App Installation Type Determination Method
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Solution Overview
Problem
Existing methods for tracking APP installations and usage are prone to disputes due to fake activation and download amount discrepancies, failing to accurately reflect real installation and utilization statistics.
Innovation Solution
A method to determine APP installation types by obtaining installation events and device features, matching this information with application lists and histories to classify installations as new, recall, update, repetition, device exception, or simulator installation, and using this classification to correct download statistics and identify fraudulent channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If activated feedback is used to statistics APP installation quantity, then the statistical process is simple, but the accuracy of installation statistics is poor and fake activation cannot be detected
Solution Approach 1:
The installation statistics process is segmented into multiple verification stages: device feature detection, application list matching, installation history checking, and device type judgment. Each stage independently verifies specific aspects of installation authenticity, collectively achieving high-accuracy detection while maintaining process clarity through modular organization.
Solution Approach 2:
The patent introduces an intermediary verification system that acts between the APP installation event and the final statistics. This intermediary layer collects and analyzes device features, application lists, and installation history to authenticate installations before counting them, thereby improving accuracy without significantly complicating the overall statistical workflow.
2Measurement precision
If multiple verification parameters are collected to improve installation detection accuracy, then the accuracy of installation type classification is improved, but the system complexity increases
Solution Approach 1:
The verification system is divided into distinct functional modules: device feature detection module, application list management module, installation history analysis module, and installation type determination module. Each module handles specific verification parameters independently, improving classification accuracy while managing system complexity through clear separation of concerns and modular architecture.
3Reliability
If device features and application history are analyzed to detect fake installations, then the reliability of download statistics is improved, but the detection time and processing overhead increase
Solution Approach 1:
The system performs preliminary actions by pre-collecting and organizing device features, maintaining application lists, and recording installation history before the actual verification process. This preparatory work enables faster real-time verification by having reference data readily available, thus improving reliability without significantly increasing detection time during the critical verification phase.
Data Source
AI summary
This invention provides the download system of APP, determination method of installation type and storage medium. The determination method of the installation types of APP includes: obtaining the installation event of the target APP and the information of the target APP; detecting the device features of the terminal where the target APP is installed and obtaining the application list and application installation history of the terminal, wherein the application list is used to record the information of the application existing in the terminal and the application installation history is used to record the event of installing the APP in the terminal and the information of the installed APP; judging the device type of the terminal according to the device features; using the information of the target APP to match in the application list and application installation history and get the installation status of the target APP in the terminal; determining the installation type of the target APP according to the device type and installation status. The scheme of this invention can enable the application program to identify the quality of promotion channels.