Automated Social Group Creation via Interaction Data Analysis
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Solution Overview
Problem
Existing online community platforms face challenges in efficiently creating private group pages due to the manual and error-prone process of whitelisting users, leading to restricted access and inefficient use of server resources.
Innovation Solution
A computer-implemented method that creates private group pages based on stored interaction data between users, automatically selecting and associating digital accounts for access, thereby reducing the need for manual whitelisting and optimizing group membership.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually create private group pages and whitelist individual profiles, then group privacy and access control are improved, but user effort and time consumption increase significantly
Solution Approach 1:
The system automatically performs the whitelisting function by analyzing interaction data and generating group membership lists without requiring manual user intervention. The computer-implemented method autonomously identifies relevant users based on their interactions with the group administrator and existing group members, thereby eliminating the time-consuming manual whitelist creation process while maintaining reliable access control.
Solution Approach 2:
The system pre-processes interaction data between users before group creation is requested. By storing and analyzing digital communication data representing conversations between digital accounts in advance, the system prepares the necessary information to automatically generate appropriate group memberships when a user requests private group page creation, thus eliminating the need for manual whitelist specification at the time of group creation.
2Reliability
If users manually specify each whitelisted user, then precise access control is achieved, but the complexity of the process increases
Solution Approach 1:
The system autonomously analyzes stored interaction data and automatically determines appropriate group memberships based on communication patterns. This self-service approach replaces the complex manual process of specifying each whitelisted user with an automated algorithm that processes interaction data and generates membership lists, thereby reducing process complexity while maintaining reliable access control through data-driven decisions.
Solution Approach 2:
The manual mechanical process of users specifying whitelist members is replaced by an automated computational system that analyzes digital communication data. The computer-implemented method uses algorithms to process interaction patterns and automatically generate group membership assignments, substituting the manual mechanical specification process with an automated information processing system that reduces complexity while achieving precise access control.
3Ease of operation
If manual whitelisting is used to create private groups, then user control over group membership is improved, but server resources are wasted due to inefficient processing
Solution Approach 1:
The system pre-processes and stores interaction data between users before group creation is needed. By analyzing communication patterns in advance and storing this data structurally organized by user interactions, the system prepares information that can be quickly retrieved and processed when group creation is requested, thereby reducing server processing load at the time of group creation while maintaining user control through automated membership generation based on pre-analyzed data.
Solution Approach 2:
The automated system performs the resource-intensive analysis of interaction data and generation of group memberships without requiring manual user specification of each member. This self-service approach consolidates data processing and membership generation into an efficient automated workflow, reducing server resource waste compared to manual processes while preserving user control through the ability to review and approve automatically generated memberships.
Data Source
AI summary
A method and apparatus for creation and storage of online community groups is provided. In various implementations, digital communication data is stored representing interactions between users as part of an online community platform. In various implementations, a user of the online community platform indicates the desire to create a group comprising digital accounts which have interacted with the user as indicated by the digital communication data. In various implementations, a digital communication group is created comprising digital accounts specifically chosen by a user of an online community platform.