Automated Chatroom Creation via Condition-Based User Matching
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Solution Overview
Problem
Existing chatroom creation methods lack automation in selecting and inviting users based on specific conditions, leading to inefficient user grouping and content sharing.
Innovation Solution
A method and system for automatically creating a chatroom by registering chatroom creation conditions, retrieving matching accounts, and inviting them through a bot, using criteria such as location information, user profiles, and user numbers, allowing for targeted user grouping and content sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user selection and invitation methods are used for chatroom creation, then user control and customization are improved, but automation and efficiency deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-defining chatroom creation conditions (user profiles, location information, interests) before actual chatroom formation. This allows automatic matching and invitation of users who meet the criteria, resolving the contradiction by enabling automation while maintaining user control through pre-set parameters.
Solution Approach 2:
The system enables self-service by allowing users to automatically join chatrooms that match their profiles and preferences without manual intervention. The automatic invitation system sends invitations to matching users, who can join independently, thus improving automation while maintaining user autonomy.
2Productivity
If automatic chatroom creation based on conditions is implemented, then productivity and efficiency are improved, but system complexity increases
Solution Approach 1:
The system segments the chatroom creation process into distinct modules: condition definition, user profile matching, automatic invitation sending, and chatroom formation. This segmentation improves productivity by enabling parallel processing while managing complexity through modular design, where each module handles a specific function independently.
Solution Approach 2:
The system implements multi-functionality by using a unified condition-matching mechanism that handles multiple chatroom creation scenarios (based on location, interests, profession, etc.) through a single automated framework. This universal approach improves productivity across different use cases while avoiding the complexity of separate systems for each scenario.
3Manufacturing precision
If multiple matching criteria are used for user selection, then user grouping precision is improved, but retrieval complexity increases
Solution Approach 1:
The system performs preliminary action by pre-collecting and structuring user profile information (interests, location, profession, demographics) before the matching process. This preprocessing enables precise multi-criteria matching while simplifying retrieval complexity, as the data is already organized and ready for comparison against chatroom conditions.
Solution Approach 2:
The system replaces manual mechanical matching processes with automated computational algorithms that efficiently evaluate multiple criteria simultaneously. This substitution improves user grouping precision through comprehensive multi-criteria evaluation while reducing retrieval complexity by using automated data processing instead of manual assessment.
Data Source
AI summary
Disclosed is a method, system, and non-transitory computer-readable record medium for creating a chatroom according to a condition. The chatroom creation method may include providing an instant messaging service; registering a chatroom creation condition related to a specific account of the instant messaging service; retrieving at least one account of accounts of the instant messaging service that meets the chatroom creation condition; and automatically creating a chatroom of the specific account joined by the retrieved accounts.