Trusted Intermediary for Privacy-Preserving User Intent Inference
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Solution Overview
Problem
Existing digital signal monitoring techniques, such as the use of cookies, fail to provide a privacy-conscious and 'cookie-less' method for capturing and distributing user insights, as they allow unaffiliated parties to access personal information.
Innovation Solution
A computer-implemented method and system that utilizes physical information, such as location data relative to merchant items, and user data to determine an item interest level, allowing for the secure presentation of content items to users without relying on cookies or digital signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If digital signal monitoring techniques such as cookies are used to capture user information, then user insights can be obtained and transferred between parties, but personal information becomes accessible to unaffiliated third parties, compromising privacy
Solution Approach 1:
The patent introduces a trusted intermediary system that acts as a mediator between users and third parties. This intermediary holds and manages user information securely, allowing controlled access to affiliated parties while preventing unauthorized access by unaffiliated third parties. The intermediary verifies affiliations and manages consent, resolving the contradiction by enabling information sharing only through a trusted channel that prevents privacy breaches.
Solution Approach 2:
The patent extracts the harmful element (unauthorized access to personal information) from the information sharing process. By separating the information storage and access control functions into a dedicated trusted intermediary system, the harmful factor of third-party access is removed while preserving the useful function of enabling affiliated parties to access user insights with proper authorization.
2Adaptability or versatility
If cookies are used for data gathering, then information can be captured and distributed to multiple parties, but the system becomes vulnerable to unauthorized access and loses user control
Solution Approach 1:
The patent implements dynamic access control where user consent and affiliation status determine information access. The system adaptively manages data distribution by verifying user consent in real-time and controlling access based on current affiliation status. This dynamic approach maintains security and user control while enabling versatile data distribution to authorized parties.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors user consent status and affiliation verification. This feedback loop ensures that data distribution only occurs when proper authorization is confirmed, maintaining security and user control while enabling adaptable data sharing with affiliated parties who meet verification criteria.
3Ease of operation
If physical information and user data are collected to determine item interest levels, then personalized content can be presented to users, but the collection and processing of such data requires secure handling to prevent unauthorized access
Solution Approach 1:
The patent uses a trusted intermediary system to handle the complex security requirements of collecting and processing physical information and user data. The intermediary securely manages the data collection, processing, and distribution infrastructure, reducing the burden on individual systems while enabling personalized content delivery. This intermediary approach simplifies the overall system by centralizing security functions.
Solution Approach 2:
The patent extracts the complex security infrastructure requirements from the content delivery system and places them in a dedicated trusted intermediary system. This separation allows the content delivery system to focus on personalized content presentation while the intermediary handles the complex data security, collection, and processing infrastructure.
Data Source
AI summary
The present disclosure is directed to inferring user intent based on physical signals. The method includes receiving physical information associated with a first party user and a physical location associated with a merchant. The physical information is indicative of a location of the first party user relative to one or more of a plurality of first party items associated with the merchant. The method includes determining an item interest level for at least one first party item of the plurality of first party items based, at least in part, on the physical information. The method includes initiating a presentation of a content item to the first party user via a user device associated with the first party user based, at least in part, on the item interest level. The content item includes information for the at least one first party item.