Virtual Space Summaries for Unread Content Catch-Up
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Solution Overview
Problem
Conventional techniques for users to catch up on recently posted content across multiple virtual spaces are inefficient and time-consuming, requiring manual access to each space, which can be disruptive and resource-intensive.
Innovation Solution
A communication platform utilizes machine-learning models to generate a summary of recently posted content across multiple virtual spaces based on user activity data, determining when to create a summary based on unread content thresholds, and displays it via a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually access each virtual space to catch up on content, then they can view all posted content, but it consumes excessive time and is inefficient
Solution Approach 1:
The patent extracts the essential information from multiple virtual spaces by generating AI-powered summaries that capture key discussions, decisions, and updates. Instead of requiring users to view all content in each space, the system extracts and presents only the most relevant information, significantly reducing time consumption while maintaining content coverage.
Solution Approach 2:
The patent introduces an intermediary AI summarization system that acts as a mediator between the virtual spaces and users. This intermediary automatically generates summaries of discussions across multiple spaces, allowing users to catch up on content efficiently without manually accessing each space, thus resolving the contradiction between comprehensive content viewing and time efficiency.
2Reliability
If users access multiple virtual spaces to stay updated, then they maintain understanding of discussions, but it is disruptive and resource-intensive
Solution Approach 1:
The system extracts key discussions and important updates from multiple virtual spaces into consolidated summaries, allowing users to maintain accurate understanding of ongoing discussions without the disruption of manually navigating through each space. This extraction process preserves understanding accuracy while dramatically improving operational convenience.
3Loss of information
If users manually review content in each virtual space, then they identify valuable information, but it is time-consuming and inefficient
Solution Approach 1:
The patent implements a self-service AI summarization system that automatically identifies and extracts valuable information from virtual space discussions without requiring manual user intervention. The system autonomously generates summaries, identifies key decisions, and presents relevant information, thereby maintaining information identification quality while significantly improving user productivity and efficiency.
Data Source
AI summary
Techniques for generating and displaying a summary of multiple virtual spaces are discussed herein. A communication platform may determine whether to generate a summary of the content posted across a set of virtual spaces. For instance, the communication platform can identify a set of virtual spaces that the user is a member of. For a pre-determined period, the communication platform can determine a first number of content items posted to the set of virtual spaces. The communication platform may also determine, over the same period, a second number indicating the number of the content items the user has yet to view. Based on the second number meeting or exceeding a threshold, the communication platform may generate a summary for the user. Accordingly, the communication platform may generate a summary of the content posted to the set of virtual spaces and display the summary via a user interface of the user.