Private Cloud User Insight Privacy System
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Solution Overview
Problem
Users face privacy concerns and data misuse when online product providers collect and analyze their information for personalized interactions, leading to reduced user trust and compliance issues with regulations like GDPR, resulting in inefficient online operations and untailored experiences.
Innovation Solution
The Insight Generation in Private Cloud Environments (IGPCE) system intercepts user requests, creates anonymized requests, and generates targeted responses without sharing sensitive user data, allowing users to control their information and ensure compliance with data handling requirements while providing personalized services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If product providers collect and analyze user information for personalized interactions, then the quality of user experience is improved, but user privacy and data security are compromised
Solution Approach 1:
The patent introduces a private cloud environment as an intermediary between users and product providers. This mediator enables personalized interactions by processing user information locally without transmitting sensitive data to external providers, thus resolving the contradiction between personalization quality and privacy protection
Solution Approach 2:
The patent extracts sensitive user information from the communication stream between user devices and product providers by implementing local processing in a private cloud environment. This extraction allows personalization without exposing user data to external parties
2Reliability
If product providers implement strict data handling to ensure compliance with regulations, then data security is improved, but operational efficiency and personalization capability are reduced
Solution Approach 1:
The patent segments the data processing function from the product provider infrastructure by implementing local private cloud environments in user devices. This segmentation allows compliance with data handling regulations while maintaining operational efficiency, as processing occurs locally without requiring complex data management protocols at the provider level
3Adaptability or versatility
If user data is shared with multiple providers for tailored experiences, then service quality is improved, but data misuse risk and user trust are reduced
Solution Approach 1:
The private cloud environment acts as an intermediary that enables service tailoring through local processing of user information. By keeping data processing within the user's own environment, the system eliminates the need to share data with multiple providers, thus preventing data misuse while maintaining service quality
Solution Approach 2:
The patent implements self-service by enabling user devices to independently process and analyze their own information locally. This self-service capability allows tailored experiences without requiring data sharing with external providers, eliminating data misuse risks associated with multi-provider data sharing
Data Source
AI summary
A user-initiated request from a user device of a user is detected. The user-initiated request is directed to a product provider, the user-initiated request includes one or more parameters. an anonymized request is created based on the one or more parameters. The anonymized request is sent to the product provider. A provider response is received from the product provider. A targeted response is generated based on the one or more parameters of the user-initiated request and based on the provider response. The targeted response is transmitted to the user device of the user.