Highlight View for Electronic Interactions
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Solution Overview
Problem
Existing systems for managing electronic interactions in large groups or communities struggle to filter out irrelevant data and present relevant information in a comprehensible manner, making it difficult for users to efficiently understand and engage with conversation threads.
Innovation Solution
A system and method that generates a highlight view of electronic interactions, including emails and conversation threads, by analyzing relevance based on traffic, keywords, and user preferences, using collaborative filtering to personalize the content and remove extraneous information, and presenting a linear progression of conversation threads with signal words for improved comprehension.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all electronic interaction content is replicated and distributed to users, then users receive complete information, but the system becomes difficult to manage for large groups and the information becomes hard to filter for relevance
Solution Approach 1:
The patent extracts only the most relevant information from electronic interactions using automated analysis. The system identifies key topics, important messages, and relevant participants, presenting a curated subset rather than replicating all content. This resolves the contradiction by maintaining information quality without the burden of managing complete content replication.
Solution Approach 2:
The system changes the parameter of information presentation from complete replication to selective highlighting. By analyzing engagement metrics, topic relevance, and user preferences, the system transforms the information set to prioritize what matters most, reducing management complexity while preserving essential information.
2Loss of information
If all electronic interaction content is distributed to users, then users have access to complete data, but relevant data becomes difficult to discern from irrelevant information
Solution Approach 1:
The system extracts and highlights only relevant information from the mass of electronic interactions. Automated analysis identifies key topics, important messages, and relevant participants, presenting a curated subset that makes relevant data easily discernible without losing essential information completeness.
Solution Approach 2:
The patent segments electronic interactions into organized categories such as topics, participants, and message types. This segmentation allows users to navigate and find relevant information efficiently by browsing organized sections rather than searching through undifferentiated content.
3Loss of information
If notification systems propagate all posted content to group members, then users receive complete information, but the system becomes difficult to manage for large groups
Solution Approach 1:
Instead of propagating all posted content, the system extracts and highlights only the most relevant information using automated analysis. This reduces the burden of managing large groups by eliminating the need to handle and distribute complete content while preserving essential information.
Solution Approach 2:
The system changes the information distribution parameter from complete replication to selective highlighting based on relevance analysis. This parameter change reduces management complexity for large groups while maintaining access to complete information when needed.
4Loss of information
If syndicated systems upload all recent content to subscribers, then users have access to complete data, but the systems can be difficult to manage for large quantities of content
Solution Approach 1:
The system extracts only the most relevant content from recent postings using automated analysis. By identifying key topics, important messages, and relevant participants, it presents a curated subset that reduces content management complexity while preserving access to complete information when needed.
Solution Approach 2:
The patent changes the content upload parameter from complete replication to selective highlighting based on relevance metrics. This parameter transformation reduces the complexity of managing large quantities of content while maintaining information completeness for users who need it.
Data Source
AI summary
A system and method for generating a highlight view of electronic interactions, such as, emails, instant messages, audio messages and/or video messages is provided. The highlight view can facilitate a user's understanding of the electronic interactions.The electronic interactions can comprise emails associated with conversation threads of a discussion list posted and/or received by a plurality of users. The highlight view system can include, for a given period of time, a list of participants in the discussion list, a list of conversation threads and/or a linear progression of one or more of the conversation threads. The linear progression of one or more conversation threads can include signal word(s), such as, “stated, “asked”, “responded”, “wrapped up”, “disagreed”, “agreed” etc. that facilitate a user's comprehension of the individual e-mails which form the conversation thread.An electronic interactions highlight system can include an input component that receives electronic interactions (e.g., emails associated with conversation thread(s) of a discussion list) and an analysis component that analyzes the electronic interactions and automatically generates a highlight view of the electronic interactions.