Website Quality Signal Generation for Search Ranking
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Solution Overview
Problem
The proliferation of websites on the internet, particularly blogs, has led to a challenge in ensuring that search results yield high-quality content, as many websites publish poorly drafted content or repost information, making it difficult for users to find reliable information quickly.
Innovation Solution
A system that associates quality ratings with websites, identifies relationships between these ratings and signals, and applies a model to generate calculated quality ratings for unrated websites, allowing for the filtering and ranking of search results based on quality, thereby improving user satisfaction and reducing the need for human evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of websites is increased to provide more content options, then the quantity of information available improves, but the quality of search results deteriorates due to inclusion of poorly drafted content
Solution Approach 1:
The patent extracts and removes low-quality websites from search results by implementing a quality rating system that identifies and filters out poorly drafted content, reposts, and spam, while maintaining access to the broader web ecosystem
Solution Approach 2:
The patent introduces an intermediary quality rating system that acts as a mediator between the vast number of websites and search results, using automated signals and human raters to evaluate and rank website quality without requiring users to manually assess each site
2Loss of time
If automated quality rating systems are implemented to filter websites, then the time required to evaluate websites is reduced, but the precision of quality assessment deteriorates compared to human evaluation
Solution Approach 1:
The patent merges automated quality signals (such as website metrics, content analysis, and user behavior data) with human rater evaluations to create a hybrid quality rating system that combines the speed of automation with the judgment accuracy of human assessors
Solution Approach 2:
The patent implements feedback mechanisms where human rater evaluations are used to train and refine automated quality assessment algorithms, creating a continuous improvement loop that enhances precision over time while maintaining efficiency
3Reliability
If comprehensive quality evaluation is performed on all websites, then the quality of search results improves, but the complexity and cost of the evaluation system increases
Solution Approach 1:
The patent segments the website evaluation process into multiple tiers and levels, applying different evaluation depths to different websites based on initial quality signals, allowing comprehensive evaluation of high-priority sites while using lighter assessment for others
Solution Approach 2:
The patent applies partial evaluation action by focusing comprehensive quality assessment on websites that meet certain criteria or appear in search results, rather than evaluating all websites equally, thereby reducing overall system complexity while maintaining quality where it matters most
Data Source
AI summary
Systems and methods relating to website quality rating are disclosed. Websites are rated, relationships between ratings and website signals are identified, models are generated and modeled ratings are assigned to unrated websites by applying the models to the website signals of the unrated websites.