Categorized Data Presentation for Efficient Storage Cleaning
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Solution Overview
Problem
The presentation of to-be-cleaned data in electronic devices lacks regularity, leading to user confusion and inefficiency in processing, as it is typically presented in a random order without categorization, potentially resulting in mistaken deletions.
Innovation Solution
A method and apparatus that identify and categorize to-be-cleaned files and folders based on feature information, such as creation time and data size, and present them in a centralized manner according to these categories, ensuring a structured order for user processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If to-be-cleaned data is presented in a determined order without categorization, then the presentation process is simple, but user efficiency decreases and mistakes increase
Solution Approach 1:
The patent segments to-be-cleaned data into different categories (e.g., application data, system data, user data) based on feature information analysis. This segmentation allows users to process data more efficiently by category rather than dealing with a random mix, directly improving user efficiency while adding structured complexity to the presentation system.
Solution Approach 2:
The patent applies different presentation qualities to different data categories. Each category can be presented with specific characteristics (such as grouping, sorting criteria, or visual indicators) tailored to its nature, improving overall user efficiency by providing appropriate presentation styles for different data types without requiring complete system redesign.
2Productivity
If to-be-cleaned data is categorized and presented in a structured order, then user efficiency improves, but the presentation system becomes more complex
Solution Approach 1:
The patent performs preliminary categorization of to-be-cleaned data based on feature information (such as file type, creation time, size, or application association) before presenting it to users. This preliminary action organizes data into meaningful categories, improving processing effectiveness by allowing users to make informed deletion decisions without requiring complex real-time analysis during the cleaning process.
Solution Approach 2:
The patent changes the presentation parameters of to-be-cleaned data by organizing them according to multiple dimensions such as category type, creation time, file size, or application source. These parameter-based organization methods improve productivity by enabling users to quickly identify and process specific types of data, while the complexity is managed through systematic parameter selection rather than ad-hoc organization.
3Reliability
If to-be-cleaned data is presented without categorization, then the system is simpler to implement, but user mistakes increase due to lack of presentation regularity
Solution Approach 1:
By segmenting to-be-cleaned data into distinct categories based on feature information, the patent improves reliability of user deletion decisions. Users can clearly distinguish between different types of data (such as safe-to-delete system files versus important user files), reducing mistaken deletions while the segmentation logic remains systematic and manageable.
Solution Approach 2:
The patent provides feedback to users through the categorized presentation by showing them what each category represents and what data falls into each category. This feedback mechanism helps users understand the implications of their deletion choices, improving decision accuracy while the feedback is delivered through the structured category labels and groupings already implemented in the presentation system.
Data Source
AI summary
Embodiments of the present application disclose a method, an apparatus and an electronic device for presenting to-be-cleaned data. The method comprises: after identifying the to-be-cleaned data comprising to-be-cleaned files and to-be-cleaned folders in storage space of the electronic device, determining first-type feature information of the to-be-cleaned files and second-type feature information of the to-be-cleaned folders are (S101); determining data categories of the to-be-cleaned files based on the obtained first-type feature information of the to-be-cleaned files (S102); determining data categories of the to-be-cleaned folders based on the obtained second-type feature information of the to-be-cleaned folders (S103); presenting the to-be-cleaned files and the to-be-cleaned folders in accordance with an order set based on data categories and with a rule of presenting to-be-cleaned data of a same data category in a centralized manner (S104). The effectiveness of processing the to-be-cleaned data by a user can be improved.