Auto-Summary Generator Filters Search Results
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Solution Overview
Problem
Current search engines often return overwhelming amounts of data, with initial words or titles being ambiguous, incomplete, or misleading, forcing users to scan through irrelevant information to find relevant data, leading to inefficiencies in information retrieval.
Innovation Solution
An automatic summary system that analyzes large datasets to filter out non-related material and present summarized data in a more manageable form, allowing users to focus on relevant information by determining user interests through profiles and context databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If search engines return comprehensive search results including document titles and first few words, then the quantity of information provided to users is increased, but the time required for users to process and evaluate the relevance of each result increases
Solution Approach 1:
The system performs preliminary summarization of search results before presenting them to users. The summarizer component automatically generates concise summaries of document contents in advance, allowing users to quickly assess relevance without reading entire documents or evaluating ambiguous titles and opening paragraphs.
Solution Approach 2:
The patent introduces an intermediary summarization layer between the search engine and the user. This intermediary component (summarizer) processes the raw search results and transforms them into condensed, meaningful summaries that facilitate faster user evaluation while preserving the comprehensive nature of search results.
2Loss of information
If search engines provide detailed document contents and full text previews, then the completeness of information is improved, but the complexity of data processing for users increases
Solution Approach 1:
The system segments document information into hierarchical levels: full documents, summarized versions, and key phrase extracts. This segmentation allows users to access complete information when needed while providing simplified summaries for routine browsing, reducing processing complexity without sacrificing information completeness.
Solution Approach 2:
The patent applies different levels of information density to different parts of the search result presentation. Summaries provide condensed information for quick scanning, while full documents remain accessible for detailed examination. This local quality variation optimizes the balance between information completeness and processing complexity.
3Measurement precision
If users manually scan through search results to determine relevance, then the accuracy of information selection is maintained, but the productivity of information retrieval decreases
Solution Approach 1:
The system performs self-service by automatically generating and presenting relevant summaries of search results without requiring manual scanning by users. The summarizer component autonomously processes documents and extracts meaningful content, enabling users to make accurate relevance judgments quickly based on pre-processed information.
Solution Approach 2:
The system performs preliminary analysis and summarization of search results before user interaction. This advance processing maintains accuracy by ensuring that summaries accurately reflect document contents, while simultaneously improving productivity by eliminating the need for users to manually scan through entire documents.
Data Source
AI summary
A system that facilitates data presentation and management includes at least one database to store a corpus of data relating to one or more topics. The system further includes a summarizer component to automatically determine a subset of the data over the corpus of data relating to at least one of the topic(s), wherein the subset forms a summary of at least one topic.