Automated Advertisement Placement Scoring System

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Solution Overview

Problem

The existing processes for placing advertisements in media content are manual, complex, and inefficient, requiring significant resources and often result in mistakes that need correction, especially when ensuring that advertisements do not appear alongside those of competitors.

Innovation Solution

A computer-implemented system that automates the placement of advertisements by assigning break scores to each advertisement based on product codes and user-defined rules, using a tree data structure to determine optimal placement within advertisement breaks, thereby streamlining the process and reducing manual intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual processes are used to place advertisements in media content, then flexibility in handling complex advertisement placement rules can be maintained, but the process becomes complex, resource-intensive, and error-prone

Engineering Contradiction:

ImproveAdvertisement placement processVSAvoidPlacement system complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical processes with an automated computer-based system that uses algorithms to evaluate advertisement placement options. The system automatically scores breaks based on multiple criteria (advertiser preferences, competitor exclusion, time of day, audience demographics) and selects optimal placements without human intervention, thereby reducing operational complexity while maintaining rule compliance

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service automation where the computer system independently evaluates advertisement placement opportunities against predefined rules and criteria, making decisions without requiring manual review or adjustment. The automated scoring and selection process handles complex multi-factor optimization autonomously

Inventive Principle:

Principle #25Self-service

2Productivity

If manual advertisement placement processes are used, then resource allocation can be adjusted flexibly, but significant computing resources and time are wasted on processing and correction

Engineering Contradiction:

ImproveAdvertisement placement efficiencyVSAvoidProcessing and correction time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary evaluation of all possible advertisement placement options before final placement decisions are made. By pre-calculating break scores based on advertiser preferences, competitor exclusion rules, and other criteria, the system eliminates the need for time-consuming manual review and correction processes that would otherwise be required

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system incorporates feedback mechanisms where placement decisions are continuously optimized based on evaluated outcomes. The automated scoring system learns from placement results and adjusts future placements to improve efficiency and reduce errors, thereby minimizing time loss from corrections

Inventive Principle:

Principle #23Feedback

3Productivity

If automated scoring systems are implemented to evaluate advertisement placement, then placement optimization is achieved, but system complexity increases

Engineering Contradiction:

ImproveAdvertisement placement optimizationVSAvoidScoring system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the complex advertisement placement problem into distinct evaluable components: break scoring based on advertiser preferences, competitor exclusion analysis, time-of-day considerations, and audience demographic matching. Each component is scored independently and aggregated to produce an overall placement score, making the complex optimization process manageable and systematic

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system transforms the qualitative advertisement placement decision into quantitative parameters by assigning numerical scores to different break options based on multiple criteria. This parameterization allows complex optimization to be achieved through mathematical comparison and selection of highest-scoring options, simplifying the decision-making process

Inventive Principle:

Principle #35Parameter changes

4Reliability

If competitor exclusion rules are enforced to prevent advertisements from appearing alongside competitors, then advertiser compliance is ensured, but the placement process becomes more complex

Engineering Contradiction:

ImproveAdvertisement placement complianceVSAvoidRule enforcement complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system introduces an intermediary automated evaluation layer that checks advertisement placement against competitor exclusion rules before final placement. This intermediary scoring mechanism automatically identifies and prevents competitor co-placement without requiring complex manual rule checking, thereby ensuring compliance while managing complexity through automation

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11729437B1Systems and methods for content distribution between content breaks

Publication Date: 2023.08.15 WIDEORBIT LLC

AI summary

Systems, methods, and articles for optimizing the placement of content, such as advertisements, within content breaks. The systems disclosed herein automatically identify the optimal allocation of content within breaks included in advertisement placement opportunities. This is achieved by scoring placed advertisements and determining whether a prospective advertisement can be placed within a break. The system may score the placed advertisements based on rules provided by a media content provider and multiple buyers.