Google BERT Update in Oct 2019

Google BERT Update in Oct 2019

Throughout this year Google is regularly giving updates to their algorithms, and that causes rank fluctuations in the search results. So far in 2019, Google has already rolled out various approved core algorithm updates. Below you’ll find an up-to-date version of the confirmed and unconfirmed updates with additional resources and links to help you better understand the nature and impact of these changes.

On October 25th, Google announced that it had begun to implement its BERT (Bidirectional Encoder Representations from Transformers) algorithm. Per Google, BERT is said to impact 10% of all queries and is the search engine's "biggest leap forward in the past five years."

The algorithm was birthed out of an open-sourced project aimed at using neural networks to advance contextual understanding of content via natural language processing (NLP). 

We also updated all Google Algorithm Update on our digital marketing in Jaipur website.

In simple terms, BERT is meant to help better interpret a query by using a contextual understanding of the phraseology employed. This is done as the entire phrase is analyzed at once which lets BERT understand a keyword term according to all of the words used within it. This stands in contrast to models that look at language from left-to-right thereby pinning a word's understanding to that which preceded it.

Practically speaking, BERT helps Google to better understand the use of prepositions within a search query as well as to better comprehend words that have double meanings by using contextual understanding.

Google is making the largest change to its search system since the company introduced Rank Brain, almost five years ago. The company said this will impact 1 in 10 queries in terms of changing the results that rank for those queries.

Rolling out: - BERT started rolling out this week and will be fully live shortly. It is rolling out for English language queries now and will expand to other languages in the future.

Featured Snippets: - This will also impact featured snippets. Google said BERT is being used globally, in all languages, on featured snippets.

What is BERT? : - It is Google’s neural network-based technique for natural language processing (NLP) pre-training. BERT stands for Bidirectional Encoder Representations from Transformers.

It was opened-sourced last year and written about in more detail on the Google AI blog. In short, BERT can help computers understand the language a bit more like humans do.

When is BERT used? Google said BERT helps better understand the nuances and context of words in searches and better match those queries with more relevant results. It is also used for featured snippets, as described above.

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Google is creating the most important modification to its search system since the corporate introduced Rank Brain, almost five years ago. The company aforesaid this can impact one in ten queries in terms of fixing the results that rank for those queries.

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