to the trusted holder of profile data. The content intermediary entity (226) is arranged to source, when in use, relevant content from the source of content (232) using the at least part of the stored information concerning the conscious entity.


