Metadata-Based Channel Scheduling for Themed Linear Broadcasts
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Solution Overview
Problem
Consumers face frustration in navigating the vast array of content options from linear broadcast providers, often settling for familiar content due to the complexity of selecting new content, and existing recommendation systems are inadequate for live streaming.
Innovation Solution
A method and system for creating a channel schedule that segments content items based on metadata similarity, allowing for themed channels tailored to viewer preferences, using metadata analysis to group and schedule content efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual labor is used to assess and group content items for channels, then content selection can be customized, but the complexity and time required increases significantly
Solution Approach 1:
The patent replaces manual content assessment with automated metadata analysis. The system extracts metadata from content items and uses computational algorithms to segment and group content automatically, eliminating the need for human evaluators to manually assess each content item while maintaining structured and reproducible content organization
Solution Approach 2:
The patent introduces metadata as an intermediary between content items and channel scheduling. Instead of manually evaluating content properties, the system uses metadata as a standardized intermediate representation that captures content characteristics, enabling automated segmentation and grouping based on metadata similarity without direct human intervention in the assessment process
2Adaptability or versatility
If traditional content recommendation systems are used, then users can access content quickly, but they only work with video-on-demand systems and not linear broadcast
Solution Approach 1:
The patent creates a universal content scheduling system that works across both video-on-demand and linear broadcast delivery models. The same metadata extraction, segmentation, and channel creation process can be applied to either system type, making the approach adaptable and versatile without requiring separate solutions for different delivery methodologies
Solution Approach 2:
The patent performs preliminary content segmentation and channel creation before actual content consumption. By pre-processing the content catalogue to create themed channels based on metadata similarity, the system prepares organized content structures in advance, reducing the time users need to spend discovering and selecting content when they actually want to watch something
3Productivity
If metadata analysis is used to segment content, then channel creation efficiency increases, but the complexity of metadata processing increases
Solution Approach 1:
The patent segments the content catalogue into smaller, manageable groups based on metadata similarity. By dividing the large content set into segments that share common metadata characteristics, the system can process and organize content more efficiently, creating themed channels that are easier to manage and broadcast while reducing the computational complexity of handling the entire catalogue at once
Data Source
AI summary
A computer-implemented method and system for creating a channel schedule for a linear broadcasting content provider, is disclosed. The method comprises: obtaining metadata associated with a plurality of content items in a content catalogue, the metadata representing at least some properties of the content items; segmenting the plurality of content items into segments based on metadata similarity; creating one or more channels based on the segments; and scheduling the plurality of content items, in the respective segments, for the one or more channels.