Usage Mode-Based Application Recommendation System
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Solution Overview
Problem
Current methods for recommending applications on terminal devices based on download amounts fail to accurately match applications with usage modes, leading to inefficient energy consumption and operational smoothness issues due to mismatched operation parameters.
Innovation Solution
A method and apparatus that involve a server gathering mode identification and application usage information from terminal devices to determine applications meeting specific conditions for each usage mode, ensuring accurate recommendations and adjusting operation parameters to match software usage scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If applications are recommended based on download amounts, then the recommendation process is simple, but the accuracy of matching applications with usage modes deteriorates
Solution Approach 1:
The patent segments the recommendation process by usage modes (notebook mode, tablet mode, etc.). Instead of a single general recommendation, the system divides recommendations into mode-specific categories, gathering usage data separately for each mode and recommending applications tailored to each mode's characteristics, thereby improving accuracy without significantly complicating the overall process
Solution Approach 2:
The patent changes the recommendation parameters from simple download amounts to multi-dimensional parameters including usage mode identification, application usage frequency, and user behavior patterns. By incorporating these additional parameters specific to each usage mode, the system achieves more accurate recommendations while maintaining operational simplicity through automated data collection and analysis
2Adaptability or versatility
If operation parameters are adjusted manually by user, then the adjustment flexibility is high, but the matching between operation parameters and software usage scenario deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors usage scenarios and application performance, then automatically adjusts operation parameters (such as CPU frequency, memory allocation, power settings) based on the collected data. This closed-loop feedback ensures that parameters remain optimally matched to the current usage scenario while preserving user flexibility through configurable adjustment ranges and priorities
Solution Approach 2:
The system performs self-adjustment of operation parameters without requiring manual user intervention. By automatically detecting the current usage mode and selecting appropriate parameter configurations, the system maintains reliable matching between parameters and scenarios while freeing users to focus on high-level preferences rather than detailed adjustments
Data Source
AI summary
A method and apparatus for determining an application to be recommended are provided. The method includes: obtaining mode identification information of a usage mode used by each of a plurality of terminal devices and application identification information of an application run in the usage mode used by each of the plurality of terminal devices which are sent from each of the plurality of terminal devices; gathering the mode identification information and the application identification information sent from the plurality of terminal devices; and determining an application meeting a predetermined condition for each usage mode based on the gathered mode identification information and application identification information, where the application meeting the predetermined condition for each usage mode is an application to be recommended for each usage mode.