Active Search Results Ranking via Promoter Activity Tracking
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Solution Overview
Problem
Current search engine algorithms fail to accurately rank websites based on their relevance and activity, often presenting outdated or unsupported websites in search results, regardless of their keyword relevance, due to the reliance on sponsored models or organic search methods that do not account for a website's maintenance and support status.
Innovation Solution
The system tracks and records activities associated with website promoters, calculating a Total Activity Weight to adjust website rankings in search results, ensuring that only current and well-maintained websites with relevant content are prioritized, using Active Search Results (ASR) technology that combines keyword relevance scores with activity metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If search engines use traditional organic or sponsored ranking models, then websites can be indexed and displayed based on keyword relevance or payment, but outdated and unsupported websites appear in search results
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and detecting website promoter activities (such as content updates, link maintenance, and support actions) before generating search results. This advance detection allows the system to identify actively maintained websites and prioritize them in rankings, preventing outdated content from appearing in search results.
Solution Approach 2:
The system implements feedback mechanisms by tracking promoter activities and using this information to dynamically adjust website rankings. The detected activity data feeds back into the ranking algorithm, creating a continuous loop where actively maintained websites receive higher visibility, which in turn encourages continued maintenance and updates.
2Measurement precision
If search engines rely solely on keyword relevance scoring, then websites with matching keywords rank highly, but websites without recent maintenance or support also appear
Solution Approach 1:
The system merges keyword relevance scoring with promoter activity detection into a unified ranking mechanism. Both factors are considered simultaneously, where websites must not only have relevant keywords but also demonstrate active maintenance through detected promoter actions. This combination ensures that search results reflect both content relevance and current website health.
3Productivity
If search engines use sponsored result models, then websites can pay for higher visibility, but keyword-irrelevant content may appear in top results
Solution Approach 1:
The system introduces promoter activity detection as an intermediary factor between sponsored payments and final ranking display. Even websites that pay for sponsorship must pass the activity threshold, ensuring that only actively maintained websites achieve high visibility. This intermediary layer prevents keyword-irrelevant or outdated content from dominating search results regardless of payment status.
Data Source
AI summary
Systems and methods for storing data regarding activities of a person and/or people associated with a website that is indexed in a search engine. Data regarding such activities is used to calculate a weighting factor that is combined with a relevance score for the website. The combined weighting factor and relevance score influences the relative position of the website among other websites in search results.