Information Stream Summarization via Display Metric Grouping
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Solution Overview
Problem
Information overload from multiple electronic sources, such as social networking sites and content management systems, makes it difficult for users to efficiently review and locate relevant information due to high noise levels and dynamic updates, leading to the potential missed important or interesting content.
Innovation Solution
A system and method that calculates a display metric for each information stream item, groups them into summary objects, and sizes these objects based on their total display metric, allowing for a high-level summary and highlighting of potentially important information while maintaining user control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually review all information stream items from multiple sources, then they can locate relevant information, but the time required increases significantly
Solution Approach 1:
The patent extracts and highlights only the most relevant information items from the information stream based on calculated relevance metrics, rather than requiring users to review all items. This extraction approach maintains information location accuracy while significantly reducing review time by filtering out less important content.
Solution Approach 2:
The patent introduces an intermediary summarization layer that processes the information stream and presents a condensed overview to users. This intermediary structure acts as a mediator between the full information stream and user review, enabling efficient scanning while preserving the ability to locate relevant information through the summarization hierarchy.
2Quantity of substance
If users subscribe to multiple information feeds, then they receive more information, but feed overload occurs making it difficult to identify important items
Solution Approach 1:
The patent segments the information stream into hierarchical groups and categories, organizing numerous feed items into structured summaries. This segmentation approach maintains access to large volumes of information from multiple feeds while making the information manageable through organized groupings and relevance-based prioritization.
Solution Approach 2:
The patent applies local quality by providing different levels of detail and summarization for different portions of the information stream based on relevance metrics. High-relevance items receive more prominent display and detailed presentation, while lower-relevance items are summarized or grouped, making the overall information stream easier to navigate despite its volume.
3Ease of operation
If recommendation filters dynamically update information streams, then information overload is reduced, but valuable information can be lost when users navigate away and back
Solution Approach 1:
The patent performs preliminary summarization and relevance calculation for all information items before user interaction. This preliminary action creates a stable summary structure that persists across user navigation, ensuring that valuable information is pre-identified and preserved in the summary even when users navigate away and return to the information stream.
Data Source
AI summary
A system and method for generating an information stream summary using a display metric is provided. An information stream including a plurality of information stream items is received. A display metric is calculated for each of the plurality of information stream items. The information stream items are grouped into one or more summary objects. A size is assigned to each of the one or more summary objects and the one or more summary objects are displayed based on the assigned size.