Digital Content Clustering for Media Presentation Redundancy
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Solution Overview
Problem
Existing technologies face challenges in efficiently selecting and presenting digital content from multiple data sources, such as social networking and content-sharing services, due to redundancy and varying quality, which can lead to resource inefficiencies and user dissatisfaction.
Innovation Solution
The method involves clustering digital content based on metadata, determining a goodness measure for each item, and selecting content for inclusion in a media presentation while removing redundant items, thereby optimizing resource usage and enhancing user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital content from multiple data sources is aggregated for media presentations, then content variety and user engagement are improved, but redundancy and resource inefficiency increase
Solution Approach 1:
The patent segments digital content into clusters based on metadata similarity (e.g., time, location, event type). By dividing the aggregated content into distinct clusters, the system can efficiently identify and remove redundant items within each cluster while preserving content variety across different clusters, thus resolving the contradiction between content variety and resource efficiency
Solution Approach 2:
The patent introduces a goodness measure parameter that evaluates digital content based on multiple criteria including metadata quality, content relevance, and redundancy. By changing the selection criterion from simple aggregation to goodness measure-based selection, the system optimizes resource usage while maintaining content variety in the media presentation
2Quantity of substance
If all digital content items are included in media presentations, then content completeness is improved, but presentation quality and user satisfaction deteriorate due to redundancy
Solution Approach 1:
The patent extracts and removes redundant digital content items from the aggregated set before creating the media presentation. By identifying items with similar metadata and lower goodness measures, the system extracts only the necessary content while removing duplicates, thus maintaining content completeness without compromising presentation quality
Solution Approach 2:
The patent employs a feedback mechanism where the goodness measure of each content item is evaluated based on its metadata and relationship to other items. This feedback loop allows the system to iteratively refine content selection, ensuring that only high-quality, non-redundant items are included in the final presentation, thereby balancing completeness and quality
3Productivity
If redundant digital content is removed from media presentations, then resource efficiency is improved, but processing complexity increases
Solution Approach 1:
The patent performs preliminary clustering of digital content based on metadata before the actual media presentation creation. By pre-organizing content into clusters and identifying redundancies in advance, the system reduces the processing complexity during presentation generation while improving resource efficiency through selective content inclusion
Data Source
AI summary
Implementations of the present disclosure are generally directed to receiving, a plurality of items of digital content from one or more data sources associated with a user, providing a plurality of clusters of digital content, each cluster including one or more items of digital content of the plurality of items of digital content, for a cluster: determining a goodness measure for each item of digital content within the cluster, the goodness measure being at least partially based on metadata associated with a respective item of digital content, and selecting at least one item of digital content from the cluster for inclusion in the media presentation, and providing the media presentation for display on a computing device of the user, the media presentation including the at least one item of digital content.