Client-Side Ad Relevance via Document Analysis
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Solution Overview
Problem
Existing advertising methods on the web face challenges in delivering relevant ads, leading to inefficiencies in ad targeting and revenue generation for advertisers and website hosts, while also raising privacy concerns and resource usage issues with client-side advertising software.
Innovation Solution
A client-side application supports the serving of content-relevant ads by sending document information to a content-relevant ad server, combining ad content with documents in various formats and positions, such as pop-ups or browser chrome, to enhance user experience and ad relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional web advertising methods are used to reach large audiences, then ad coverage is improved, but ad relevance deteriorates
Solution Approach 1:
A client-side application acts as an intermediary between the web browser and advertising servers. This intermediary analyzes document content locally and selectively requests relevant advertisements, thereby maintaining both broad ad coverage and high ad relevance without requiring changes to the core advertising infrastructure.
2Manufacturing precision
If client-side advertising software is used to improve ad targeting, then ad relevance is improved, but privacy concerns and resource usage increase
Solution Approach 1:
The patent extracts only the essential document information needed for ad relevance determination and processes it locally on the client device. By taking out only necessary data elements and keeping processing local, the system maintains ad relevance while minimizing privacy intrusion and resource consumption.
3Manufacturing precision
If client-side advertising software is used to improve ad targeting, then ad relevance is improved, but resource usage increases
Solution Approach 1:
The client-side application performs partial content analysis by extracting only key document elements necessary for ad matching rather than analyzing entire documents. This partial action approach achieves sufficient ad relevance while significantly reducing computational resources and energy consumption.
Data Source
AI summary
A client-side application (such as a browser, a browser plug-in, a browser toolbar plug-in, etc. on an end user's computer) is used to support the serving of content-relevant ads to the client device. The client-side application may provide such support by sending document information (such as a document identifier, document content, content relevance information, etc.) to a content ad server. The client-side application may also be used to combine content of the document and the content-relevant ads. For example, the client-side application may combine content of the document and the ads in a window (e.g., in a browser window), may provide the ads in a window above, below, adjacent to a document window, may provide the ads in “chrome” of the browser, etc.


