Online Media Platform Video Content Curation
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Solution Overview
Problem
Existing online media platforms disrupt the user experience by requiring users to search for additional information related to video content in separate windows, and manual searches often fail to yield relevant information.
Innovation Solution
An online media platform that curates and displays video content relevant to users' tradeable objects, using content indicator tags and user-specific data to provide personalized video selections and supplementary information concurrently with video playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users search for additional information in a separate medium, then users can obtain supplementary information, but the user's video viewing experience is disrupted
Solution Approach 1:
The patent combines the video playback interface and supplementary information display into a single unified interface. The system displays video content in a first region while simultaneously displaying relevant supplementary information in a second region of the same interface, eliminating the need for users to switch to a separate medium and maintaining continuous video viewing experience while providing access to additional information
2Loss of information
If users conduct manual search for related content, then users can find additional information, but the search may not yield the information the user is particularly interested in
Solution Approach 1:
The system automatically analyzes video content metadata and characteristics to identify and retrieve supplementary information that is relevant to the currently played video. This automated feedback mechanism ensures that the displayed information is precisely matched to the video content without requiring manual user search, thereby improving both the completeness and relevance of supplementary information
Solution Approach 2:
The system performs automatic content analysis and information retrieval based on the video being played, serving itself to identify relevant supplementary information without user intervention. The system extracts key characteristics from the video metadata and automatically queries for related content, delivering precise results without requiring user search skills or manual input
Data Source
AI summary
A processor-implemented method is disclosed. The method includes: obtaining identifying information for one or more tradeable objects associated with an entity; receiving, from at least one media data source, video data for one or more videos, the video data including content indicator tags associated with the one or more videos; identifying a first subset of the one or more videos based on: performing textual comparison between the content indicator tags associated with the one or more videos and identifiers associated with the one or more tradeable objects; and selecting videos for inclusion in the first subset based on the comparison; and sending, to a client device, an indication of the first subset of videos.