Message Extraction Unit for Content-Related Communication Recognition
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Solution Overview
Problem
Existing information processing systems struggle to effectively extract and display messages related to content selected by multiple users, making it difficult to recognize communication related to the content across multiple users.
Innovation Solution
An information processing system with a memory, content display, and message extraction unit that stores and displays multiple pieces of content and messages, allowing users to select content and extract related messages, which are then displayed alongside the content for better recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If only one message is extracted on a one-to-one correspondence basis with content, then the extraction is simple, but communication related to content performed by multiple users cannot be recognized
Solution Approach 1:
The patent segments the message extraction process into two independent filtering stages: first filtering by content reference (one-to-many correspondence), then filtering by attachment relationship. This segmentation allows the system to handle multiple messages related to the same content while maintaining simplicity through structured processing steps.
Solution Approach 2:
The patent transitions from a one-to-one correspondence model to a one-to-many correspondence model by adding a new dimension of message extraction. Instead of extracting only one message per content, the system extracts all messages that reference the content or have it attached, thereby capturing multi-user communication in a structured manner.
2Loss of information
If multiple messages related to content are extracted, then communication recognition is improved, but the extraction process becomes more complex
Solution Approach 1:
The patent divides the complex extraction task into two distinct filtering stages: first extracting messages that reference the content, then extracting messages that have the content attached. This segmentation reduces complexity by handling each filtering condition separately rather than simultaneously.
Solution Approach 2:
The patent employs partial action by extracting messages that satisfy at least one of the two conditions (reference or attachment) rather than requiring both. This partial extraction approach simplifies the processing logic while still capturing comprehensive communication data.
3Device complexity
If messages are displayed separately from content, then the display structure is simple, but user understanding of project communications is reduced
Solution Approach 1:
The patent merges the content display and message display into an integrated view where selected content is displayed alongside its related messages. This merging allows users to see both the content and communication context simultaneously, improving understanding without requiring separate display structures.
Solution Approach 2:
The patent uses the content item as an intermediary element that connects the content display and message display. When content is selected, it acts as a mediator to retrieve and display related messages, creating a cohesive display structure that enhances user understanding.
Data Source
AI summary
An information processing system includes a memory, a content display, an extraction unit, and a message display. The memory stores multiple pieces of content and multiple messages transmitted by multiple users. The content display displays the multiple pieces of content. The extraction unit extracts multiple messages from the memory if a user selects at least one piece of content of the multiple displayed pieces of content. The multiple extracted messages refer to the at least one piece of content or have the at least one piece of content attached to the multiple extracted messages. The message display displays the multiple messages extracted by the extraction unit.