Topic-Based Message Grouping in Chat Interfaces
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Solution Overview
Problem
Conventional communication programs struggle to effectively organize and display messages related to different topics within a single conversation, making it difficult for users to follow specific topic threads due to the presence of irrelevant messages and the inability to differentiate between topics.
Innovation Solution
A computing system, referred to as a controller, uses natural language processing (NLP) techniques, timestamp analysis, and user traits to identify and categorize messages by topic, allowing related messages to be displayed adjacent each other within a graphical user interface (GUI) window.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If messages are displayed in chronological order within a single GUI window, then the communication program can display all messages in a conversation, but users struggle to follow specific topic threads due to the presence of irrelevant messages from different topics
Solution Approach 1:
The patent segments the message display by creating separate GUI windows for different topics. Each topic receives its own dedicated window, allowing users to follow specific topic threads without interference from irrelevant messages. This segmentation resolves the contradiction by isolating relevant messages within their respective topic windows while maintaining chronological order within each window.
Solution Approach 2:
The patent extracts messages from the unified chronological stream and separates them into different topic-specific windows. By taking out messages belonging to different topics from the main conversation flow and placing them in separate windows, the system eliminates irrelevant messages from interfering with topic tracking while preserving the complete conversation history.
2Device complexity
If a single GUI window displays all messages in chronological order, then the system maintains simple message display, but the complexity of organizing and differentiating between multiple topics increases
Solution Approach 1:
The patent applies segmentation by dividing the single GUI window into multiple topic-specific windows. Each window handles a specific topic, simplifying the display within each window while organizing the overall system through hierarchical window management. This resolves the contradiction by maintaining simplicity within individual topic views while providing clear topic differentiation through separate windows.
3Loss of time
If the system displays all messages in chronological order, then it maintains the order of events, but users must manually filter through irrelevant messages to find topic-related content
Solution Approach 1:
The patent performs preliminary action by automatically organizing messages into topic-specific windows before users need to read them. The system analyzes message content, identifies topics, and pre-sorts messages into appropriate windows, eliminating the need for users to manually filter through irrelevant messages. This resolves the contradiction by saving time through automatic organization while eliminating manual filtering requirements.
Data Source
AI summary
A text conversation between at least two users is monitored. A first regarding a first topic is detected. A second message received subsequent to the first message regarding a second topic is detected. A third message received subsequent to the second message regarding the first topic is detected. In response to detecting that the third message regards the first topic of the first message, the third message may be displayed immediately adjacent the first message.