Hierarchical Taxonomy Index for Contextual Content Delivery
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Solution Overview
Problem
Existing content delivery systems fail to provide optimally targeted secondary content due to inaccurate contextual information, leading to inappropriate content distribution alongside primary content.
Innovation Solution
A content delivery system that analyzes primary content to extract detailed contextual information, using a hierarchical taxonomy index to correlate primary and secondary content, ensuring accurate and relevant secondary content delivery based on user characteristics and context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If content publishers provide simple contextual tags (e.g., 'news' or cloud tags) to aid search engines, then search engine functionality is improved, but the accuracy and detail of content context information deteriorates, making it insufficient for distributing appropriate secondary content
Solution Approach 1:
The system performs preliminary text analysis of primary content to extract contextual terms and correlate them with an index before secondary content delivery is needed. This advance processing creates a ready-to-use correlation map between primary content and relevant secondary content, eliminating the need for complex real-time analysis when delivery is required.
Solution Approach 2:
The patent introduces an index as an intermediary structure that bridges primary content and secondary content. The index contains pre-analyzed contextual terms from primary content and their correlations with secondary content, serving as a mediator that eliminates the need for direct complex matching between primary and secondary content at delivery time.
2Reliability
If the system uses broad contextual tags for secondary content distribution, then content delivery simplicity is maintained, but content relevance to user context deteriorates, resulting in inappropriate secondary content being displayed
Solution Approach 1:
The system performs preliminary correlation analysis between primary content text and secondary content, storing these correlations in an index before delivery is needed. This advance preparation ensures high reliability of content relevance while maintaining delivery efficiency, as the correlation work is done beforehand rather than in real-time.
Solution Approach 2:
The system creates a textual representation (copy) of the primary content's context by extracting and indexing key terms. This textual copy serves as a surrogate for the actual primary content, allowing efficient matching with secondary content based on the copied contextual information rather than analyzing the full primary content each time.
3Measurement precision
If the system analyzes individual web pages to gain detailed contextual information, then content context accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs text analysis and contextual term extraction in advance, before secondary content delivery is requested. By doing the computationally intensive analysis work beforehand and storing results in an index, the system achieves high contextual accuracy without incurring processing delays at the time of content delivery.
Data Source
AI summary
The present technology is directed to improving the conversion rate of invitational content that is provided to the user of an interactive, content-receiving-and-displaying device. The content of a large number of primary-content sources is analyzed and keyword and/or other context-providing information is extracted from the primary-content sources. The keyword and/or other context-providing information is used to index the primary-content sources into an index according to a hierarchical taxonomy; the hierarchical taxonometric index is used to identify primary-content sources with which a given item of invitational content correlates; and the given item of invitational content is delivered to a user in response to the user accessing a primary-content source with which the given item of invitational content correlates.