Social Network Distribution List for User Relevance Tracking
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Solution Overview
Problem
In cloud computing environments, conventional database management techniques make it difficult for users to track the activities of other users or identify relevant users who may benefit from information updates, leading to inefficient, untimely, and incomplete reporting.
Innovation Solution
The implementation of a system that generates a distribution list of users in an online social network based on relevance, allowing for automatic identification and notification of users interested in specific records, enabling timely collaboration and information sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional database management techniques are used, then users can access database resources, but users cannot effectively track or identify other users' activities and relevant users who may benefit from information updates
Solution Approach 1:
The patent introduces a social networking system as an intermediary layer between users and the database system. This intermediary automatically tracks user activities, identifies relevant users based on social connections and relevance criteria, and distributes information updates without requiring complex direct tracking mechanisms in the database system itself.
Solution Approach 2:
The system enables automatic self-service through automated user identification and notification mechanisms. The social networking system autonomously analyzes user activities, determines relevance based on predefined criteria, and distributes information without manual intervention, reducing the need for complex manual tracking processes.
2Productivity
If manual reporting methods are used, then users can share information, but the reporting process becomes inefficient, untimely, and incomplete
Solution Approach 1:
The system performs preliminary actions by pre-establishing social networking connections and relevance criteria before information needs to be shared. When updates occur, the system has already identified relevant users through pre-computed social connections and activity patterns, enabling immediate distribution without manual user identification.
Solution Approach 2:
The system implements feedback mechanisms where user activities are continuously tracked and analyzed. This feedback loop allows the system to automatically identify patterns, determine relevance, and trigger timely information distribution based on actual user behavior rather than manual reporting schedules.
3Measurement precision
If automated user identification is implemented, then information sharing becomes timely and efficient, but the system requires complex relevance analysis mechanisms
Solution Approach 1:
The patent segments the relevance analysis into distinct components: social networking connections, user activity tracking, and relevance criteria evaluation. Each component handles a specific aspect of identification, making the overall system more manageable and less complex than a monolithic analysis system while maintaining high precision through multiple specialized modules.
Data Source
AI summary
A distribution list of users of an online social network can be used to communicate database record information to the users. In some implementations, one or more users of the online social network are identified as being relevant to the record and who are not following the record. A distribution list is provided and includes the information identifying the one or more relevant users. A network communication can be sent to users identified in the distribution list. The network communication identifies the record or information associated with the record.