Dynamic Common Interest Network Generation for Real-Time Content Sharing
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Solution Overview
Problem
Current information sharing systems fail to provide real-time networks for users to discover and share content based on specific keywords, limiting the ability to connect users with common interests effectively.
Innovation Solution
The system generates a common interest network in real-time based on user-input keywords, allowing users to create and share content, with features like opinion sharing, content ranking, and expiration timers, displayed through a user-friendly interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a common interest network is generated in real-time based on user keywords, then user engagement and content relevance are improved, but system complexity and processing requirements increase
Solution Approach 1:
The system dynamically generates common interest networks in real-time based on user keywords rather than using static pre-defined networks. The network structure, participating users, and shared content are all dynamically determined at runtime based on the specific keyword input, enabling high adaptability and content relevance while managing complexity through on-demand generation rather than maintaining multiple pre-configured networks
Solution Approach 2:
The system segments the large-scale social network into multiple smaller common interest networks based on keywords. Each keyword-based network is a isolated segment containing only users and content relevant to that specific topic, reducing the complexity any single network manages while maintaining overall system versatility across multiple keyword domains
2Speed
If content is shared instantly across the network, then information dissemination speed is improved, but information accuracy and verification opportunities decrease
Solution Approach 1:
The system incorporates feedback mechanisms where users can interact with shared content through likes, comments, and shares within the common interest network. This feedback loop allows information to be rapidly disseminated while simultaneously enabling community verification and quality assessment, as relevant users can quickly provide feedback on content accuracy without significantly delaying dissemination
Solution Approach 2:
The system performs preliminary actions by pre-filtering and organizing content based on keyword relevance before sharing. Content is pre-processed and matched to appropriate common interest networks in advance, allowing instant sharing within the correct context while maintaining accuracy through pre-verification of content-keyword matching
3Productivity
If the system monitors and manages content expiration and user interactions, then content freshness and user engagement are improved, but processing time and computational resources increase
Solution Approach 1:
The system implements periodic actions through content expiration mechanisms and time-based user activity monitoring. Content automatically expires after predetermined time periods, and user engagement is monitored at regular intervals, maintaining fresh and relevant content in common interest networks while using efficient periodic checks rather than continuous processing to minimize computational overhead
Data Source
AI summary
A method of sharing information includes: determining, in response to input of a keyword, whether a common interest network corresponding to the keyword exists; generating the common interest network corresponding to the keyword in response to determining that the common interest network corresponding to the keyword does not exist; locating first common content associated with the keyword; and outputting the located first common content to the generated common interest network corresponding to the keyword. The located first common content may be output to the generated common interest network in real time.