Recipient-Aware Message Summaries Across Virtual Spaces
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Solution Overview
Problem
Conventional message notification techniques in communication platforms are suboptimal, leading to users spending excessive time identifying valuable content, especially when recipients are accessing different virtual spaces, resulting in disrupted user experience.
Innovation Solution
A communication platform utilizes machine-learning models to summarize messages, generating summaries that include relevant information for intended recipients, which are then displayed via user interfaces, even when the recipient is in a different virtual space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If message notifications are displayed to users accessing different virtual spaces, then users can be informed of important content, but users spend excessive time attempting to identify valuable contents
Solution Approach 1:
The patent extracts the essential and valuable content from the original message and presents it separately in the notification. This allows users to quickly identify important information without reading the entire message, thereby reducing time spent while maintaining information visibility.
Solution Approach 2:
The message content is segmented into different parts: a summary portion displayed in the notification and the full content accessible in the original virtual space. This segmentation allows users to efficiently scan for valuable content in the notification while preserving access to complete information when needed.
2Ease of operation
If conventional notification techniques are used, then implementation is simple, but user experience is disrupted due to excessive time required to identify valuable content
Solution Approach 1:
The system performs preliminary analysis of message content before displaying notifications, automatically generating summaries and identifying key information. This preliminary action prepares the content in advance, allowing users to immediately access valuable information without spending time searching through the original message.
3Loss of information
If full message content is displayed in notifications, then complete information is provided, but notification space is exceeded and user experience deteriorates
Solution Approach 1:
The patent extracts only the most valuable and relevant portions of the message content for display in the notification, leaving out less critical information. This extraction approach maintains information completeness for important details while adapting to the limited notification display area.
Solution Approach 2:
Different parts of the message content are treated differently: high-priority information is extracted and displayed prominently in the notification, while lower-priority content remains in the original virtual space. This local quality approach optimizes information distribution based on importance and space constraints.
Data Source
AI summary
Techniques for determining and/or displaying summarized messages are discussed herein. A user may post a message to a virtual space of a communication platform. That is, a user may send a message to one or more users via a virtual space. In such instances, the communication platform may identify the intended recipients of the message and input the message and the intended recipients into a machine-learning model to receive, as output from the machine-learning model, data indicative of a summarized representation of the message. The summary may include information that is relevant and/or important for the intended recipient user(s). Further, the summary may include a summary of the message, action items included in the message, recommendations, and/or any other information. In some examples, the communication platform may cause the summary to be displayed via a user interface of the recipient user.