Shared Content Score for Multimedia Ranking
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Solution Overview
Problem
Users face difficulty in identifying and ranking favorite multimedia content across various platforms and devices, as existing methods are either manual or tied to specific websites, lacking an automated solution that considers multiple sharing factors.
Innovation Solution
A system that tracks and computes a shared content score for multimedia content by monitoring sharing actions across different applications, including social media and person-to-person sharing, using sensors and facial recognition to identify and rank content based on sharing frequency and method.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual ranking or third-party apps are used to identify favorite content, then users can track popular media, but the process is tedious and requires significant user time and effort
Solution Approach 1:
The system automatically detects sharing actions and computes shared content scores without requiring user intervention. The patent implements automated tracking of sharing events across applications and devices, calculating scores based on sharing frequency and patterns, thereby eliminating the need for manual sorting or third-party app intervention.
Solution Approach 2:
The system pre-computes and maintains shared content scores by continuously monitoring sharing actions in the background. By performing the ranking computation in advance and keeping it updated automatically, the system makes favorite content readily identifiable without requiring users to spend time sorting through their media libraries when they need to find favorites.
2Adaptability or versatility
If third-party apps are used to calculate metrics for popular media, then users can track reposted content, but the apps are tied to specific websites and not the shared media itself
Solution Approach 1:
The system is designed to track sharing actions across multiple applications and devices universally. It detects sharing events from various content handling applications including social media sites and person-to-person sharing apps, computing a unified shared content score that works across different platforms and devices, making it independent of any specific website or application.
Solution Approach 2:
The patent introduces a shared content score as an intermediary metric that bridges different platforms and applications. Instead of being tied to any specific third-party app or website, the score serves as a universal indicator of content popularity that can be computed and applied across diverse sharing contexts, effectively mediating between different sharing ecosystems.
3Ease of operation
If users manually rank content by deciding which photos to post, keep, or delete, then they can control their media, but the process is tedious and time-consuming
Solution Approach 1:
The system performs content ranking automatically by detecting sharing actions and computing scores without requiring users to manually evaluate or sort their media. The shared content score is calculated based on objective sharing metrics, eliminating the need for users to spend time deciding which photos to keep or delete while still providing meaningful ranking results.
4Measurement precision
If no automated ranking system exists, then users have full control over their content, but there is no method to automatically rank media based on multiple factors that would make it more meaningful
Solution Approach 1:
The system uses multiple parameters to compute the shared content score, including sharing frequency, sharing patterns, and user interaction metrics. By incorporating these multiple factors into the scoring calculation, the system achieves precise and meaningful ranking that reflects actual content popularity and user preferences, making the automated ranking both accurate and relevant.
Data Source
AI summary
An approach is provided for identifying favorite multimedia content, such as digital photographs, possessed by a user. The approach detects a number of content sharing actions involving multimedia content, such as digital photographs, with the detecting being from a number of content handling applications, such as social media sites and person-to-person sharing. One of the content handling applications is a content player, such as a image viewer, that runs on a portable device, such as a smart phone or tablet computer system. The approach computes a shared content score for each of the multimedia content, with the shared content score being based on the content handling application that was used in the content sharing actions. The approach further identifies “favorite” multimedia content based on the shared content score pertaining to each multimedia content.