Automated Ad Message Generation from Model Web Pages
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Solution Overview
Problem
The generation of rich electronic advertising messages requires specialized expertise and significant effort, limiting their availability to a small number of well-funded advertisers, making it difficult for a wider population to create effective advertising.
Innovation Solution
A software facility that automatically generates electronic advertising messages by extracting elements such as background and text colors, and rich media from an existing web page, allowing users to modify the generated messages without extensive expertise, and enabling them to be presented by publishers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If rich electronic advertising messages are manually created with specialized expertise, then the quality and visual appeal of advertising messages are improved, but the complexity and effort required to generate them increases significantly
Solution Approach 1:
The system automatically extracts visual elements (colors, fonts, images, layout) from an existing model web page and copies them to generate advertising messages. This eliminates the need for manual design expertise while preserving the visual quality and style of the original page, resolving the contradiction between high-quality output and low generation complexity
Solution Approach 2:
The advertising message generation system performs automatic extraction and assembly of visual elements from the model web page without requiring human intervention for design decisions. The system serves itself by autonomously completing the entire generation process, from element extraction to final message assembly, significantly reducing the effort and expertise required
2Manufacturing precision
If rich electronic advertising messages are manually created with specialized expertise, then the visual appeal and effectiveness of advertising messages are improved, but the time and effort required to generate them increases significantly
Solution Approach 1:
The system performs preliminary extraction of visual elements from the model web page in advance, storing them for reuse in advertising message generation. This preliminary action captures all necessary visual data (colors, fonts, images, layout structures) before the actual advertising message creation, enabling rapid generation while maintaining high visual quality
Solution Approach 2:
The system copies visual elements directly from the model web page to the advertising message, preserving the original visual appeal without requiring time-consuming manual redesign. This copying process maintains aesthetic quality while dramatically reducing the time required to create effective advertising messages
3Manufacturing precision
If rich electronic advertising messages are manually created, then the quality of advertising messages is improved, but the accessibility to a wider population of advertisers decreases
Solution Approach 1:
The system enables advertisers to generate high-quality advertising messages autonomously by automatically extracting visual elements from their own web pages. This self-service capability eliminates the need for specialized design expertise, making quality advertising accessible to any advertiser with a web page, thereby significantly improving accessibility while maintaining quality
Solution Approach 2:
The system allows any advertiser to copy visual elements from their existing web page to create professional-quality advertising messages. This copying mechanism democratizes access to high-quality advertising by eliminating the need for specialized design skills, enabling a wider population of advertisers to create effective messages
Data Source
AI summary
Methods and systems for facilitating generation of electronic advertising messages based on model web pages. A visual content request is received that identifies a model web page. Source code is retrieved that includes patterns that can be matched to identify visual features of the model web page. Visual content information is provided to an advertising message generation service to construct advertising messages that include at least a portion of the identified visual features. Constructed advertising messages are received, including at least one modified advertising message that incorporates a user-selected image extracted from the model web page. The identified visual features of the model web page can include text format, text color, background color, images, and video sequences.