Content Item Augmentation with Normalized Auction Scores
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Solution Overview
Problem
Current systems for presenting content items on networks, such as the Internet, face challenges in effectively selecting and displaying third-party content with format elements, as they lack efficient methods to normalize and prioritize content items based on auction scores and format elements, leading to suboptimal user interaction and revenue generation for content providers.
Innovation Solution
A method and system that receive requests for content items, determine augmented content items by combining original content with format elements, normalize auction scores based on these elements, and select the most suitable content items for display, ensuring optimal presentation and revenue generation by considering bid amounts and user interaction metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If content items are selected based on simple bid amounts without normalization, then the selection process is simple and fast, but the quality and relevance of selected content deteriorates due to inability to account for format element variations
Solution Approach 1:
The patent applies parameter changes by introducing normalization parameters that adjust auction scores based on format element characteristics. The system transforms raw bid amounts into normalized scores by applying format-specific adjustment factors, allowing accurate comparison across different content formats while maintaining a structured selection process.
Solution Approach 2:
The patent uses normalization parameters as intermediaries between bid amounts and final content selection. These parameters act as mediators that translate varying format element characteristics into comparable score adjustments, enabling the system to account for format differences without directly comparing heterogeneous content types.
2Productivity
If multiple format elements are added to content items, then the quality and user interaction potential improves, but the complexity of selecting and managing content items increases
Solution Approach 1:
The patent segments the content selection process into distinct components: original content items, format elements, augmentation combinations, and normalization parameters. This segmentation allows the system to manage complexity by treating each component separately while systematically combining them through structured augmentation and normalization processes.
Solution Approach 2:
The patent implements dynamics by allowing flexible combination of format elements with content items to create multiple augmented variations. The system dynamically generates and evaluates different content augmentations based on available format elements, enabling adaptive content selection that responds to user preferences and context without requiring manual configuration of each variation.
3Reliability
If auction scores are normalized based on format elements, then fair comparison between different content types is achieved, but the processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary action by pre-establishing normalization parameters for different format elements before the actual content selection process. These parameters are determined in advance based on format characteristics, allowing the system to quickly apply pre-computed adjustments during content selection without performing complex calculations in real-time, thus reducing processing time while maintaining fairness.
4Productivity
If the system considers both bid amounts and format elements in content selection, then revenue potential and user satisfaction improve, but the selection algorithm becomes more complex
Solution Approach 1:
The patent merges bid amounts and format element considerations into a unified auction score normalization framework. By combining these previously separate selection criteria into a single normalized scoring system, the algorithm simultaneously evaluates both commercial value (bids) and content quality (format elements) without requiring separate complex decision processes, thus managing overall algorithmic complexity.
Data Source
AI summary
According to at least one aspect, a method for providing content items augmented with format elements includes receiving a request for a content item and generating a plurality of augmented content items based on a plurality of original content items and a plurality of format elements. In a first stage a first content item associated with a first original content item is selected based on normalized auction scores of the content items. In a second stage, a set of content items associated with the first original content item is identified. Selection scores for the content items in the identified set are computed based on respective normalization parameters. A second content item is selected from the identified set based on the selection scores and a bid amount. The second content item is then provided for display to a user.