Weighted Website Efficiency Score Calculation
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Solution Overview
Problem
Existing computing systems struggle to provide a comprehensive and objective measure of website efficiency, as user experience is influenced by varying load times and access frequencies of different webpages, leading to inconsistent performance.
Innovation Solution
A method is implemented to determine the efficiency of a website by identifying and weighting the access frequency and load times of individual webpages, combining these metrics to calculate an overall efficiency score, allowing for targeted remedial actions to improve performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual webpage load times are measured separately, then detailed performance data is obtained, but the overall website efficiency cannot be accurately assessed
Solution Approach 1:
The patent segments the website into individual webpages and measures each webpage's load time separately. This segmentation allows precise measurement of each component's performance while the system aggregates these measurements to determine overall website efficiency, resolving the contradiction between detailed measurement and comprehensive assessment.
Solution Approach 2:
The patent combines individual webpage efficiency measurements with their respective access frequencies to create a weighted overall efficiency score. This merging of segmented data with usage patterns provides a comprehensive website-level assessment that maintains the precision of individual measurements while achieving holistic evaluation.
2Ease of operation
If all webpages are treated equally in efficiency calculation, then simplicity is maintained, but the user experience impact of frequently accessed pages is not reflected
Solution Approach 1:
The patent applies local quality by differentiating the importance of different webpages based on their access frequencies. Frequently accessed pages are assigned higher weights in the efficiency calculation, while less accessed pages receive lower weights. This creates a non-uniform measurement approach that precisely reflects user experience impact while maintaining a systematic calculation method.
3Productivity
If website efficiency is measured without considering access frequency, then measurement simplicity is maintained, but the true user experience impact cannot be determined
Solution Approach 1:
The patent changes the measurement parameter from simple average load time to weighted average load time, where the weight is determined by access frequency. This parameter transformation maintains computational efficiency while dramatically improving the precision of user experience assessment by reflecting which pages matter most to users.
Data Source
AI summary
Determining the efficiency of a website. A method includes identifying a plurality of webpages for the website. The method further includes identifying how often each of the pages is accessed when the website is accessed as compared to other webpages in the plurality of webpages. The method further includes creating a weight, for each page, based on a measure of how often each of the pages is accessed when the website is accessed as compared to other webpages. The method further includes determining how efficiently each of the webpages loads. For the website, the method further includes determining an overall efficiency by combining the efficiencies of the individual webpages in the plurality of webpages, where each webpage's efficiency is combined into the overall efficiency according to the weight of the webpage.

