Customized Video Content System with AI Curation
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Solution Overview
Problem
Current digital platforms for video news lack intelligence in curating customized content, require significant user effort to search for relevant news, and fail to distinguish authentic from fake news, while also lacking a user-friendly interface that can provide instant access to credible information, especially for users unfamiliar with digital technologies.
Innovation Solution
A method and system that utilizes artificial intelligence and machine learning to create customized video playlists from authentic sources, allowing users to stream news content in a logical manner based on predetermined parameters, with a simple interface for easy navigation and one-touch access, including the ability to swipe through stories and add personal opinions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video news is provided in a linear stream on digital platforms, then users can access news reports, but users cannot exercise their choice to view particular news stories or get customized news reports
Solution Approach 1:
The system pre-processes and analyzes news clips to extract key information, topics, and relevance metrics before user interaction. This preliminary action enables the system to automatically assemble customized playlists based on user preferences without requiring users to manually search or select individual clips, thus providing both adaptability and ease of operation
Solution Approach 2:
The patent replaces the mechanical manual selection process with an automated intelligent system that uses AI and machine learning to analyze user preferences, news content, and contextual parameters to automatically generate personalized newscasts, eliminating the need for users to manually search and select clips
2Adaptability or versatility
If digital platforms provide personalized newscasts based on user preferences, then users can get customized content, but the system cannot distinguish authentic news from fake or dubious news
Solution Approach 1:
The patent introduces an intermediary verification layer between news sources and users that uses AI and machine learning to analyze and verify the authenticity of news content. This intermediary system cross-references multiple sources, checks for credibility indicators, and filters out fake or dubious news before presenting personalized content to users, thus maintaining both personalization capability and reliability
Solution Approach 2:
The system implements feedback mechanisms where user interactions, verification results, and news performance data are continuously analyzed to improve the authenticity verification process. The AI system learns from verified authentic news patterns and user feedback to enhance its ability to distinguish credible news from fake news while maintaining personalized content delivery
3Adaptability or versatility
If users must click on individual video clips to access news reports, then users can select specific content, but the interface becomes cumbersome for short news clips
Solution Approach 1:
The patent merges multiple individual news clips into a unified automated playlist that plays sequentially without requiring individual user interactions. The system combines selection, organization, and playback functions into a single automated process, allowing users to access multiple news stories through one action rather than clicking on each clip individually, thus maintaining content selection capability while dramatically improving interface simplicity
4Quantity of substance
If news content is provided without intelligent curation, then all news stories are available, but users must spend considerable time searching for relevant news
Solution Approach 1:
The system performs preliminary analysis and organization of news content by topics, relevance, and user preferences before user access. This pre-curation process maintains the availability of diverse news content while automatically filtering and organizing it into relevant playlists, eliminating the time users would otherwise spend searching through uncurated content
Solution Approach 2:
The patent replaces manual user searching with an automated intelligent curation system that uses AI and machine learning to analyze news content, user preferences, and contextual parameters to automatically assemble relevant playlists, thus preserving content availability while eliminating search time
Data Source
AI summary
Aspects of the invention are directed towards systems and methods for providing the user with customized video content from a platform. Embodiments of the invention describes a user interface on the user terminal for receiving user preferences from the user. A number of buckets for the video content to be consumed by the user based on the user preferences are disclosed. The video content to be filled in each of the buckets is determined based on a real time criteria. The buckets are which are filled with the video content are assembled and a predetermined video content is interspersed between each of the bucket to form the customized video content.