//Neural Correspondence of Google versus RankBrain: How Does Google Use Every Search
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Neural Correspondence of Google versus RankBrain: How Does Google Use Every Search

 

 

Recently, We Hear More About Google's Neural Correspondence, But The Truth Is That We do not know much about Google on what neural the correspondence is and how Google uses it.

Google answered several questions and posted these responses on the Twitter account @SearchLiaison to try to clarify what is the neural match and how it differs. RankBrain .

Definition of Neural Correspondence Google explains "Neural matching is an AI-based system that Google began using in 2018 primarily to understand how words are related to concepts. "

" It's like a super synonymous system. Synonyms are words that are closely related to other words, "added Google.

The first time Liason, Google Search member, talked about this, it was in a tweet about his 20th birthday in September. Sullivan said that a "big change in research" is the ability to understand synonyms. "The search for people often differs from the information people write about solutions."

Sullivan said Google has been using neural matching for a few months, so since late spring or early summer 2018.

In recent months, Google has been using the method Neural Correspondence -AI to better associate words with concepts. Super synonyms, in a way, and impacting 30% of requests. I do not know what "soap opera effect" is to look for it? We can understand better. pic.twitter.com/Qrwp5hKFNz

– Danny Sullivan (@dannysullivan) 24th September 2018

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. Google has said that it makes it easier to link words to searches. The example that Google has given us during a neural match helps to understand that the search for "why does my TV look strange" is it related to the concept of "d & # 39; "Soap opera effect"? In this case, Google is now able to return pages on the soap opera "Even if the exact words are not used," said Google.

How well is neural matching used? Google said in September 2018 that neural matching was affecting about 30% of the total. queries. We asked Google if it had increased, but we did not receive an update.

What is RankBrain? Is not this the same? In 2016, Google told us that RankBrain (see our RankBrain FAQ ) is also an AI-based system and machine learning that helps Google understand queries.

Google has indicated a good way of thinking about RankBrain. It is as an AI-based system that he started using in 2016 mainly to understand how words are related to concepts. "It's like a super synonymous system. Synonyms are words closely related to other words.

So what is the difference between the correspondence between Neural and RankBrain? Google has expressed it as follows:

RankBrain helps Google to better link the pages to the Natural Correspondence allows Google to better associate words with research

Why It's Important The truth is that there is not much that search marketing can do to optimize its search functioning for RankBrain, as we said in 2016 The same thing seems to apply to neuronal matching, it does not seem that you can do anything special to do better here. This is more of a better understanding of the queries and content of a page on Google currently than it currently does.

That said, this seems to indicate that search engine marketers They have less to worry about making sure that specific keywords appear on their page. pages because Google is starting to better understand the words you naturally use on your pages and match them to queries.

We asked Google when he had additional recommendations on neuronal matching and RankBrain, and his advice has not changed. Simply create useful and high quality content.

About the Author

you can crack google search by searching for compare the market - Neural Correspondence of Google versus RankBrain: How Does Google Use Every Search

Barry Schwartz is the editor of Land News, owner of RustyBrick [RustenBrick] ]. Online consulting company based in New York. He also directs Search Engine Roundtable a popular research blog on topics related to SEM