Signals and developing an associated score value. Basically, when an article page on a 1000 Mobile Phone Numbers health topic has a certain range of criteria signals such as pagerank, plus content layout and similar type amount, plus some inlink pagerank, plus ctr , plus user reviews - then google could apply the calculated quality score to the page without anyone manually 1000 Mobile Phone Numbers reviewing it. It seems likely that google has developed some of these templates for many different types of pages.The reason for thinking that google might incorporate machine learning into this sequence is that.
It might come up with quality scoring relationships in the data that aren't simple flips 1000 Mobile Phone Numbers that they manually set with different weights. Instead of clumsily defining a weight for a particular signal (e.G. Saying that a health article of a certain quality level should have a minimum pagerank of x and a minimum number of links, etc.), with l machine learning, the 1000 Mobile Phone Numbers system could identify more complex relationships (like, assign a certain quality score if pagerank is n to nn, ctr is x to xx, associated with a specific layout type).The patent describes this possibility:“in some implementations, the model can be derived from website signals and website quality ratings using a machine learning subsystem t