Data Sharing Service API for User Data Classification
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Solution Overview
Problem
Users have limited control over how their data is shared and used by experience providers, leading to exposure to unintended actors and misuse of their data, with no direct benefit to the users themselves.
Innovation Solution
A system and method that utilizes a network of application programming interfaces (APIs) to interconnect users and experience providers, allowing users to configure and manage their data sharing permissions in real-time, aggregate user data, and classify it according to a classification scheme, providing users with control over who accesses their data and how it is used.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users do not have control over data sharing permissions, then data can be freely accessed by experience providers, but users are exposed to unintended actors and misuse of their data
Solution Approach 1:
The patent introduces a data sharing service as an intermediary between users and experience providers. This service acts as a mediator that manages data sharing permissions on behalf of users, allowing users to configure their preferences without directly managing complex data sharing operations. The intermediary handles the technical complexity of permission management while maintaining user control and security.
Solution Approach 2:
The system enables users to self-manage their data sharing permissions through a user-friendly interface. Users can configure their own data sharing preferences, select which data to share and with whom, and manage their own data without requiring technical expertise. This self-service approach empowers users to control their data while simplifying the operation.
2Quantity of substance
If user data is aggregated from multiple computing systems and experience providers, then comprehensive user profiles are created, but computational resources and data processing complexity increase
Solution Approach 1:
The patent segments the data aggregation process into distinct functional components: a data gathering mechanism that collects data from multiple sources, a classification module that organizes data into categories, and a storage system that maintains structured user profiles. This segmentation divides the complex task of aggregating data from multiple computing systems and experience providers into manageable operations, reducing overall system complexity while maintaining comprehensive user profiles.
Solution Approach 2:
The system transforms raw data from multiple sources into classified and organized data structures. By changing the parameters and format of the data through classification schemes, the system makes the data more manageable and easier to process. This parameter transformation reduces the complexity of handling aggregated data while preserving its completeness and usefulness for creating comprehensive user profiles.
3Ease of operation
If users receive personalized services based on their data, then user experience improves, but computational resources for data processing and transmission increase
Solution Approach 1:
The system performs preliminary data processing and classification before delivering personalized services. By pre-aggregating and organizing user data from multiple sources in advance, the system reduces the computational burden during actual service delivery. This preliminary action includes classifying data into relevant categories and structuring it for efficient retrieval, thereby improving user experience while minimizing real-time processing resources.
Data Source
AI summary
A system includes a first application programming interface (API), a second API, and a third API. The first API is configured to receive an input to configure a data sharing permission for a data sharing service. The second API is configured to receive, from a plurality of experience providers, an API response containing data of the user. The third API is configured to classify the data according to a classification scheme such that the data of the user is classified into a plurality of overlapping data categories, generate a user data corpus comprising the classified data of the user, and provide the user with selectable data categories based on the user dataset.