Instant Messaging User Grouping via Message Content and Proximity Analysis
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Solution Overview
Problem
Instant-messaging systems lack the ability to effectively identify and group users based on shared characteristics or physical proximity, such as common locations, activities, or characteristics, which limits user interaction and information sharing.
Innovation Solution
The system analyzes electronic messages for common content among users and detects physical proximity using GPS signals or message data, providing visual or audible indications of shared characteristics or locations, and groups users accordingly within the instant-messaging interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system analyzes electronic messages for common content among users, then user interaction and information sharing are enhanced, but system complexity and processing time increase
Solution Approach 1:
The system pre-processes and stores away messages and user characteristics in a database before they are needed for matching. This preliminary action allows the system to quickly retrieve and compare pre-analyzed content rather than analyzing all messages in real-time, reducing processing complexity while maintaining enhanced user interaction capabilities
Solution Approach 2:
The patent introduces an intermediary component (the server system with database) that mediates between users and their messages. This intermediary pre-processes, stores, and manages user characteristics and away messages, allowing the matching function to operate on structured data rather than raw messages, thereby reducing system complexity while improving adaptability
2Loss of information
If the system automatically identifies and groups users with shared characteristics, then information sharing improves, but loss of time for processing increases
Solution Approach 1:
User characteristics and away messages are pre-analyzed and stored in the database before matching is needed. This preliminary processing eliminates the need for real-time analysis during user matching, significantly reducing processing time while maintaining complete information sharing capabilities
Solution Approach 2:
The system automatically performs the matching and grouping of users based on their stored characteristics without requiring manual intervention. This self-service approach continuously processes and updates user groupings in the background, minimizing the time users wait for information sharing while maintaining comprehensive data analysis
Data Source
AI summary
Displaying electronic information in an instant-messaging application includes accessing a first electronic message providing information describing a first user that has an identifier included in a set of identifiers of users of an instant messaging application. A second electronic message providing information describing a second user that has an identifier included in the set of identifiers of users of an instant messaging application is accessed. Content contained within the first and second messages is analyzed to determine that at least a portion of content is common to the first and second electronic messages. Based upon the content analysis, an indication that the first and second messages include common content is provided to the user. Alternatively or additionally, an indication that two users are in physical proximity to a geographic location may be provided in response to detecting that the two users are within a threshold distance from the geographic location.