Feed-Based Ad Generation Server for Real-Time Content Updates
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Solution Overview
Problem
Conventional online advertising methods are ineffective for content providers with frequently updated content, as they fail to efficiently drive traffic to websites in real time.
Innovation Solution
A system and method for generating feed-based advertisements using data feeds, which allows for automated and efficient creation of advertisements that accurately represent changing content, involving a server computer that receives data feeds and generates advertisements for user devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional online advertising methods are used, then advertisements can be served to users, but they fail to effectively drive traffic to websites with frequently updated content in real time
Solution Approach 1:
The system pre-configures advertisement templates and structures before content is published. When new content is added to the website, the system automatically generates advertisements using the pre-established templates, eliminating the need for manual ad creation and enabling real-time responsiveness to content updates
Solution Approach 2:
The advertisement generation system operates autonomously by automatically parsing website content, selecting relevant articles, and generating advertisements without human intervention. The system self-updates advertisements whenever content changes, maintaining real-time effectiveness without requiring manual monitoring or intervention
2Adaptability or versatility
If traditional online advertising techniques are used, then advertisements can be displayed, but they are not well-suited for content that is continuously being updated
Solution Approach 1:
The system continuously monitors website content updates and automatically adjusts advertisements accordingly. When new content is detected, the system parses the content, identifies relevant articles, and generates updated advertisements that reflect current content, ensuring continuous adaptability and relevance
Solution Approach 2:
The advertisement system transitions from static pre-programmed ads to dynamic content-driven advertisements. The system automatically adapts ad content based on real-time website updates, making advertisements flexible and responsive to changing content without requiring manual reconfiguration
3Manufacturing precision
If manual advertisement creation is used, then advertisements can be customized, but it takes significant time to create and update them
Solution Approach 1:
The system uses template-based advertisement generation where pre-defined ad structures are automatically populated with content from the website. This copying approach maintains customization through templates while eliminating manual creation time, as the system automatically extracts and inserts content without human intervention
Solution Approach 2:
The system replaces manual mechanical ad creation processes with automated computer-based generation. Instead of manually writing and updating advertisements, the system uses automated parsing, selection, and generation algorithms that instantly create customized ads based on website content, dramatically reducing creation time while maintaining precision
Data Source
AI summary
A server computer receives data indicating a data feed to use to create a feed-based advertisement to represent content, which is to be advertised, of a content provider. The server computer receives the data feed that is associated with the content to be advertised and generates the feed-based advertisement using one or more data elements associated with an item in the data feed. The server computer provides the feed-based advertisement to a user device.