Communication Platform Summaries Using User-Relevant ML Prioritization
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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 is 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 and space data, prioritizing content and spaces relevant to the user, and displays the summary via a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually access and view each individual virtual space to stay updated, then they can obtain complete information, but it becomes inefficient and time-consuming
Solution Approach 1:
The patent introduces a summarization component as an intermediary between the virtual spaces and the user. This component automatically generates summaries of content from multiple virtual spaces and presents them to the user, eliminating the need for manual access to each space while preserving information completeness.
Solution Approach 2:
The patent replaces the mechanical manual process of accessing and reading each virtual space with an automated summarization system using machine learning models. The system automatically retrieves, processes, and summarizes content, substituting human effort with automated intelligence.
2Loss of information
If users access a large volume of virtual spaces to identify valuable content, then they can find relevant information, but it requires excessive processing effort
Solution Approach 1:
The patent extracts only the valuable and relevant content from the large volume of virtual spaces using machine learning models. The summarization component identifies and extracts key information, presenting only what is valuable to the user rather than requiring them to process all content manually.
Solution Approach 2:
The patent changes the parameter of information presentation from raw, unprocessed content to summarized, processed content. The machine learning models transform the data by generating concise summaries that highlight important information, changing the state from voluminous raw data to refined information.
3Loss of information
If the system generates detailed summaries of all virtual spaces, then information completeness is maintained, but processing resources are consumed
Solution Approach 1:
The patent applies local quality by generating summaries with varying levels of detail based on the specific characteristics of each virtual space and its content. The machine learning models assess the importance and nature of different spaces, providing appropriately detailed summaries for each rather than uniform detailed summaries for all spaces.
Solution Approach 2:
The patent implements partial action by generating summaries that include only the most relevant and valuable content from each virtual space rather than attempting to summarize every detail. The system focuses on capturing essential information without exhaustive coverage of all content.
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.