File Content Preview Tool for Rapid Information Retrieval
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Solution Overview
Problem
Users face difficulties in locating specific information within numerous electronic files, such as documents and web pages, due to the lack of apparent file content descriptions, leading to inefficiencies in information retrieval.
Innovation Solution
A file content preview tool that selects a file icon, determines a result-class associated with the selection, parses the file content using predefined rules, and provides relevant information in visual proximity to the file icon, allowing users to quickly scan for desired types of information without opening each file individually.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users open each file individually to locate desired information, then they can access the complete content, but it takes an undue amount of time and reduces productivity
Solution Approach 1:
The system performs preliminary parsing of file content and extraction of target results before the user needs to access the information. By pre-processing the files and preparing summaries or key information, the system enables users to quickly locate desired information without opening each file completely, thus reducing time loss and improving productivity.
Solution Approach 2:
The system extracts only the relevant portions of file content (target results) that match the user's search criteria, rather than requiring users to read through the entire file. This extraction approach allows users to quickly access specific information without the time cost of reviewing complete file contents.
2Reliability
If users review multiple files to find desired information, then they can comprehensive search, but it increases the complexity of the search process
Solution Approach 1:
The system introduces an intermediary layer between the user and the files - a search interface that automatically parses file content, identifies target results, and presents them in an organized manner. This intermediary simplifies the search process by handling the complexity of parsing and filtering, while maintaining comprehensive search capability across multiple files.
Solution Approach 2:
The system segments the file content into identifiable target results based on predefined rules or patterns. By dividing the content into discrete, searchable units, the system makes the search process more manageable and less complex, while still ensuring comprehensive coverage of all files.
3Ease of operation
If users manually search through file content, then they can locate specific information, but it requires significant user effort and time investment
Solution Approach 1:
The system performs self-service by automatically parsing file content, identifying target results, and presenting them to the user without requiring manual intervention. The system serves itself by extracting and organizing information, freeing users from the time-consuming manual search process while maintaining ease of operation through simple interface interactions.
Data Source
AI summary
A system may include a selection tool configured to determine a selection of a file icon that is displayed on a user interface and that represents a file associated with an application. The selection tool may be further configured to determine a result-class associated with the selection. A parser may be configured to determine one or more rules associated with the result-class, access content of the file by way of an application program interface associated with the application, and parse the content of the file for a target-result, based on the result-class and the one or more rules. Presentation logic may be configured to provide at least a portion of the target-result in visual proximity to the file icon within the user interface.