Smartphone Usage History Collection for App Recommendation Accuracy
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Solution Overview
Problem
Current smartphone application stores struggle to accurately recommend apps based on user behavior, as download counts and reviews can be misleading, and developers lack objective data on app usage frequency and user interests for business value determination.
Innovation Solution
A service system that collects and analyzes usage history from smartphones using an optimization application, identifying frequently used apps based on time, place, and occasion, and provides a research service with rewards to users for sharing their data, enabling personalized app recommendations and objective usage insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If app stores use download counts and reviews to recommend apps, then recommendation coverage is improved, but recommendation accuracy deteriorates
Solution Approach 1:
The patent replaces the mechanical/manual system of download count tracking and review collection with an automated sensing system that uses smartphone sensors (GPS, accelerometer, microphone, camera) to automatically detect and record actual app usage behavior, thereby substituting indirect metrics with direct observational data
Solution Approach 2:
The patent introduces a data collection intermediary layer that sits between the app store platform and users, using background services and sensor data to mediate the recommendation process by providing objective usage information rather than relying on user-provided reviews or simple download statistics
2Measurement precision
If app stores collect detailed usage data to improve recommendation accuracy, then measurement precision is improved, but user privacy protection deteriorates
Solution Approach 1:
The patent applies local quality by collecting detailed usage data only when and where needed - using context-aware sensor activation based on app usage patterns, time, location, and device state, rather than continuously collecting all possible data, thereby providing high measurement precision only in relevant contexts while minimizing overall data collection
Solution Approach 2:
The system enables users to self-manage their privacy settings and data collection preferences through customizable permissions and opt-out mechanisms, allowing users to control what data is collected and how it is used, thereby maintaining measurement precision for those who consent while protecting privacy for those who do not
3Quantity of substance
If developers conduct surveys to obtain usage data, then data collection completeness is improved, but time consumption deteriorates
Solution Approach 1:
The patent implements continuous passive data collection through background services that automatically monitor app usage, sensor data, and user behavior without requiring periodic user intervention, thereby maintaining continuous data accumulation and eliminating the time loss associated with periodic surveys while ensuring data completeness
Data Source
AI summary
A service system and method for collecting usage history of a smartphone using a smartphone optimization application, recommending a user-fitting application, and providing a research service based on a reward, include a processor, and a memory. The processor includes a collector configured to collect usage history provided from a terminal according to a control of an optimization application that is installed in the terminal and automatically executed in the terminal for at least one of a security enhancement and performance optimization of the terminal, and an analyzer configured to analyze at least one of a field of interest of the user and a usage pattern of the user about at least one other application installed in the terminal, based on the collected usage history.