Google appears to have created such models for several different

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Types of pages. multiple web pages quality evaluator scoring Quality Analysis Server Identify the relationship between quality score and website signals and create a model that represents that relationship Generate a model associated with a quality score The model is compared to similar pages and assigned a quality score Quality score affects ranking in search results The reason Google seems to be incorporating machine learning technology into this process is because it is tied to the relevance of quality scores in the data. This data is not a simple toggle to manually set different weights. It's not a tedious process of weighting certain signals (for example, a health topic with a certain quality score level has at least a page rank of X and has at least this many links). (not a thing). Using machine learning techniques, rating systems can identify more complex relationships (e.g. page rank from N to NN, CTR from X to XX, a certain type of layout, or a certain quality.

Assigning a score). The contents of the patent point to this possibility. The model originates from website quality assessment using a machine learning subsystem that implements website signals and support vector regression. Essentially, this creates a hierarchy of machine learning. Models are used to identify all pages in a India Phone Number common hierarchy, calculate quality scores, and apply homogeneous or similar scores to pages of a homogeneous class. We don't think it matters much whether Google inputs data directly from the page in question or whether those quality raters' ratings are incorporated into the machine learning system.





Google uses "models" of different types of pages, and you can see how the quality ratings calculated them and manually adjust their weightings. But given the enormous firepower that Google has and can use at will, I don't think it makes any sense at all. In fact, many SEO analysts, like Eric Enzi and Mark Traphagan (external article: Why Google Uses Machine Learning in Search – Here's Why #176 ), believe that Google uses machine learning techniques to rank content. Google has also announced (external article: FAQ: All about the Google RankBrain algorithm ) that it is not only used for query interpretation.