Automatic Junk File Identification via Attribute Matching
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Solution Overview
Problem
The existing manual method for identifying junk files on smart terminal devices is inefficient and costly, leading to incomplete clearance and decreased device performance.
Innovation Solution
A method and device that automatically identify junk files by acquiring attribute information of application files through static and dynamic analysis, matching it with preset junk file identification rules, and recognizing files as junk based on predefined criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual identification method is used, then identification accuracy can be maintained through human judgment, but identification efficiency is low and time consumption is high
Solution Approach 1:
The system enables automatic identification of junk files through self-service mechanisms. The analysis module automatically analyzes application files, and the identification module automatically compares file attributes with preset rules to identify junk files without requiring continuous human intervention, thereby significantly improving identification efficiency and reducing time consumption.
Solution Approach 2:
The patent replaces the manual mechanical identification process with an automated electronic system. The analysis module and identification module work together to automatically analyze files, extract attributes, compare them with preset rules, and identify junk files, substituting human manual operations with automated computational processes that are faster and more efficient.
2Reliability
If manual identification method is used, then complex judgment can be performed, but identification cost is high and completeness is poor
Solution Approach 1:
The identification system is segmented into distinct functional modules: an analysis module that extracts file attributes, and an identification module that compares attributes with preset rules. This segmentation allows each module to specialize in specific tasks, improving identification completeness while managing system complexity through modular design.
Solution Approach 2:
The patent introduces preset junk file identification rules as an intermediary between the analysis module and the final identification result. These rules serve as a standardized criterion that the analysis module uses to objectively determine whether files are junk files, improving identification completeness and consistency without requiring complex human judgment for each file.
3Productivity
If automatic identification is implemented, then efficiency is improved and cost is reduced, but requires development of analysis module and preset rules
Solution Approach 1:
The patent employs preliminary action by establishing preset junk file identification rules before the actual identification process begins. These pre-defined rules contain common patterns and characteristics of junk files, allowing the system to efficiently identify junk files without requiring complex real-time analysis, thereby reducing development complexity while maintaining high efficiency.
Data Source
AI summary
A computer-implemented method and device for automatically identifying a junk file are provided. The method for automatically identifying a junk file includes: acquiring an application to be identified; analyzing the application so as to acquire attribute information of a file generated by the application; matching the attribute information of the file and a preset junk file identification rule; and identifying the file as a junk file if the attribute information of the file is matched with the preset junk file identification rule.