Digital Conversation Management via Hierarchical Topic Trees
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Solution Overview
Problem
Conventional software applications and websites struggle to effectively organize electronic messages in a meaningful way, leading to time-consuming and burdensome tasks for users as they often lump unrelated messages together, making it difficult to manage digital conversations.
Innovation Solution
A workflow organizing application that arranges digital conversations in a hierarchical tree structure on mobile devices, allowing users to search and display specific data, post new messages, and integrate conversations from various sources, while using natural language processing to predict and suggest relevant conversation threads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If electronic messages are organized chronologically by date/time, then messages received on a particular day are presented together, but unrelated messages are lumped together making it difficult to locate messages related to specific topics
Solution Approach 1:
The patent segments electronic messages into topic-based groups rather than presenting them as a single chronological stream. Each topic becomes a separate organizational unit, allowing users to locate messages related to specific subjects efficiently while maintaining chronological order within each topic group.
Solution Approach 2:
The patent introduces a new organizational dimension (topic/subject classification) in addition to the traditional chronological dimension. This multi-dimensional organization allows messages to be sorted by topic while preserving temporal context within each topic, solving the problem of locating topic-specific messages without losing chronological information.
2Productivity
If users manually locate each message related to a topic, then complete control over message organization is maintained, but the process becomes time-consuming and burdensome
Solution Approach 1:
The patent performs preliminary automated classification of messages into topic groups before the user needs to locate them. By pre-organizing messages by topic using automated analysis, the system eliminates the need for users to manually search through chronological streams, significantly reducing time spent while maintaining easy access to topic-specific content.
Solution Approach 2:
The system performs self-service by automatically analyzing and organizing messages into topic-based groups without requiring user intervention. The automated classification system handles the organization task itself, freeing users from the burdensome manual sorting process while still providing efficient access to related messages.
3Device complexity
If all electronic messages are presented in a single stream, then the system structure remains simple, but related content cannot be effectively grouped together
Solution Approach 1:
The patent segments the single message stream into multiple topic-based groups while maintaining a simple overall structure. Each topic group is a logical division that organizes related messages together, providing effective grouping without requiring complex hierarchical systems or multiple applications.
Solution Approach 2:
The patent implements a universal organizational framework that handles both chronological ordering and topic-based grouping within a single system. This multi-functional approach allows the same system to provide both time-based and subject-based organization, eliminating the need for separate systems while maintaining structural simplicity.
Data Source
AI summary
A method for workflow organization can be provided to manage digital conversations. Provisions for such method may be implemented in a system configured for contextually organizing digital conversations and viewing associated content. For each user, a tree of conversations which is specific to the user is constructed, while preserving context shared between users. The workflow management preferably includes provisions for appointments and attachments.