Abstractive Chat Summary Interface for Fast Context Catch-Up

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Solution Overview

Problem

Group chats and collaborative knowledge base environments generate overwhelming volumes of information, making it difficult for users to navigate and quickly grasp context, especially for new participants.

Innovation Solution

A communication channel extraction and summary server system that uses natural language processing and text summarization machine learning models to generate abstractive summaries for multi-party communication channels, providing low-latency context summaries to users upon joining or rejoining.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If users navigate through all communication data objects in multi-party channels, then they can understand the full context, but the time and computational resources required increase significantly

Engineering Contradiction:

Improvecontext understandingVSAvoidnavigation time

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system extracts essential context information from multiple communication data objects and presents it as a consolidated summary. The summary generation interface selectively extracts key points, decisions, and relevant information from chat messages, file shares, and other communication artifacts, allowing users to understand context without navigating through all original data.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The communication channel data is segmented into manageable units (communication data objects) that can be individually processed and summarized. The system divides the overwhelming volume of communications into discrete, summarizable segments, then reassembles them into a coherent summary that preserves essential context.

Inventive Principle:

Principle #1Segmentation

2Loss of information

If the system generates comprehensive summaries of all communication data, then context understanding improves, but computational expense increases

Engineering Contradiction:

Improvecontext retentionVSAvoidcomputational expense

Core Design Contradiction:

Loss of informationVSUse of energy by moving object

Solution Approach 1:

The system generates summaries that capture essential context without processing every single communication data object in exhaustive detail. The summary generation interface applies partial action by selectively summarizing only the most relevant communication objects based on their importance, timing, and contribution to overall context, rather than uniformly processing all data.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system changes parameters of the summarization process dynamically, adjusting summary depth, detail level, and scope based on the specific communication channel, user needs, and data characteristics. This allows the system to optimize computational resources while maintaining adequate context retention for different scenarios.

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If the system processes all communication data objects, then summary accuracy improves, but the complexity of the system increases

Engineering Contradiction:

Improvesummary accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The summary generation interface acts as an intermediary layer between the raw communication data objects and the user. This intermediary processes, filters, and transforms the complex communication data into simplified summaries, reducing the apparent system complexity while maintaining accuracy through structured processing pipelines and standardized summary templates.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Reliability

If users view detailed communication data, then they can assess information quality, but the ease of operation decreases due to overwhelming volume

Engineering Contradiction:

Improveinformation quality assessmentVSAvoidnavigation ease

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system extracts and highlights key information quality indicators within the summary, such as important decisions, action items, and critical communications. This allows users to assess information quality without examining every detailed communication object, maintaining reliability while improving ease of operation.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS12505292B2Apparatuses, methods, and computer program products for generating an abstractive context summary scheduling interface configured for scheduling and outputting abstractive context summaries for multi-party communication channels

Publication Date: 2025.12.23 ATLASSIAN US INC

AI summary

Methods, apparatuses, or computer program products provide for enabling generation of abstractive context summaries for multi-party communication channels. An abstractive context summary scheduling interface associated with a selected multi-party communication channel may be caused to be rendered to a client computing device associated with a member profile identifier. A summary generation parameter set may be received in response to user engagement with the abstractive context summary scheduling interface. A plurality of communication data objects from the selected multi-party communication channel may be extracted based on the summary generation parameter set. An abstractive context summary for the selected multi-party communication channel may be generated based on the plurality of communication data objects and utilizing a text summarization machine learning model. The abstractive context summary may be caused to be rendered for display on the client computing device associated with the member profile identifier.