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Functionality of AI as a learning system

Posted: Sat Dec 21, 2024 4:32 am
by rosebaby37123
But before we learn how to optimize your site or blog so that RankBrain positions it correctly, let's look at the factors it takes into account when converting words into mathematical entities or vectors:

 

Anchor text of the link on the pages.
Time for consultations.
Ads appearing in search results.
Domain related to the pages shown.
Number of sessions initiated by the user before finding what they were looking for.
 

Furthermore, given the nature of this algorithm, due to its data collection and analysis, it cannot generate penalties for the pages, but it does refine the results more and more to show what the user is really looking for.

That is why the content you generate must also be oriented towards this, and that “artificial intuition” should be on your side.

In this way, we want to give you some recommendations so that your content is recognized by RankBrain and improve your web positioning below.

 

Create valuable content for more specific audiences . This is one of the great advantages of RankBrain: you will be able to target the audience that really interests you, because they will be the ones searching for you on Google. This way, if, for example, you own a digital marketing agency and you want to position yourself as a company that helps SMEs grow, you can write an article aimed at this: “How to improve the SEO of a café’s website.”
Start thinking in local expressions and colloquial terms , and RankBrain will understand and hit the nail on the head.
Make your content longer and more detailed. RankBrain uses hospitals email list co-occurrence to support users who are searching more specifically by repeating words or groups of words that appear in the article. This way, the results will be synonymous, so you can use them without sounding redundant.
Add studies, statistical references, success stories , etc. RankBrain will read between the lines and better recognize the user's search intention.
 

Artificial intelligence research has been going on for more than 60 years, but it has been useless to find a unified definition of the term; it is even difficult to define the term “intelligence” on its own.

This research began at the Dartmouth Conference in 1956, where scientists such as John McCarthy, Marvin Minsky, Nathaniel Rochester and Claude Shannon, at the American Dartmouth College in 1955, mentioned terms such as computers, neural networks, machine learning, etc.

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For his part, it is McCarthy who promotes the term artificial intelligence in order to give a center to all these concepts mentioned.

In the so-called Turing Test, pioneered by the computer scientist of the same name in 1950, a conversation was conducted with two interlocutors using only a keyboard and a monitor so as to have no visual or auditory contact.

The idea was that one interlocutor would be human and the other would be a machine that tries to convince him that he could be a thinking being.

If the test examiner cannot discern which of the interlocutors is the machine, the result would be satisfactory. And it was achieved!

However, this test was passed by a chatbot named Eugene Goostman in 2014, which raised a lot of controversy among experts.