Link Match Score Prediction for Search Ranking Improvement
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Solution Overview
Problem
Existing systems lack optimal means for predicting, recommending, implementing, and monitoring successful website search engine ranking improvements through website linking relationships, making it difficult for website operators to enhance their search engine rankings effectively.
Innovation Solution
A method and tool for calculating a link match score that determines whether a website's search engine ranking would improve by entering a linking relationship with another website, based on IP address similarity, inbound links, PageRank, Open Directory Project categories, keywords, and popularity rankings, and implementing reciprocal linking relationships to improve search engine rankings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a website enters a linking relationship with another website to improve search engine ranking, then the search engine visibility and ranking are improved, but the system may be flagged as spam by search engines
Solution Approach 1:
The patent introduces a search engine ranking prediction system that acts as an intermediary between websites seeking to improve rankings and the actual linking relationships. This system calculates link match scores to predict ranking improvements before links are established, allowing websites to make informed decisions about which linking relationships to pursue, thereby improving rankings through strategic links rather than spammy mass-linking approaches
Solution Approach 2:
The patent implements preliminary analysis by calculating link match scores and predicting search engine ranking improvements before websites actually establish linking relationships. This preliminary action allows websites to identify high-value linking opportunities in advance, focus on quality links that are likely to improve rankings, and avoid entering into linking relationships that might be flagged as spam
2Adaptability or versatility
If manual methods are used to identify and establish linking relationships, then linking relationships can be established, but the time and effort required is excessive
Solution Approach 1:
The patent implements a self-service system where the search engine ranking prediction tool automatically identifies potential linking relationships, calculates link match scores, and predicts ranking improvements without requiring manual intervention. Website operators can simply input their website information and receive automated recommendations for high-value linking opportunities, eliminating the time-consuming manual research and evaluation process
Solution Approach 2:
The patent replaces the manual mechanical process of identifying and establishing linking relationships with an automated computational system. The system uses algorithms to calculate link match scores based on multiple factors including IP address similarity, inbound links, PageRank, and keywords, automatically predicting which linking relationships will improve search engine rankings, thereby substituting manual effort with automated mechanical computation
3Measurement precision
If websites establish reciprocal links to improve search engine ranking, then the search engine ranking is improved, but the complexity of managing multiple linking relationships increases
Solution Approach 1:
The patent implements a feedback mechanism where the search engine ranking prediction system continuously monitors and predicts the impact of linking relationships on search engine rankings. By providing feedback on which linking relationships are most effective, the system helps website operators prioritize and manage their link portfolios more efficiently, reducing the complexity of managing multiple reciprocal links by focusing on high-impact relationships
Data Source
AI summary
Methods of the present inventions allow for predicting website search engine rankings. An example method may comprise calculating a link match score indicating whether a search engine ranking for a first website having a first IP address would improve if the first website entered a linking relationship with a second website having a second IP address, wherein the link match score is a function of whether the first IP address is similar to the second IP address.


