Unified Profile Service Aggregation and Inference
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Solution Overview
Problem
Users face the inconvenience of reentering information across multiple services and managing outdated user profiles, leading to inefficiencies and inaccuracies.
Innovation Solution
A unified profile service aggregates user profiles and generates inferred profiles based on confidence levels, allowing services to access and update user information efficiently, reducing the need for manual reentry and ensuring data accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a unified profile service aggregates user profiles across multiple services, then data reliability and processing efficiency are improved, but device complexity and system integration difficulty increase
Solution Approach 1:
The patent merges multiple scattered user profiles across different services into a single unified profile service. This consolidation aggregates user data from various sources (social media, e-commerce, entertainment services) into one centralized repository, improving data reliability by eliminating redundancy and inconsistencies while reducing the need for users to maintain multiple profiles manually.
Solution Approach 2:
The unified profile service acts as a universal system that serves multiple functions: storing user data, generating inferred profiles, providing data to various services, and enabling cross-service user experiences. This multi-functional approach handles diverse data types and service requirements through a single platform, managing complexity through standardized interfaces.
2Productivity
If the system generates inferred user profiles using confidence levels, then productivity and user convenience are improved, but measurement precision and data accuracy requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-generating inferred user profiles using available data and confidence level calculations before users actually need them. When a new service requests user data, the inferred profile is already prepared, eliminating the need for users to manually input information at the moment of service access. This advance preparation improves productivity while the confidence level mechanism ensures accuracy by only inferring data when sufficient evidence exists.
Solution Approach 2:
The confidence level system incorporates feedback mechanisms where the system continuously evaluates the quality and reliability of inferred data. By calculating confidence levels based on data sources, recency, and consistency, the system provides feedback on data reliability, allowing it to adjust inference strategies and improve accuracy over time while maintaining high productivity.
3Speed
If user profile information is cached by services, then processing speed is improved, but data freshness and reliability may deteriorate
Solution Approach 1:
The system implements dynamic caching strategies where the unified profile service manages serviceable copies of user profiles that can be updated at different frequencies based on data criticality. Frequently accessed but less critical data can be cached longer for speed, while important user information maintains closer synchronization with the source. This dynamic approach balances processing speed with data freshness by adjusting cache validity periods and update triggers.
Data Source
AI summary
Examples of the present disclosure describe systems and methods for user profile aggregation and inference generation. In an example, user profiles for a plurality of services may be stored by a unified profile service. An inferred user profile may be generated for a user, which may be used to provide inferred user information for inclusion in a new user profile. Accordingly, the user may not need to reenter information that may already be stored by the unified profile service. The inferred user profile may be generated based on one or more confidence levels in order to determine which user information is most likely to be accurate. In some examples, a user may update aspects of an inferred user profile and may indicate that the update should be incorporated into other user profiles stored by the unified profile service.