Personalized Media Segmentation via Dynamic Content Injection
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Solution Overview
Problem
Existing media delivery systems struggle to provide personalized and dynamic content to users, as personalized playlists often have content segments spread across various episodes or shows, making navigation and updates challenging, with no feature to notify users of changes and no history of previous media objects.
Innovation Solution
A system that allows content creators to dynamically inject personalized media content items into episodes based on user taste profiles, using a segments reader and personalization service to retrieve and store personalized segment metadata, enabling seamless integration and notification of content changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If personalized media content items are dynamically injected into episodes based on user taste profiles, then user engagement and content relevance are improved, but system complexity and processing requirements increase
Solution Approach 1:
The system segments media content into discrete content items with associated metadata, allowing individual items to be selected and injected into episodes based on user profiles. This segmentation enables flexible recombination of content items without requiring complex restructuring of entire episodes, thus improving personalization while managing system complexity through modular content organization.
Solution Approach 2:
The patent introduces an intermediary component (content selection system) that sits between the media library and episode generation. This intermediary handles the complex matching logic between user taste profiles and content items, isolating the personalization complexity from both the content storage system and the episode playback system, thereby enabling advanced personalization without proportionally increasing overall system complexity.
2Productivity
If content segments are spread across various episodes or shows for distribution, then content availability is improved, but navigation and user experience deteriorate
Solution Approach 1:
The patent implements a universal episode structure that can contain both static and dynamic content items, allowing the same episode template to serve multiple users with different preferences. The episode structure acts as a multi-functional container that adapts its content based on user profiles while maintaining a consistent navigation framework, thus improving both distribution efficiency and user experience.
Solution Approach 2:
The system performs preliminary organization of content items into reusable segments with standardized metadata before episode assembly. Content items are pre-tagged with attributes that facilitate later personalization, and episode templates are pre-configured with placeholders for dynamic content injection. This preliminary structuring enables efficient navigation and retrieval during playback without requiring complex real-time processing.
3Adaptability or versatility
If personalized playlists are generated for each user, then content relevance is improved, but content updates and version control become difficult
Solution Approach 1:
The patent implements a copying mechanism where personalized episode instances are generated as copies of a master episode template, with dynamic content items selected based on user profiles. The master template retains the authoritative version of the episode structure and static content, while user-specific copies contain personalized dynamic content. This copying approach enables easy updates to the master template that automatically propagate to all user versions, maintaining content history and enabling version control while delivering personalized content.
Data Source
AI summary
Methods, systems and computer program products are provided for performing personalization. A segments reader receives a request for episode metadata corresponding to an episode. A determination is made whether the episode metadata should be personalized to an account associated with the request. In turn, personalized-episode metadata associated with the account and the request is retrieved and the personalized-episode metadata is provided to a client device associated with the request.