Auto-Advance Media Interface With Interaction-Based Preloading
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Solution Overview
Problem
Existing content sharing platforms face challenges in predicting when to preload media content in media collections, leading to delays or unnecessary resource usage due to inaccurate prediction of user interaction, especially in large collections.
Innovation Solution
A system for auto-advancing media collections based on predefined user interactions, reducing the need for extensive predictive logic and optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Force
If the system uses extensive predictive logic to preload media content, then media content can be preloaded in advance, but the system consumes excessive bandwidth and computing resources
Solution Approach 1:
The patent extracts the predictive logic from the server-side system and relocates it to the client-side device. The client device autonomously determines when to preload media content based on its own interaction patterns, eliminating the need for complex server-side prediction algorithms and reducing server bandwidth and computing resource consumption.
Solution Approach 2:
The client device serves itself by implementing local predictive logic that monitors its own user interaction patterns with media collections. This self-service approach allows the device to autonomously decide when to preload content without requiring external prediction services, reducing overall system resource consumption.
2Loss of time
If the system preloads media content too early, then media content is ready for immediate display, but unnecessary computing resources are consumed
Solution Approach 1:
The system performs preliminary actions by preloading media content based on predicted user interactions. The client-side predictive logic analyzes user behavior patterns to determine the optimal timing for preloading content, ensuring it is ready when needed without loading it prematurely, thus balancing advance preparation with resource conservation.
Solution Approach 2:
The preloading strategy is made dynamic and adaptive rather than static. The system continuously monitors user interaction patterns and adjusts its preloading behavior in real-time, loading content based on actual observed behavior rather than fixed schedules, optimizing the balance between readiness and resource usage.
3Use of energy by moving object
If the system does not preload media content, then bandwidth and computing resources are conserved, but delays occur when media content is needed
Solution Approach 1:
The system performs preliminary actions by preloading media content based on predicted user interactions. The client-side predictive logic analyzes user behavior patterns to determine the optimal timing for preloading content, ensuring it is ready when needed without loading it prematurely, thus balancing advance preparation with resource conservation.
4Measurement precision
If the system uses complex predictive logic, then media content can be preloaded accurately, but device complexity increases
Solution Approach 1:
The patent extracts the predictive logic from the server-side system and relocates it to the client-side device. The client device autonomously determines when to preload media content based on its own interaction patterns, eliminating the need for complex server-side prediction algorithms and reducing server bandwidth and computing resource consumption.
Data Source
AI summary
Systems and Methods are described herein for detecting a first predefined interaction via a user interface during display of a media collection on the user interface. Based on the detecting of the first predefined interaction, the systems and methods cause media content in the media collection to auto advance in the user interface. The systems and method can further detect a second predefined interaction via the user interface while the media content in the media collection is auto advancing in the user interface. Based on the detecting of the second predefined interaction, the systems and methods cause the auto advance to stop.


