Personalized Social Card Sharing Architecture for PDAs
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing social networking solutions do not provide a unified method for users to share personalized information across all content types and sources, requiring users to manually re-enter information when sharing content with others.
Innovation Solution
A digital architecture that enables personalized content sharing through personal digital assistants (PDAs), allowing users to subscribe to and share 'social cards' with specific users or groups, featuring a remote subscription component for endpoint registration, a mapping component for secure storage and filtering, and a local interface for notifications and status management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually re-enter information when sharing content, then content can be shared across different platforms, but time consumption and error rate increase
Solution Approach 1:
The patent implements automatic copying of content and user profile information from one platform to another. The system captures content cards displayed on a first platform, extracts relevant information including user profiles, and automatically populates corresponding fields on a second platform, eliminating manual re-entry and reducing errors.
Solution Approach 2:
The system performs preliminary actions by pre-fetching and storing user profile information and content data before the sharing operation is needed. User profiles are cached and prepared in advance, so when content needs to be shared, the information is already available and can be automatically transferred without user intervention.
2Loss of information
If all users receive all shared content, then complete information distribution is achieved, but information flooding and redundancy increase
Solution Approach 1:
The patent applies local quality by customizing content distribution based on individual user characteristics. The system analyzes each user's profile, preferences, and historical interactions to determine which content cards are most relevant to them. This allows the same content to be selectively distributed to different users based on their specific needs and interests, rather than uniformly to all users.
Solution Approach 2:
The system implements feedback mechanisms by monitoring user interactions with shared content cards. When a user engages with or ignores certain types of content, the system uses this feedback to adjust future content distribution, reducing redundancy and preventing information flooding by learning from user preferences over time.
3Ease of operation
If personalized content sharing is implemented, then user experience improves, but system complexity increases
Solution Approach 1:
The patent introduces intermediary components that mediate between users and the complex personalized content sharing system. These intermediaries include automated agents that handle profile matching, content filtering, and distribution logic, shielding users from the underlying system complexity while delivering personalized content sharing experiences.
Solution Approach 2:
The system implements multi-functional components that handle multiple tasks simultaneously. The content card system serves as both the information container and the distribution mechanism, while user profiles serve both as identification data and as filtering criteria for personalized content delivery, reducing overall system complexity through functional consolidation.
Data Source
AI summary
Architecture that enables a user to designate acceptance to receiving social cards from other user in a social network using a personal digital assistant. A mapping component maintains the mappings of all users who have accepted to participate in card sharing and the acceptance level. A whitelist of users can be created that lists the users to whom a social card can be sent from an endpoint. The user can create local groups dynamically at runtime on the local endpoint, where the local groups enable the sharing of the personalized content with multiple users concurrently. The shared card is selected by the sending user and becomes available to the PDA on the proactive canvas of the recipient's PDA along with other cards. Based on the user engagement history, these cards can be ranked among other cards social or non-social PDA cards. Conflation, push notifications, and filtering are also provided.