Dynamic Supplemental Content Selection via Viewer Analytics

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Solution Overview

Problem

Current set-top box systems lack personalized advertisement selection based on viewer habits, leading to inefficient supplemental content delivery with excess network traffic and wasted resources due to unsuitable or uninteresting content being presented to viewers.

Innovation Solution

Implementing a system that monitors viewer interactions with supplemental content to generate analytics, which are then used to select and provide more directed and interesting supplemental content, improving computing resource utilization by tailoring content delivery based on viewer preferences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If supplemental content is transmitted to all viewers regardless of interest, then content delivery coverage is maximized, but network traffic and computing resources are wasted

Engineering Contradiction:

Improvenetwork traffic and computing resourcesVSAvoidpersonalized content selection

Core Design Contradiction:

Loss of energyVSAdaptability or versatility

Solution Approach 1:

The system monitors viewer interactions with supplemental content (such as advertisement clicks or skips) and uses this feedback to generate analytics that inform future content selection. This feedback loop enables the system to learn viewer preferences and adjust content delivery accordingly, reducing waste while improving personalization.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system changes the parameter of content selection from static (pre-defined pools) to dynamic (analytics-based selection). By generating supplemental content analytics from viewer interactions and using these analytics to select subsequent supplemental content, the system adapts content delivery parameters based on actual viewer behavior, optimizing resource utilization.

Inventive Principle:

Principle #35Parameter changes

2Productivity

If a fixed pool of advertisements is used for all viewers, then content delivery is simple and fast, but viewer engagement and relevance are reduced

Engineering Contradiction:

Improveviewer engagement and content relevanceVSAvoidcontent selection system

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by monitoring and analyzing viewer interactions with supplemental content to generate analytics before selecting subsequent content. This preliminary analysis enables informed content selection that balances engagement improvement with manageable system complexity.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system enables self-service by automatically generating supplemental content analytics from viewer interactions and using these analytics to autonomously select appropriate supplemental content. This automation reduces manual configuration complexity while improving content relevance and viewer engagement.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12262084B2Dynamic supplemental content based on viewer analytics

Publication Date: 2025.03.25 DISH NETWORK TECHNOLOGIES INDIA PTE LTD

AI summary

Systems and methods are described herein for selecting supplemental content for a viewer based on supplemental-content analytics for the view. Supplemental-content analytics are generated for the viewer based on historical viewer interactions with previously provided supplemental content by the viewer. While content is being provided to the viewer, a determination is made to pause the content and provide supplemental content to the viewer. The supplemental content is then selected and provided to the viewer based on the supplemental-content analytics for the viewer.