Search Result Augmentation for Content Relevance
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Solution Overview
Problem
Current content presentation systems fail to effectively integrate and enhance advertisements with relevant search results, leading to less engaging and less relevant content for users, which can result in lower user interactions and inconsistent user interface experiences.
Innovation Solution
A computer-implemented method that identifies search results responsive to a query, determines when to augment content items based on specific criteria, and modifies these items by incorporating information from search results, such as adding copy, synthesizing site links, or substituting content, to create more relevant and engaging augmented content items that are presented alongside search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If content items are presented without augmentation, then device complexity is reduced, but user interaction and engagement decrease
Solution Approach 1:
The system performs preliminary actions by identifying and storing relevant search result data before content presentation. When a content item is to be augmented, the system retrieves pre-identified search results and prepares augmentation data in advance, reducing real-time processing complexity while enhancing user interaction through relevant information integration.
Solution Approach 2:
The patent introduces an intermediary augmentation system that sits between the content delivery system and the user interface. This intermediary layer handles the complex task of integrating search results with content items, using heuristics and machine learning models to determine relevance and timing, thereby improving user interaction without burdening the core content delivery system.
2Loss of information
If content items are augmented with search results, then content relevance improves, but processing time increases
Solution Approach 1:
The system performs preliminary identification and filtering of search results that could potentially augment content items. By pre-processing and categorizing search result data before content delivery, the system reduces the time required for real-time augmentation while maintaining high content relevance through pre-selected relevant information.
Solution Approach 2:
The patent implements partial augmentation by selectively applying search result integration only to content items that benefit most from it, rather than augmenting all content. The system uses heuristics to identify candidate content items and applies augmentation only when relevance thresholds are met, reducing overall processing time while maintaining high relevance for augmented items.
3Ease of operation
If content items are augmented in real-time, then user engagement increases, but system resource consumption increases
Solution Approach 1:
The system applies real-time augmentation selectively rather than universally. It uses efficiency thresholds and heuristics to identify only those content items that would benefit significantly from augmentation, performing real-time processing only for selected candidates. This partial approach maintains high user engagement for augmented content while reducing overall system resource consumption.
Solution Approach 2:
The patent implements caching mechanisms that allow the system to serve augmented content from previously processed data. When similar content items or search results are encountered, the system retrieves pre-augmented versions from cache rather than performing full real-time augmentation, reducing resource consumption while maintaining user engagement through consistent, relevant content delivery.
4Stability of the object's composition
If augmentation is applied to all content items, then consistency improves, but processing complexity increases
Solution Approach 1:
The patent applies augmentation with local quality by using different augmentation strategies and thresholds for different content types, contexts, and user scenarios. Rather than applying a uniform augmentation process to all content items, the system adapts its augmentation approach based on content characteristics, search result relevance, and user context, achieving interface consistency through context-appropriate augmentation while reducing processing complexity.
Data Source
AI summary
Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. A query is received. Search results are identified that are responsive to the query. A content item is identified for presentation along with the search results. It is determined, based on one or more criteria, when the content item is to be augmented. When it is determined that the content item is to be augmented and after identifying the search results, the content item is augmented based at least in part on an entry in the search result. An augmented content item is created. The augmented content item is provided.