Visual Topic Structural Diagram for Instant Messaging Context

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Solution Overview

Problem

Instant messaging systems lack the ability to effectively convey context relationships and structural information, making it difficult for users to follow discussions and summarize main points, especially in multi-user conversations where topics become mixed.

Innovation Solution

The method involves inputting instant messages with semantic tags, constructing a visual topic structural diagram based on these tags, and displaying it to users, allowing for a clear representation of conversation context and facilitating focused discussion and summary.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If instant messages are arranged in time sequence, then the conversation history is reflected, but the context relationships and structural information are lost

Engineering Contradiction:
Improvecontext relationshipsVSAvoidmessage arrangement structure
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent transforms the one-dimensional time-sequence arrangement into a two-dimensional tree-structure with visual tags. Messages are organized not only chronologically but also hierarchically by topic and semantic relationship, adding a structural dimension that preserves context without requiring complex multi-dimensional data structures.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent introduces visual tags as intermediaries between messages and users. These tags categorize messages by semantic meaning (question, answer, topic, etc.) and create visual connections that mediate the relationship between scattered messages and user understanding, making context relationships explicit without restructuring the entire message system.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of information

If all user instant messages are mixed together, then simultaneous conversation is supported, but it becomes hard to identify discussion partners and topics

Engineering Contradiction:
Improvediscussion contextVSAvoidtopic identification
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The patent segments the mixed conversation stream into distinct topic branches using visual tags. Each tag categorizes messages by subject matter, allowing users to mentally or visually separate different discussion threads from the mixed conversation flow, making it easier to identify which messages belong to which topic and participant.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent uses different visual tags (potentially with distinct colors or symbols) to mark different message types and topics. This visual differentiation helps users quickly identify discussion partners and topics by the appearance of tags rather than reading through unstructured text, improving ease of topic identification.

Inventive Principle:
Principle #32Color changes

3Loss of information

If simple visualized marks are added to conversation contents, then the object of conversion is reflected, but structural information and main points cannot be summarized

Engineering Contradiction:
Improvestructural informationVSAvoidvisual tagging system
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments the visual tagging system into hierarchical levels: message-level tags (question, answer), topic-level tags (subject categories), and structure-level tags (parent-child relationships). This segmentation allows the system to provide structural information at multiple granularities without requiring a single complex tagging mechanism.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent designs visual tags to serve multiple functions simultaneously: categorizing message type, indicating topic, showing hierarchical relationships, and enabling summary generation. This multi-functionality reduces the need for separate systems for each purpose, managing complexity while providing comprehensive structural information.

Inventive Principle:
Principle #6Universality (Multi-functionality)

4Productivity

If linear log arrangement is used, then implementation is simple, but users cannot direct discussion or summarize main points effectively

Engineering Contradiction:
Improvediscussion efficiencyVSAvoidmessage organization system
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent adds a hierarchical dimension to the linear log by organizing messages into topic trees with visual tags. This allows the system to maintain simple linear storage while providing tree-structured views for improved discussion efficiency, separating the simplicity of implementation from the complexity of organization.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS8645469B2Method, apparatus and computer program product for constructing topic structure in instance message meeting
Publication Date: 2014.02.04 AIRBNB INC
  • US8645469B2 patent drawing
  • US8645469B2 patent drawing
  • US8645469B2 patent drawing

AI summary

An instant messaging communication method, computer program product and apparatus. The instant messaging communication apparatus includes input means for inputting an instant message and a semantic tag for the instant message; a network module for transmitting the input instant message and semantic tag and receiving an instant message with a semantic tag; construction means for constructing a visual topic structural diagram of the transmitted and received instant messages according to the semantic tag; and display means for displaying the visual topic structural diagram. An embodiment of the communication apparatus provides structured guidance to the user's discussion, directs the user to make pertinent announcement and enables the user to easily sum up the main points of the discussion from the log through a visualized topic structural diagram.