Dynamic Default Values for Data Object Fields
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Solution Overview
Problem
Existing systems for online professional networks lack the ability to assign dynamic default values to data object fields based on specific conditions, leading to inefficiencies and complexities in maintaining privacy settings, particularly across different locations and user types, resulting in potential data privacy violations and cumbersome code maintenance.
Innovation Solution
The implementation of a data-processing system that uses diffs (differences) to store and apply default values to data object fields, ensuring type safety and simplifying the addition or modification of new default values and fields by mapping conditions to corresponding default values through a patch request method.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static default values are used for data object fields, then code maintenance is simpler, but the system cannot adapt to different locations and user types, leading to privacy violations
Solution Approach 1:
The patent applies dynamics by transforming static default values into dynamic default values that automatically adapt to different locations and user types. The system determines default values based on the user's location and profile characteristics at runtime, allowing the privacy settings to be flexible and context-aware without requiring complex manual configuration or maintenance.
2Reliability
If dynamic default values are implemented based on location and user type, then privacy compliance is improved, but code maintenance becomes more cumbersome
Solution Approach 1:
The patent applies self-service by enabling the system to automatically determine and apply appropriate default values based on location and user type without requiring manual intervention. The system autonomously queries location data, analyzes user profile characteristics, and selects compliant default values, eliminating the need for developers to manually maintain complex privacy rule mappings across different jurisdictions and user types.
3Adaptability or versatility
If manual configuration of default values is used, then type safety is maintained, but the system lacks flexibility for new locations and user types
Solution Approach 1:
The patent applies preliminary action by pre-defining a structured schema that specifies valid types for each field in the data object. This schema serves as a template that constrains and validates default values before they are assigned, ensuring type safety is maintained even as the system dynamically adapts to new locations and user types. The schema acts as a preliminary framework that guides automatic value generation while preventing type errors.
Data Source
AI summary
The disclosed embodiments include a system for processing data. During operation, the system obtains, for a field in a data object, a set of diffs containing default values for the field and a set of mappings representing a set of conditions associated with the data object. Next, the system matches an attribute associated with an instance of the data object to a condition in the set of conditions. The system then uses the mappings to identify, in the set of diffs, a diff to be applied under the condition. Finally, the system updates the field in the instance with a default value associated with the condition by applying the diff to the instance.