Plug-in Category Management Based on User Grades
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Solution Overview
Problem
Existing browser plug-in management systems lack a standardized method to differentiate between useful and malicious plug-ins, often leading to the unintentional removal of useful plug-ins, as users can only determine their usefulness after installation.
Innovation Solution
A method and computing device that assign plug-ins into categories based on user-provided grades, displaying operation indications and recommended actions such as activation, prohibition, or deletion based on their category, allowing users to manage plug-ins effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a uniform standard is used to clean away plug-ins with low grades, then malicious plug-ins can be removed, but useful plug-ins may also be cleaned away
Solution Approach 1:
The patent segments plug-in management into multiple categories (first category for recommended retention, second category for recommended removal, third category for neutral handling) based on grade thresholds. This segmentation allows differentiated handling of plug-ins, preventing useful ones from being removed while still eliminating malicious ones, thus resolving the contradiction between safety and utility.
2Measurement precision
If users manually evaluate each plug-in after installation, then useful plug-ins can be identified, but users may not be able to determine usefulness in advance
Solution Approach 1:
The patent provides operation indications before users actually remove or keep plug-ins. By presenting recommended operations (retain or remove) based on automated grade evaluation, users can make informed decisions in advance without manual evaluation, saving time while maintaining accuracy through the graded assessment system.
3Reliability
If plug-ins are removed to eliminate malicious ones, then browser security is improved, but re-installation is required when plug-ins are needed
Solution Approach 1:
The patent implements a feedback mechanism where users can view operation indications and recommended operations for each plug-in based on its grade. This feedback allows users to make informed decisions about whether to remove or retain plug-ins, and if useful plug-ins are removed, users can easily re-install them through the same evaluation system, reducing the inconvenience of re-installation.
Data Source
AI summary
Disclosed is a method for processing data, which includes: obtaining grade of a plug-in; assigning the plug-in into one of a plurality of categories according to the grade of the plug-in; and displaying at least one operation indication and recommended operation information based on the category the plug-in belongs to. A computing device for processing data is also disclosed.