Video Aggregation System with Two-Stage Filtering for Personalized Feeds
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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 filter video content effectively across diverse platforms and devices, while also addressing intellectual property piracy concerns.
Innovation Solution
A system that aggregates video content from multiple internet sources, filters out non-video items and content that does not meet user-specified criteria, and presents personalized video feeds through an interface, utilizing a service feed aggregation system with first- and second-stage filtering, and user interaction-based preference mapping.
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 experience and content relevance are improved, but system complexity and filtering difficulty increase
Solution Approach 1:
The patent segments the video content aggregation system into multiple independent modules: a service feed acquisition module that collects feeds from various internet sources, a two-stage filtering module that removes non-video content and applies user criteria, and a personalized feed generation module that assembles the final output. This segmentation allows each module to handle specific tasks independently, reducing overall system complexity while maintaining personalization capabilities.
Solution Approach 2:
The patent introduces an intermediary aggregation system that acts as a mediator between multiple internet service feeds and the user's personalized feed. This intermediary layer handles the complex tasks of acquiring, filtering, and processing feeds from diverse sources, thereby simplifying the user interface and reducing the complexity burden on end-user devices while enabling sophisticated personalization.
2Manufacturing precision
If comprehensive filtering is applied to remove non-video items and irrelevant content, then feed quality is improved, but processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action through a two-stage filtering process. The first stage performs initial filtering to remove obviously non-video content and duplicate items before the second stage applies more sophisticated user-defined criteria. This preliminary filtering reduces the volume of content requiring intensive processing, thereby improving feed quality while minimizing processing time and computational resource consumption.
3Measurement precision
If user preferences are automatically mapped from interactions with internet services, then personalization accuracy is improved, but data processing complexity and privacy concerns increase
Solution Approach 1:
The patent employs feedback mechanisms where user interactions with internet services (such as viewing behavior, selections, and preferences) are automatically captured and mapped to refine the personalized feed. This feedback loop continuously improves preference accuracy by learning from user behavior patterns while processing data systematically to manage complexity and address privacy considerations through structured data handling.
4Adaptability or versatility
If multiple service feeds are aggregated from diverse internet sources, then content variety is improved, but filtering difficulty and intellectual property risks increase
Solution Approach 1:
The patent applies preliminary filtering actions to aggregate service feeds from diverse internet sources, systematically removing non-video content, duplicates, and potentially problematic material before content variety is fully realized. This preliminary processing reduces intellectual property piracy risks by filtering out unauthorized or questionable content while preserving legitimate diverse content sources.
Data Source
AI summary
A video aggregation system presents video content items to multiple users. A first filter is used to filter content items from a first feed and a second feed for a first user. A second filter is used to filter content items from the first feed and the second feed for a second user.