Contextual Content Matching for More Relevant Advertisements

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Solution Overview

Problem

Current advertising systems fail to align advertisements with the subject matter of the primary content being consumed, reducing the effectiveness of the advertisements.

Innovation Solution

A system that analyzes primary content to determine contextual information and matches it with secondary content, such as advertisements, at varying levels of granularity to enhance relevance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If advertisements are served without regard to the subject matter of the preceding primary content, then the advertising system is simple and fast to implement, but the effectiveness and relevance of the advertisements to viewers is reduced

Engineering Contradiction:

Improveadvertising effectivenessVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary analysis of the primary content to extract contextual information before selecting advertisements. This advance preparation enables the system to match ads with relevant content themes, improving advertising effectiveness without adding complex real-time decision-making processes

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary component that analyzes primary content and generates contextual descriptors, which then serve as a bridge between the content and advertisement selection processes. This intermediary layer simplifies the overall system by decoupling content analysis from ad selection while maintaining relevance

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If contextual analysis of primary content is performed to match with advertisements, then the relevance and viewer engagement increases, but the processing time and computational resources increase

Engineering Contradiction:

Improvecontent-ad alignmentVSAvoidprocessing time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The content analysis process is segmented into distinct stages: extracting contextual information, generating descriptors, and matching with advertisements. This segmentation allows each stage to be optimized independently and enables parallel processing where possible, reducing overall processing time while maintaining analysis depth

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system adjusts analysis parameters dynamically based on content type and advertisement requirements. By changing the granularity and depth of contextual analysis according to specific needs, the system achieves high adaptability without consistently requiring maximum computational resources for all content

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20260006299A1Methods and systems for providing content

Publication Date: 2026.01.01 COMCAST CABLE COMM LLC

AI summary

Contextual information and topics associated with primary content and secondary content may be determined. Secondary content may be selected based on a similarity between the contextual information of the secondary content and the contextual information of the primary content.