Topic-Based Conversation Retrieval Across Communication Modes
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Solution Overview
Problem
Current communication methods in the workplace are inadequate for recording and retrieving collaborative conversations across multiple channels and platforms, leading to time-consuming and frustrating manual searches for specific discussions.
Innovation Solution
A method and system for topic-based conversation retrieval that analyzes conversations across different communication modes, allowing users to retrieve relevant discussions based on topics, users, or time frames, using a processor to determine topics and index metadata for efficient retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually review individual histories in each separate communication mode, then they can retrieve specific discussions, but the process becomes time-consuming and frustrating
Solution Approach 1:
The patent merges multiple communication mode histories into a unified retrieval system. The system collects conversation data from different communication modes (email, chat, messaging services) and combines them into a single searchable index, allowing users to retrieve discussions across all modes simultaneously rather than manually checking each mode separately.
Solution Approach 2:
The patent introduces an intermediary indexing system that sits between multiple communication modes and the user. This intermediary layer automatically processes, indexes, and stores metadata from various communication sources, enabling efficient retrieval without users needing to access each communication mode directly.
2Loss of information
If users compile discussions across all communication modes, then they get complete information, but the complexity of managing multiple communication modes increases
Solution Approach 1:
The patent creates a universal retrieval system that handles multiple communication modes through a single interface. The system is designed to work with various communication platforms (email services, chat services, messaging services) using a common indexing and retrieval mechanism, reducing the complexity users would face in managing each mode separately.
Solution Approach 2:
The system performs automatic indexing and metadata extraction from communication modes without requiring user intervention. The patent implements self-service functionality where the system automatically processes incoming communications, extracts relevant metadata, and maintains the index, eliminating the need for users to manually organize or manage the complexity of multiple communication modes.
3Adaptability or versatility
If users search for conversations on multiple topics across different platforms, then they find relevant discussions, but the manual effort and time required increases significantly
Solution Approach 1:
The patent implements preliminary action by pre-indexing communications from multiple modes and topics before users need to search. The system continuously processes and indexes incoming communications across different platforms and topics, so when users perform a search, the data is already organized and ready for rapid retrieval, eliminating the need for manual searching across multiple platforms.
Solution Approach 2:
The patent adds another dimension to the search system by introducing a unified indexing layer that operates above individual communication modes. This dimensional change allows users to search across multiple topics and platforms simultaneously through a single interface, transforming the search process from multiple separate operations into one integrated operation.
Data Source
AI summary
A topic based conversation retrieval system and method may include receiving a first conversation between a first plurality of users a second conversation between the first plurality of users or a second plurality of users, the second conversation being conducted on a second communication mode different than the first communication mode, analyzing the first conversation and the second conversation, determining one or more topics of discussion in the first conversation and the second conversation, and retrieving a portion of each of the first conversation and the second conversation, where the portion is related to a topic chosen to be retrieved.