Personalized Streaming Supplemental Content Delivery
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Solution Overview
Problem
Existing systems for streaming broadcast content over networks lack personalized experiences and effective revenue generation methods, as they primarily focus on delivering content without integrating supplemental materials that cater to user interests and preferences.
Innovation Solution
A system that provides personalized experiences by delivering supplemental content associated with events, including advertisements, merchandizing opportunities, and interactive content, based on user characteristics and preferences, while allowing users to select and interact with events and content streams through a client-server architecture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If broadcast content is streamed without supplemental content, then content delivery is simple and fast, but user engagement and interaction are limited
Solution Approach 1:
The patent combines broadcast content streams with supplemental content streams into an integrated content delivery system. The system merges main content (TV shows, movies) with supplemental content (trailers, interviews, behind-the-scenes footage) to enhance user engagement while maintaining the simplicity of content consumption through a unified interface.
Solution Approach 2:
The content delivery system is segmented into multiple independent streams: main content streams and supplemental content streams. This segmentation allows the system to deliver core broadcast content while simultaneously providing enriching supplemental materials, resolving the contradiction between simplicity and engagement by organizing complexity into manageable segments.
2Productivity
If supplemental content is added to broadcast content, then user engagement and revenue opportunities increase, but system complexity and content delivery overhead increase
Solution Approach 1:
A content experience server acts as an intermediary between content providers and users. This intermediary manages the complexity of integrating multiple content streams, selecting appropriate supplemental content, and delivering it to users based on their preferences and viewing context, thereby enabling revenue generation without exposing system complexity to end users.
Solution Approach 2:
The system adds a supplemental content dimension to the traditional broadcast content delivery model. By layering supplemental content alongside main content streams, the system increases revenue opportunities and engagement without fundamentally altering the core content delivery infrastructure, thus managing complexity through dimensional expansion rather than structural overhaul.
3Ease of operation
If personalized content selection is implemented, then user experience and engagement improve, but system complexity and processing requirements increase
Solution Approach 1:
The system employs automated content selection mechanisms that analyze user viewing history, preferences, and context to automatically determine which supplemental content to deliver. This self-service approach eliminates the need for manual content selection by users while reducing processing complexity through algorithmic automation of content matching and recommendation.
Data Source
AI summary
An approach for providing personalized experiences to users of broadcast content streaming. Supplemental content identifications are obtained for individual sets of supplemental content associated with one or more selectable events. The one or more sets of supplemental content selected based on characteristics of an event selected by the user and on one or more user characteristics. The supplemental content being presented to the user using client computing platforms along with sets of streaming broadcast content associated with one or more events selected by the user to create personalized experiences.