Ad Auction Quality Score Calculation for Bandwidth and Size
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Solution Overview
Problem
Existing content item selection methods in auctions fail to provide relevant content to users due to inadequate consideration of factors such as loading speed, bandwidth, and content item size, leading to suboptimal user experiences.
Innovation Solution
A method and system that calculate a quality score for content items based on loading speed, bandwidth, and size, and use this score to select and present content items to users, ensuring relevance and optimal user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content items are selected based on traditional auction methods without considering loading speed, bandwidth, and size, then the auction process remains simple, but the relevance and user experience of displayed content deteriorates
Solution Approach 1:
The patent changes the parameters used in content selection from traditional bid-based metrics to include loading speed, bandwidth, and content size. By incorporating these additional parameters into the quality score calculation, the system achieves more reliable content relevance while managing the increased calculation complexity through structured evaluation frameworks.
2Quantity of substance
If content items with larger sizes are served to users, then more information can be provided, but the loading speed and user experience deteriorate for users with limited bandwidth
Solution Approach 1:
The patent dynamically adjusts content selection parameters based on user bandwidth and loading speed characteristics. The quality score calculation incorporates bandwidth and size factors to determine optimal content delivery, balancing information quantity with loading performance according to individual user conditions.
Solution Approach 2:
The system dynamically adapts content selection based on real-time user conditions including bandwidth and loading speed. The quality score is calculated dynamically for each content item based on current user parameters, allowing the system to optimize the balance between information quantity and loading speed for each individual user scenario.
3Measurement precision
If the quality score incorporates multiple factors including loading speed, bandwidth, and size, then content selection accuracy improves, but the computation time and processing complexity increase
Solution Approach 1:
The patent structures the quality score calculation to incorporate multiple parameters (loading speed, bandwidth, size) in a systematic manner. By organizing the evaluation into defined parameter categories with specific weighting mechanisms, the system achieves high measurement precision while managing computation time through structured processing frameworks.
Data Source
AI summary
A method for providing a content item for display based on a relationship between a loading speed of a web page, a bandwidth of a channel between a content source and a device, and a size of the content item including receiving, from a server, a request to provide a content item for display at a device. The method further includes calculating, by one or more processors, a quality score for the content item based on a loading speed of a web page, a bandwidth of a channel between a content source and the device, and a size of the content item. The method also includes, based on the quality score, selecting the content item for presentation on the device.