Google Bert: Google's new algorithm, how it affects B2B companies
Posted: Tue Dec 03, 2024 6:32 am
Google Bert: Google's new algorithm, how it affects B2B companies
There are many changes that Google constantly makes in its algorithms to classify and position web pages in its search engine. Over time, Google has made some major changes that you may have heard of, such as Panda, Penguin and Hommingbird. Well, just a few days ago, Google announced a new algorithm change, which they themselves have considered to be the most important update in five years. This new algorithm will directly affect those who work in SEO positioning, as well as companies and users themselves, who will notice how the results of their searches are more accurate.
Google has started to implement the BERT (Bidirectional Encoder hungary phone number list Representations from Transformers) algorithm model. BERT is an open-source neural network pre-trained by Google to more effectively perform natural language processing (NLP) , which is the way we express ourselves. Until now, Google analyzed word by word within the search phrase. But now, it will be able to relate each of those individual words and associate them to understand the context of the phrase that the user has used in their search.
BERT helps a machine understand what words in a sentence mean, but with all the nuances of the context. Until now, Google's search engine omitted connectors (prepositions, etc.), because they were not words with a meaning in themselves, but a simple preposition can change the context of a sentence and, consequently, the result of the search.
Google Search Vice President Pandu Nayak wrote on October 25: “With the latest advances from our team of researchers in the science of language understanding, made possible by machine learning, we are significantly improving the way w
Pandu Nayak himself provides a real-life example. Before BERT, the search “2019 travel from Brazil to the United States requires a visa” returned an article from the Washington Post about traveling to Brazil from the United States; the search engine did not understand the importance of the preposition “to” in the sentence. With BERT, the search engine returns as its first result the website of the American embassy in Brazil, specifically, a page about visas for Brazilian tourists:
pgr_bert
How can BERT affect B2B companies?
Google is rapidly improving at understanding natural language. When it comes to SEO optimization, companies must increasingly think like users and write content for them and not for their own company. This change is very important because Google is working to better understand the user's query and better match it with the most relevant results. In addition, it creates a significant adjustment in the SEO of companies, because 10% of all queries have been affected by this update and that is a big change in SEO.
There are many changes that Google constantly makes in its algorithms to classify and position web pages in its search engine. Over time, Google has made some major changes that you may have heard of, such as Panda, Penguin and Hommingbird. Well, just a few days ago, Google announced a new algorithm change, which they themselves have considered to be the most important update in five years. This new algorithm will directly affect those who work in SEO positioning, as well as companies and users themselves, who will notice how the results of their searches are more accurate.
Google has started to implement the BERT (Bidirectional Encoder hungary phone number list Representations from Transformers) algorithm model. BERT is an open-source neural network pre-trained by Google to more effectively perform natural language processing (NLP) , which is the way we express ourselves. Until now, Google analyzed word by word within the search phrase. But now, it will be able to relate each of those individual words and associate them to understand the context of the phrase that the user has used in their search.
BERT helps a machine understand what words in a sentence mean, but with all the nuances of the context. Until now, Google's search engine omitted connectors (prepositions, etc.), because they were not words with a meaning in themselves, but a simple preposition can change the context of a sentence and, consequently, the result of the search.
Google Search Vice President Pandu Nayak wrote on October 25: “With the latest advances from our team of researchers in the science of language understanding, made possible by machine learning, we are significantly improving the way w
Pandu Nayak himself provides a real-life example. Before BERT, the search “2019 travel from Brazil to the United States requires a visa” returned an article from the Washington Post about traveling to Brazil from the United States; the search engine did not understand the importance of the preposition “to” in the sentence. With BERT, the search engine returns as its first result the website of the American embassy in Brazil, specifically, a page about visas for Brazilian tourists:
pgr_bert
How can BERT affect B2B companies?
Google is rapidly improving at understanding natural language. When it comes to SEO optimization, companies must increasingly think like users and write content for them and not for their own company. This change is very important because Google is working to better understand the user's query and better match it with the most relevant results. In addition, it creates a significant adjustment in the SEO of companies, because 10% of all queries have been affected by this update and that is a big change in SEO.