Visual Search Result Presentation Using Cognitive Pattern Recognition
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Solution Overview
Problem
Current document search methods are inefficient due to the prevalence of similar or identical documents, leading to time-consuming keyword searches that often yield numerous irrelevant results.
Innovation Solution
The proposed solution involves a visual presentation method that utilizes a tree structure view and scaled common image format (CIF) to display search results, allowing for cognitive pattern recognition by highlighting search text within documents and providing visual distinctions to quickly identify relevant pages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If keyword search is used to find documents, then search capability is provided, but time consumption increases and search efficiency decreases due to numerous similar or identical documents
Solution Approach 1:
The patent creates visual thumbnails or preview copies of document contents that display key information and search matches. These visual copies allow users to quickly scan and identify relevant documents without opening each full document, thereby reducing time consumption while maintaining search capability.
Solution Approach 2:
The patent applies visual highlighting or color coding to mark search matches within document previews or thumbnails. This visual differentiation enables rapid identification of documents containing the search term, significantly improving search efficiency and reducing the time needed to locate relevant documents among many similar ones.
2Reliability
If keyword search returns all documents containing the keyword, then comprehensive search results are provided, but the quantity of results becomes unmanageably large and difficult to navigate
Solution Approach 1:
The patent segments the large set of search results into manageable visual groups or grids of thumbnails. Each thumbnail represents one or more documents with visual indicators of search matches. This segmentation maintains the completeness of search results while reducing the perceived complexity and making navigation feasible.
Solution Approach 2:
The patent transitions from a traditional linear or hierarchical text-based result list to a two-dimensional visual grid layout of document thumbnails. This dimensional change allows users to scan multiple results simultaneously and provides better spatial organization, reducing the complexity of navigating through large numbers of results while maintaining result completeness.
Data Source
AI summary
The present disclosure discloses using a computer or handheld device for inputting a keyword for searching, wherein the keyword is associated with a location within a page of a document on which the keyword will appear; inputting the location associated with the keyword, wherein the location is one of the following: a left top quadrant of a page of the document, a right top quadrant of the page, a left bottom quadrant of the page, a right bottom quadrant of the page, a top section of the page divided into three vertical sections, a middle section of the page divided into three vertical sections, or a bottom section of the page divided into three vertical sections; configuring a processor to use cognitive pattern recognition for identifying documents in a repository that contain the keyword in the location; and generating a search result which includes the one or more documents.