Structured Informational Link Annotations for Content Delivery
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Solution Overview
Problem
Current methods for presenting content on the internet, such as web pages and search results, lack efficiency in associating relevant informational pages with content items and queries, leading to unpredictable ad impressions and lower return on investment for content sponsors.
Innovation Solution
A system that identifies entities and page types associated with content items, locates relevant informational pages, classifies them based on page types, and stores associations between content items, queries, and pages to provide structured annotations that enhance user experience and conversion funnel progression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content items are presented without structured associations to informational pages and queries, then the system complexity is reduced, but the relevance and predictability of content delivery deteriorates
Solution Approach 1:
The system performs preliminary classification of informational pages into predetermined categories (e.g., product pages, service pages, informational pages) before content delivery. This advance organization enables predictable content associations without adding runtime complexity, as the classification structure is established beforehand and can be efficiently queried during content delivery.
Solution Approach 2:
The patent introduces an intermediary classification layer between content items and informational pages. This intermediary structure uses predetermined categories and queries as mediators to bridge content sponsors' items with relevant informational pages, making the associations systematic and predictable while managing complexity through standardized classification schemas.
2Productivity
If relevant informational pages are identified and associated with content items, then user engagement and conversion increase, but the processing time and computational resources increase
Solution Approach 1:
Informational pages are classified into predetermined categories in advance, before content delivery requests are processed. This preliminary classification allows the system to quickly retrieve and associate relevant pages with content items during runtime, reducing processing time while maintaining high user engagement and conversion rates.
Solution Approach 2:
The patent segments informational pages into distinct predetermined categories (product pages, service pages, informational pages, etc.). This segmentation allows the system to efficiently process and retrieve only the relevant category of pages for each content item, reducing the overall processing time compared to analyzing all pages without categorization.
3Adaptability or versatility
If multiple predetermined categories of informational pages are maintained, then the versatility and relevance of content associations improve, but the data structure complexity increases
Solution Approach 1:
The patent implements a universal predetermined classification schema that can accommodate multiple types of informational pages (product, service, informational, etc.) under a unified structure. This universal framework provides versatility for different content associations while managing data structure complexity through standardized, reusable category definitions that can be applied across various content types.
4Measurement precision
If queries are used as selection criteria for delivering content items, then the precision of content matching improves, but the complexity of determining relevant queries increases
Solution Approach 1:
Queries are predetermined and associated with informational page categories in advance, before content delivery occurs. This preliminary query establishment allows the system to use simple matching operations during runtime rather than performing complex query analysis, thereby achieving high content matching precision without excessive computational complexity during delivery.
Data Source
AI summary
Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium. A method includes: for each of a plurality of content items in an inventory of content items: identifying an entity associated with the content item and a plurality of page types for a vertical associated with a product or service described in the content item; locating a plurality of informational pages associated with the entity; classifying each informational page based on the page types; identifying queries associated with the entity, wherein a query is used as a selection criteria for delivering one or more content items associated with the entity; for each informational page of the plurality of informational pages determining relevant queries from the identified queries; and storing in a data structure an association between the content item, data associated with the relevant queries and associated informational pages.