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Google RankBrain uses a machine learning technology called RankBrain to help deliver its search results. For Submitting Your Articles, you can email us at contact@newyorkersblog.com

Google uses a machine-learning AI system called “RankBrain” to help rank its search results. We wondered how it works and how it fits into Google’s overall ranking system. It is what we know from RankBrain.

The information covered under comes from three original causes and has been updated over time, with notes on updates. Here are those sources:

What is Google Rank Brain?

RankBrain is a machine learning (AI) algorithm that Google uses to rank search results. It also helps Google process and understand search queries.

What is Machine Learning?

Machine learning is where a computer learns to do something rather than being skilled by humans or following detailed programming.

What is Artificial Intelligence?

Artificial intelligence, or AI for quick, is where a processer can be just as intelligent as a human being, at least in the sense of gaining knowledge by teaching and building on what he knows and making new connections.

True AI only exists in science fiction novels, of course. AI refers to computer systems designed to learn and make connections.

How is AI different from machine learning? You may hear the two used interchangeably, or you may hear machine learning used to describe the type of AI approach used. In footings of RankBrain, it seems to us that they are pretty synonymous.

So is RankBrain the new way Google ranks search results?

No. RankBrain is part of Google’s general search “algorithm”, a computer program used to sort through the billions of sheets it knows and find those considered most relevant to particular queries.

What is Google’s search algorithm called?

For years, the general algorithm did not have a formal name. But in mid-2013, Google overhauled this algorithm and named it Hummingbird. It’s called Hummingbird, as we’ve reported in the past.

So RankBrain is part of Google’s Hummingbird search algorithm?

It is our understanding. Hummingbird is the general search algorithm, just like a car has a public engine. The engine can be made up of various parts, such as an oil filter, fuel pump, radiator, etc. Similarly, Hummingbird has several features, and RankBrain is one of the newer ones.

In particular, we know that RankBrain is part of Hummingbird’s global algorithm because the Bloomberg article clearly states that RankBrain does not handle all searches, as only the global algorithm would.

I thought Google’s algorithm was called “PageRank.”

PageRank is part of the general Hummingbird algorithm, which covers a specific way of crediting pages based on links from other pages pointing to them.

PageRank is special because it was the first name Google provided to one of the fragments of its ranking algorithm around the time the search engine started in 1998.

What about those “signals” that Google uses to rank?

Signals are things that Google uses to help determine how to rank web pages. For example, you will read the words on a web page, so the terms are a signal. If certain words are bold, that could be another sign you’re noticing. The calculations used in PageRank give a page a PageRank score which used as a signal. If a page is considered mobile-friendly, that’s another sign it’s saved.

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