Another example: a while ago, Google published a blog post about how they’re using machine learning to better understand searcher intent:
In that post, they describe a technique called “Word2vec” that converts keywords into concepts.
For example, Google said the technology "understands that Paris is related to France in the same way that Berlin is to Germany capital and country, but not that Madrid is related to Italy."
Country and capital
Although this article doesn’t talk about RankBrain morocco mobile database specifically, it’s possible that RankBrain uses similar techniques.
In short: Google RankBrain does more than simple keyword matching. It translates your search terms into concepts... and tries to find pages that cover that concept.
In Chapter 3, I’ll show you how this changes the way we should do SEO keyword research. But first, let’s cover the most interesting thing RankBrain does…
How RankBrain measures user satisfaction
Of course, RankBrain can try to understand new keywords. It can even adjust the algorithm on its own.
But the big question is: once RankBrain displays a set of results, how does it know if they are actually good?
RankBrain uses UX signals
In other words, RankBrain shows you a set of search results that they think you’ll like. If a lot of people like a particular page in the results, they’ll boost that page’s ranking.