URL Rank Variability Analysis via Multi-Source Search Data
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Solution Overview
Problem
Search engines' ranking systems exhibit variability due to factors like geographically dispersed data centers, user location, and personalized search results, making it difficult to provide a stable and comprehensive analysis of a URL's rank for a search query.
Innovation Solution
A system and method that determine the rank and variability of a URL by receiving search queries, sending them to multiple search engines, analyzing the resulting sets, and generating reports that include both the rank and variability, accounting for data center replication, location-based differences, and personalized search histories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a search engine uses multiple data centers dispersed geographically to provide comprehensive search coverage, then the search engine can serve users worldwide with localized results, but the rank of a URL becomes variable and unstable across different locations and times
Solution Approach 1:
The patent segments the search engine into multiple independent data centers distributed across different geographic locations. Each data center operates independently and can return different rank results for the same URL depending on its location and local conditions, thereby explaining the variability in URL ranks across different search engines while maintaining comprehensive global coverage
2Adaptability or versatility
If a search engine implements personalized search results based on user location and history, then the search results become more relevant to individual users, but the URL rank becomes difficult to predict and analyze
Solution Approach 1:
The patent applies local quality by recognizing that each data center has unique local characteristics including geographic location, user demographics, and search history. These local factors cause each data center to rank URLs differently, making it impossible to provide a single precise rank measurement while still providing highly relevant personalized results to each user
3Reliability
If a search engine updates its ranking algorithm frequently to improve search quality, then the search results become more accurate and relevant, but the URL rank becomes volatile and difficult to track
Solution Approach 1:
The patent embraces dynamics by accepting that search engine ranking algorithms are continuously evolving and changing. Rather than attempting to maintain stable ranks, the system dynamically tracks URL ranks across multiple data centers and time points, providing a comprehensive view of rank variability that reflects the living, changing nature of search algorithms while maintaining high search quality
Data Source
AI summary
A system and method for determining a rank of a URL for a search query. A processor is effective to receive a search query and a URL. The processor may send the search query to a search engine and receive at least a first and a second result set from the search engine. The processor may determine a rank of the URL for the search query based on the first and second result sets. The processor may determine a variability of the rank of the URL based on the first and second result sets and generate a report including the rank and the variability of the rank.