Adaptive Recommendation Resource Loading via Terminal State
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Solution Overview
Problem
Existing splash screen advertisement systems suffer from poor real-time performance due to preloaded advertisement content being acquired before an advertisement display opportunity, leading to inefficient loading and display.
Innovation Solution
A method and apparatus that acquire a first recommendation content resource in real time and a second preloaded resource, determining a target resource based on the terminal's current state to adaptively improve loading efficiency and real-time performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If advertisement content is preloaded into internal memory before display opportunity, then loading speed is improved, but real-time performance deteriorates
Solution Approach 1:
The system performs preliminary actions by preloading advertisement content into internal memory in advance, so that when a display opportunity arises, the content can be immediately displayed without waiting for network loading, thus improving loading speed while maintaining real-time performance through advance preparation
Solution Approach 2:
The system dynamically switches between preloaded advertisement content from internal memory and real-time network loading based on the current state and display opportunities, allowing flexible adaptation between speed optimization and real-time performance requirements
2Reliability
If advertisement content is loaded in real time from network, then real-time performance is improved, but loading efficiency deteriorates
Solution Approach 1:
The system performs preliminary actions by preloading advertisement content into internal memory in advance, so that when a display opportunity arises, the content can be immediately displayed without waiting for network loading, thus improving loading speed while maintaining real-time performance through advance preparation
Solution Approach 2:
The system dynamically switches between preloaded advertisement content from internal memory and real-time network loading based on the current state and display opportunities, allowing flexible adaptation between speed optimization and real-time performance requirements
Data Source
AI summary
A recommendation content resource acquisition method includes receiving a recommendation content display request based on a target application; acquiring a first recommendation content resource and a second recommendation content resource based on the recommendation content display request, the first recommendation content resource being a recommendation content resource loaded in real time, and the second recommendation content resource being a preloaded recommendation content resource. The method includes determining a target recommendation content resource from the first recommendation content resource and the second recommendation content resource according to a current device state of a terminal indicative of a running status of the terminal; and loading the target recommendation content resource on the target application.


