Third Party App User Data Aggregation via Action Type Segmentation
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Solution Overview
Problem
Current social networking systems lack mechanisms for users to share information about their interactions with objects to third-party applications, preventing these applications from generating personalized content based on user actions.
Innovation Solution
A social networking system enables third-party applications to request and aggregate user data based on action types, allowing users to control privacy settings for accessing this information, which is then used to generate personalized content and published back to the system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users share information about their interactions with objects to third-party applications, then third-party applications can generate personalized content for users, but user privacy control becomes more complex
Solution Approach 1:
The patent segments user data sharing permissions by action types (e.g., likes, comments, shares, purchases) rather than requiring users to make blanket decisions about all their data. This allows users to grant or deny access to specific categories of interactions with objects, enabling personalized content generation for permitted actions while maintaining privacy for others, thus resolving the contradiction between personalization capability and privacy control complexity
Solution Approach 2:
The patent implements local quality by allowing different privacy settings for different action types and different third-party applications. Users can specify which applications can access which types of user interactions with objects, creating a granular permission system that tailors data sharing to specific contexts rather than applying uniform privacy rules across all scenarios
2Adaptability or versatility
If third-party applications access aggregated user data based on action types, then personalized content generation is enabled, but data security requirements increase
Solution Approach 1:
The patent introduces the social networking system as an intermediary that aggregates user data from multiple sources (including third-party applications) and presents it to requesting third-party applications in a controlled manner. This intermediary layer filters, validates, and manages data access based on user permissions, enabling flexible data utilization for personalized content while maintaining security through centralized control and audit capabilities
3Object-affected harmful factors
If users can control privacy settings for each action type, then user privacy protection is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal privacy control mechanism that handles multiple action types (likes, comments, shares, purchases, and other user interactions with objects) through a single integrated permission system. The same privacy setting framework applies across all action types and third-party applications, providing comprehensive privacy protection without requiring separate control mechanisms for each scenario, thus limiting the increase in system complexity
Data Source
AI summary
A social networking system enables a third party application to request user data based on action types and aggregations of a user's data corresponding to an action type with respect to multiple objects. Users of the social networking system may provide privacy or accessibility of their information based on the action type associated with the information (e.g., a user may allow a particular application to access all actions of a certain type, regardless of the source of those actions). The third party application may use this accessed information to generate personalized content for a user based on aggregations of the user's data and then publish the personalized content back to the social networking system.