Automated Image Ad Generation via On-Demand Retrieval

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Solution Overview

Problem

Existing advertisement generation systems lack efficiency in selecting and integrating relevant images from advertiser web servers, often requiring manual effort and storage of images, which can lead to copyright issues and suboptimal user engagement.

Innovation Solution

An automated system that retrieves images from advertiser web servers, processes them using an enhancement engine and ranking engine to select the most relevant image, integrating it into advertisements, and serves them to client devices, utilizing machine learning for image selection and optimization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual image selection and storage is used in advertisement generation, then image relevance can be controlled, but system efficiency decreases and storage requirements increase

Engineering Contradiction:
Improveadvertisement generation efficiencyVSAvoidimage storage requirements
Core Design Contradiction:
ProductivityVSQuantity of substance

Solution Approach 1:

The patent extracts only the necessary image data from advertiser web servers on-demand, rather than storing entire image libraries. The system retrieves specific images only when needed for advertisement generation, eliminating the need for extensive pre-stored image repositories while maintaining efficient advertisement creation.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system performs preliminary setup by establishing connections and protocols with advertiser web servers in advance. Image retrieval URLs and access mechanisms are pre-configured, allowing rapid on-demand image extraction without manual intervention when advertisements need to be generated.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If images are pre-stored for advertisement use, then image availability is improved, but copyright issues and storage costs increase

Engineering Contradiction:
Improveimage availabilityVSAvoidcopyright issues
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system enables advertiser web servers to serve their own images directly through automated retrieval processes. Advertiser-provided image URLs are used to fetch images on-demand, allowing the advertising platform to display images without taking ownership or storing them, thereby avoiding copyright infringement while ensuring image availability.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent introduces an intermediary image retrieval mechanism that acts as a bridge between advertiser web servers and the advertisement display system. Images are fetched through this intermediary layer on-demand, ensuring that the advertising platform never stores or owns the images, thus eliminating copyright issues while maintaining reliable image delivery.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Adaptability or versatility

If automated image retrieval and integration is implemented, then advertisement enhancement is improved, but system complexity increases

Engineering Contradiction:
Improveadvertisement enhancement capabilityVSAvoidsystem architecture complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a universal image retrieval and integration module that handles multiple advertisement formats and image types through a single automated system. This multi-functional component can fetch, process, and integrate images across different advertisement contexts without requiring separate manual processes for each case, enhancing adaptability while managing complexity through consolidation.

Inventive Principle:
Principle #6Universality (Multi-functionality)

4Manufacturing precision

If manual image selection is used, then image quality control is maintained, but time consumption increases

Engineering Contradiction:
Improveimage selection qualityVSAvoidimage selection time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The system incorporates automated feedback mechanisms including image ranking algorithms and relevance scoring that evaluate retrieved images based on advertisement context, user preferences, and performance metrics. This feedback-driven approach automatically selects high-quality images without manual intervention, maintaining image selection quality while eliminating time consumption associated with manual review.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11798042B2Automated image ads
Publication Date: 2023.10.24 YAHOO AD TECH LLC
  • US11798042B2 patent drawing
  • US11798042B2 patent drawing
  • US11798042B2 patent drawing

AI summary

A system for generating an advertisement is provided. The system may receive an advertisement request from a client device and select an advertisement from a database in response to the advertisement request. The system may identify an advertiser web server associated with the advertisement, for example a landing page. The system may retrieve a picture from the advertiser web server and integrate the picture with the advertisement to generate an enhanced advertisement. The system may serve the enhanced advertisement to the client device.