Video Feed Personalization via Friend Recommendations
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Solution Overview
Problem
Traditional video content distribution platforms do not allow users to share video content with friends directly within the platform, relying on separate communication or social media platforms, and lack customization and personalization features for video feeds.
Innovation Solution
A computer-implemented method for a video content distribution and messaging platform that enables users to associate friends, share video recommendations, and receive personalized feeds based on preferences, allowing for real-time video streaming and chat functionality, with features like friend feeds, playlists, and customizable content curation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional video content distribution platforms are used, then users can access video content through search and recommendation engines, but users cannot share video content with friends directly within the platform
Solution Approach 1:
The patent combines video content distribution functionality with social networking features by integrating friend lists, video sharing capabilities, and personalized feeds into a single platform. Users can share videos with friends directly within the platform while maintaining content distribution capabilities, eliminating the need for separate communication platforms.
Solution Approach 2:
The platform is designed to perform multiple functions including video content distribution, social networking, personalized content curation, and direct friend-to-friend sharing. This multi-functional approach allows the system to address both content delivery and social interaction needs within a single unified platform.
2Adaptability or versatility
If algorithmic recommendation engines are used to discover video content, then users can find content based on past viewing habits, but users cannot customize and personalize their video feed
Solution Approach 1:
The patent implements dynamic feed customization where users can actively adjust their video feeds by adding, removing, or prioritizing specific content based on personal preferences. The system responds to user actions in real-time, allowing the feed to adapt dynamically to changing interests rather than relying solely on static algorithmic recommendations based on past viewing habits.
Solution Approach 2:
The platform incorporates feedback mechanisms where users can rate, like, or mark content as important, and this feedback is used to adjust their personalized feed. The system learns from user interactions and automatically adjusts content prioritization, giving users direct control over their viewing experience while reducing the need for manual configuration.
3Reliability
If public comments are allowed on video content, then user engagement increases, but brand safety is compromised
Solution Approach 1:
The patent applies different comment visibility rules to different contexts within the platform. Comments are made private by default and visible only to specific users (such as friends or subscribers), rather than being publicly visible to everyone. This localized approach to comment visibility maintains brand safety by preventing public exposure to inappropriate content while still allowing meaningful user interaction within controlled audiences.
Data Source
AI summary
A computer-implemented method for providing, through a computer network via a server computer, a video content distribution and messaging platform to communicate video content from a plurality of content sources to respective user devices of platform users, and for enabling platform users to share the video content with their friends. The method comprises receiving, at the platform, a video recommendation from a first platform user for an instance of video content distributed to the first platform user, the video recommendation to be communicated to at least one other platform user who is a friend of the first platform user. The method further comprises sending from the platform the video recommendation to the at least one other platform user who is a friend.