Cross-App Recommendation Sync to Cut Inputs and Power Use
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Solution Overview
Problem
Existing electronic devices struggle to efficiently present recommended content to users based on their activity across different applications, leading to increased power consumption and reduced battery life.
Innovation Solution
An electronic device synchronizes information across applications to recommend related content, reducing the need for user inputs and optimizing power usage by presenting content that aligns with user interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the electronic device presents recommended content based on user activity across different applications, then the user experience is improved and the number of user inputs is reduced, but the device complexity and power consumption increase
Solution Approach 1:
The system performs preliminary actions by monitoring and analyzing user activity across applications in advance, building user profiles and preparing recommended content lists before the user actually needs them. This allows the device to present relevant content proactively, reducing the number of user inputs required while the processing is already completed or near-complete.
Solution Approach 2:
The patent introduces an intermediary recommendation system that sits between the user and the content, analyzing user activity patterns and mediating content delivery. This intermediary layer processes information efficiently and presents only relevant recommendations, reducing overall system complexity while maintaining personalized content delivery across multiple applications.
2Loss of information
If the electronic device synchronizes information across multiple applications to recommend content, then the relevance of recommended content is improved, but the device complexity and processing requirements increase
Solution Approach 1:
The system extracts only the essential and relevant user activity information from across multiple applications, rather than synchronizing and processing all available data. By selectively taking out only the key interaction patterns and content preferences, the system maintains high content relevance while significantly reducing the complexity of the synchronization mechanism.
Solution Approach 2:
The patent implements a universal recommendation framework that can analyze user activity across different application types using the same core mechanisms. This multi-functional approach allows the system to handle diverse applications (video players, music players, browsing applications) through a unified synchronization and analysis process, reducing overall system complexity while maintaining content relevance.
Data Source
AI summary
In some embodiments, a first user interface of a first application is displayed by an electronic device which includes a first recommended content based on input for interaction with first content in a second application, different from the first application.