Video Popularity Display via Referrer Grouping
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Solution Overview
Problem
Users find it difficult to discover videos that interest them on conventional video hosting sites, as many relevant videos remain undiscovered due to the lack of effective content recommendation mechanisms.
Innovation Solution
Videos are grouped based on the popularity of embedded hyperlinks from third-party websites, with the popularity engine determining the referrer-driven popularity and genre-based categorization, allowing users to browse 'channels' and web feeds featuring videos popularized by specific websites or genres.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If videos are made available on conventional video hosting sites without referrer-based grouping, then videos can be accessed by users, but users find it difficult to discover videos that interest them and many relevant videos remain undiscovered
Solution Approach 1:
The patent segments the vast video catalog into organized channels based on referrer websites and video genres. Instead of presenting all videos in a single undifferentiated list, the system divides videos into multiple themed channels (e.g., news, entertainment, sports) that are grouped by their referring websites or content categories, making it easier for users to discover relevant videos without being overwhelmed by the entire catalog.
Solution Approach 2:
The patent introduces referrer websites as intermediaries in the video discovery process. By tracking which third-party websites embed and link to videos, the system uses these referrers as mediators to organize and present videos to users. The referrer-based channels act as an intermediary layer between the raw video catalog and user preferences, leveraging the curatorial role of third-party sites to surface relevant content.
2Productivity
If videos are grouped by referrer popularity and displayed in channels, then user engagement and traffic increase, but the system complexity increases due to popularity determination and genre categorization
Solution Approach 1:
The patent implements a self-service mechanism where the system automatically tracks referrer websites, determines video popularity based on embed counts, and organizes videos into channels without requiring manual intervention. The popularity engine autonomously monitors which third-party websites embed videos most frequently and uses this data to dynamically create and update referrer-based channels, reducing operational complexity while maintaining high user engagement.
Solution Approach 2:
The system incorporates feedback loops where user viewing behavior and referrer embed data are continuously monitored and fed back into the channel organization system. The popularity determination mechanism uses feedback from actual video views and referrer performance to dynamically adjust which videos are featured in which channels, creating a self-optimizing system that adapts to user preferences without manual reconfiguration.
Data Source
AI summary
A system and method for determining popularity of a video based in part on requests for the video received from a referrer, grouping videos whose popularity based on requests from referrers exceeds a threshold and displaying those videos in a channel or providing them in a web feed.