Digital Component Selection Scoring for Proportional Display
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Solution Overview
Problem
Existing techniques for selecting and providing digital components during content display often result in a biased selection towards digital components of shorter or longer durations, leading to an disproportionate representation of these components.
Innovation Solution
The method involves identifying digital components, determining their scores based on duration, position requirements, and availability within a slot, and selecting a set of digital components with the highest scores for proportional and equitable distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If digital components are selected based on maximizing total number of components or total duration, then selection efficiency is improved, but proportional representation of different duration components deteriorates
Solution Approach 1:
The patent transforms the selection criteria from simple count or duration maximization to a scoring system that incorporates multiple parameters including duration, position requirements, and availability. This parameter transformation enables the system to achieve both efficient selection and proportional representation by weighting different factors appropriately in the score calculation.
Solution Approach 2:
The scoring mechanism creates an equipotential selection process where digital components of different durations have equal opportunity to be selected based on their relative merits. The score normalization and ranking process ensures that components are selected proportionally rather than being biased toward shorter or longer durations, achieving fairness in the selection process.
2Productivity
If digital components of shorter or longer durations are favored, then slot filling efficiency is improved, but fairness and equity in representation deteriorates
Solution Approach 1:
The system incorporates feedback mechanisms through the scoring model that continuously considers the duration, position requirements, and availability of digital components. This feedback loop ensures that selection decisions are made objectively without bias toward shorter or longer durations, while still achieving efficient slot filling through the optimized score-based selection.
Solution Approach 2:
By changing the selection parameters to include weighted factors for duration, position requirements, and availability, the system eliminates selection bias while maintaining slot filling efficiency. The parameter transformation allows the system to achieve both efficiency and fairness simultaneously through the comprehensive scoring approach.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for the selection, provision and display of one or more digital components during display of content. Methods can include identifying a plurality of digital components that can be presented on the client device. A maximum number of digital components that can be presented in a slot of a content and the time duration of the slot is determined. For each digital component a score is generated based on the duration, a position requirement and the number of times the digital component is available for provision within the slot is generated. A first set of digital component is selected based on the scores and provided to the client device.