Video Delivery Content Ranking via Score Segmentation

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Solution Overview

Problem

Video delivery services face challenges in dynamically generating a user interface that effectively combines and prioritizes advertisement, media program campaign, and recommendation content in real-time, given the limited time available for interface generation and the need to consider various user-specific factors.

Innovation Solution

A content ranking system that communicates with ad, media program campaign, and recommendation engines to generate scores for content relevance and importance, allowing the video delivery service engine to combine these scores to determine the most relevant content to display, thereby optimizing the user interface with a focus on user interaction and impression probability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the video delivery service displays the same display content in the same portion of the interface for all users, then the system operation is simple and consistent, but the user interface lacks personalization and relevance to individual user preferences

Engineering Contradiction:
Improvepersonalization of user interfaceVSAvoidcomplexity of content selection system
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The content selection system is segmented into multiple independent components: a content provider that supplies display content, a content selector that chooses specific content, and a video delivery service that presents content to users. This segmentation allows each component to specialize in one function, enabling personalization without overwhelming system complexity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

A content selector acts as an intermediary between the content provider and the video delivery service. This intermediary component receives multiple content options, applies selection criteria (including user-specific factors), and outputs a single selected content item. The intermediary absorbs the complexity of content evaluation and selection logic, keeping the overall system manageable while enabling personalized content delivery.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If the video delivery service aggregates and rates multiple types of content from different engines, then the content relevance and personalization improve, but the time required for interface generation increases

Engineering Contradiction:
Improvecontent relevance scoringVSAvoidinterface generation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

Content is pre-aggregated and pre-rated by specialized engines (ad engine, media program campaign engine, recommendation engine) before being passed to the video delivery service. These engines prepare content with relevance scores in advance, so when the user interface needs to be generated, the selection process can proceed quickly using pre-computed ratings rather than evaluating content from scratch.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system maintains continuous operation of multiple content engines that constantly generate and update content ratings. Instead of batch-processing content periodically, the ad engine, media program campaign engine, and recommendation engine operate continuously, ensuring that relevant content and scores are always available when needed for interface generation, minimizing delays.

Inventive Principle:
Principle #20Continuity of useful action

3Quantity of substance

If the system displays more content in the user interface, then the quantity of information provided increases, but the user interface becomes less focused and may reduce user engagement

Engineering Contradiction:
Improveamount of display contentVSAvoiduser interface effectiveness
Core Design Contradiction:
Quantity of substanceVSEase of operation

Solution Approach 1:

Different portions of the user interface are assigned different qualities and purposes. The video delivery service reserves specific portions of the interface for display content while leaving other portions for user-selected videos and interactions. Each region is optimized for its specific function, creating a balanced interface that provides sufficient content without overwhelming the user.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system dynamically changes parameters such as the number of content items displayed, their positioning, and their prominence based on user context and engagement metrics. By adjusting these parameters, the system can optimize the balance between providing sufficient content quantity and maintaining interface effectiveness, ensuring that displayed content is neither too sparse nor too overwhelming.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS10798467B2Personalized content ranking using content received from different sources in a video delivery system
Publication Date: 2020.10.06 ADEIA MEDIA HOLDINGS INC
  • US10798467B2 patent drawing
  • US10798467B2 patent drawing
  • US10798467B2 patent drawing

AI summary

In some embodiments, a method generates combinations of ad campaign content and media program campaign content and ranks the combinations of ad campaign content and media program content. The ranking is based on ad campaign content being shown with the media program campaign content. The method selects one or more of the combinations of ad campaign content and media program campaign content based on the ranking. Then, display of the one or more of the combinations of ad campaign content and media program campaign content is caused where the one or more of the combinations of ad campaign content and media program campaign content include ad campaign content shown with media program campaign content in a same area of a display.