We can look at some evidence for this claim. A while ago we looked at Google’s “Page Quality” patent and how it uses user interaction data to generate a ranking score.
In a situation where a website is brand new, users have not interacted with the content on the SERP. Therefore, Google does not have access to the quality of the content. However, another clever hungary phone number data patent covers this situation, namely Predicting Site Quality . To simplify: for new websites, the quality score is predicted by first obtaining the relative frequency for each of the different phrases found on the new website. These measures are then mapped to a previously generated phrase model built from the quality scores created from previously ranked pages.
If would mean that many new websites would be ranked based on a “first guess” with quality metrics built into the algorithm. Later, the ranking is refined based on user interaction data. In practice, we have noticed that Google often increases the ranking of websites for what appears to be a “testing period.”
Our theory was that at that time, measurements were being taken to see if user behavior matched Google's predictions. If not, traffic dropped as quickly as it rose. When everything was working properly, it continued to maintain a healthy position on the SERP.
Many Google patents contain references to "implicit user feedback," including this statement by AJ Kohn: "The rating subsystem may include a rating modifier that uses implicit user feedback to re-evaluate search results to improve the final rating presented to the user."
Google were to continue using this tactic
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