Relationship Access Levels for Privacy and Data Efficiency
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Solution Overview
Problem
Social media solutions fail to accurately reflect relationships over time and provide inefficient data storage and management, leading to issues in managing various aspects of a user's life.
Innovation Solution
A relationships management system that allows users to define and manage customized access levels for different social connections, utilizing algorithms to optimize relationship representation and data access, with tools like Dynamic Keys Management to control privacy and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If social media solutions are used to manage relationships, then users can connect in various ways, but the relationships do not accurately reflect real-world connections and data storage becomes inefficient
Solution Approach 1:
The patent segments relationships into hierarchical levels (personal, professional, social) with different access permissions. Each relationship type is divided into distinct categories that can be independently managed, allowing accurate representation of real-world relationship nuances while optimizing data storage by grouping similar relationship types together.
Solution Approach 2:
The system dynamically adjusts access levels and relationship classifications based on user interactions and context. Relationships can evolve from one access level to another over time, accurately reflecting how real relationships change while maintaining efficient data structures that adapt to relationship evolution without requiring complete data restructuring.
2Reliability
If customized access levels are implemented for different social connections, then privacy and security are enhanced, but system complexity increases
Solution Approach 1:
Different access levels are assigned to different relationship segments based on their specific privacy requirements. Personal relationships receive higher privacy protection while professional relationships allow broader access. This localized quality approach ensures privacy control where needed without applying uniform complexity across the entire system.
Solution Approach 2:
The access level system serves multiple functions simultaneously: it controls privacy, manages data visibility, regulates interaction permissions, and organizes relationship categories. This multi-functionality reduces the need for separate mechanisms for each function, thereby managing system complexity while enhancing privacy and security.
3Adaptability or versatility
If multiple disparate social media solutions are used, then various relationship types can be represented, but data storage and access become inefficient
Solution Approach 1:
The patent merges multiple relationship management functions into a single unified system that handles personal, professional, and social relationships simultaneously. By combining what would otherwise require multiple separate social media platforms into one system with hierarchical access levels, it maintains comprehensive relationship type coverage while dramatically improving data storage and access efficiency.
Solution Approach 2:
The system adds a hierarchical dimension to relationship management by introducing access levels (personal, professional, social) as an organizational layer. This dimensional approach allows efficient categorization and retrieval of relationships without requiring separate systems for each relationship type, optimizing both versatility and data access efficiency.
Data Source
AI summary
Relationships management systems, methods, and apparatuses are discussed herein. Techniques may include establishing, in a relationships management system, a user profile. The user profile may be associated with at least a first access level comprising a first plurality of functions and a second access level comprising a second plurality of functions. The first access level and the second access level may be defined based at least in part on input via a user interface.