Document Search Interface With Dynamic Type and Hit Count Updates
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Solution Overview
Problem
Existing document processing systems fail to dynamically show how search results change with category selection and search condition adjustments, making them less user-friendly.
Innovation Solution
A document processing system that classifies document information into types and displays a list of search keywords with hit counts, allowing dynamic output of search result changes based on type and keyword selections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system presents a category name representing the largest cluster and causes the user to select whether the category is desired, then the search results are narrowed down efficiently, but the user cannot dynamically check how search results change when category is selected or when search condition is changed
Solution Approach 1:
The patent applies dynamics by transforming the static search interface into a dynamic one that automatically updates search results and category presentations in real-time. The system dynamically adjusts the display of category names and search results based on user interactions without requiring manual page reloads or system restarts, enabling users to freely check how results change when categories are selected or search conditions are modified.
Solution Approach 2:
The patent implements feedback by providing immediate visual updates to users when they interact with the search interface. When users select different categories or modify search conditions, the system instantly feeds back the updated search results and recalculated category presentations, allowing users to dynamically evaluate different search scenarios and make informed decisions about their search strategy.
2Measurement precision
If the system requires user selection to narrow down search results by category, then the search precision is improved, but the user interaction becomes more complex and less intuitive
Solution Approach 1:
The patent applies preliminary action by pre-calculating and pre-presenting category names representing the largest clusters of search results before user selection. The system proactively organizes and displays the most relevant categories with their associated document counts, enabling users to quickly identify and select desired categories without having to manually analyze or sort through all possible categories, thus simplifying the interaction while maintaining precision.
Data Source
AI summary
A document processing method comprising: outputting information for displaying a search keyword input field for searching for, based on an input search keyword, document information stored in a storage unit, a type display region for selectably displaying (i.e., displaying in a selectable manner) a type decided based on the content of the document information, and a search keyword display region for displaying a search keyword based on a search history of the document information together with a number of search results of the document information searched for by the search keyword.