Video Feed Aggregation System with Multi-Stage Filtering
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Solution Overview
Problem
The increasing complexity of user preferences and device variability in accessing internet services leads to challenges in providing personalized video content, as existing systems struggle to aggregate and present relevant video feeds across diverse devices and platforms while ensuring intellectual property rights and security.
Innovation Solution
A system that aggregates video content from multiple internet sources, filters out non-video items, and applies user-defined criteria to create personalized video feeds, using a service feed aggregation system with first- and second-stage filtering to ensure video-specific content is presented in a user-friendly interface across various devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video content is aggregated from multiple internet sources to provide personalized feeds, then user personalization and content relevance are improved, but system complexity and filtering requirements increase
Solution Approach 1:
The patent divides the video feed aggregation system into multiple independent filtering stages: a first filter that removes non-video items from service feeds, and a second filter that applies user-specific criteria. This segmentation allows each filter to specialize in specific tasks, reducing overall system complexity while maintaining high personalization capability.
Solution Approach 2:
The patent introduces an intermediary aggregation system that sits between multiple internet service feeds and the user interface. This intermediary layer handles the complex filtering and aggregation tasks, isolating the complexity from both the data sources and the user interface, thereby enabling personalization without increasing perceived system complexity.
2Manufacturing precision
If multiple service feeds are aggregated and filtered through multiple stages, then video content quality and relevance are improved, but processing time and system resources increase
Solution Approach 1:
The patent implements a first filtering stage that removes non-video items from service feeds before the main aggregation process. This preliminary action eliminates irrelevant content early in the pipeline, reducing the volume of data that requires further processing and thereby decreasing overall processing time while maintaining high filtering precision.
Solution Approach 2:
The patent applies different filtering intensities at different stages: the first filter applies a broad, less computationally intensive filter to remove obvious non-video items, while the second filter applies more precise user-specific criteria only to the remaining candidates. This partial action approach balances processing time and precision by not applying full filtering intensity uniformly across all content.
3Adaptability or versatility
If user-specific criteria are applied in a second filtering stage, then feed personalization is improved, but device complexity and operational complexity increase
Solution Approach 1:
The patent enables users to define their own filtering criteria for the second filtering stage, allowing the system to adapt to individual user preferences automatically. The system provides tools for users to specify their own content preferences, reducing the need for manual configuration and complex operational intervention while maintaining high personalization levels.
4Manufacturing precision
If non-video feed items are removed through filtering, then video content purity is improved, but information loss and content reduction occur
Solution Approach 1:
The patent extracts only the video content items from the mixed service feeds while discarding non-video items. This extraction approach maintains video content purity by removing irrelevant content types, while the systematic nature of the extraction ensures that no video content is accidentally removed, thus minimizing information loss.
Data Source
AI summary
A video aggregation system for providing a user personalized video content from videos available on the Internet generates a selective feed by combining a first feed and a second feed. The video aggregation system receives a search request from an Internet service and transmits a search reply containing a separately resolvable link to a video content object from the selective feed.


