In this video I analyze documents from the DOJ vs. Google trial, revealing key insights into Google's ranking signals. The documents indicate that while PageRank is still a factor, Google's algorithms are increasingly relying on signals from deep learning models, like RankEmbed BERT, to understand content and its quality.
The article clarifies that clicks aren't a direct ranking factor, but are stored and used as signals for systems such as Navboost. Furthermore, it confirms that Google utilizes user data, including visits from Chrome, as a popularity signal to influence how often it crawls a page.
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