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1 Ans Google starts to use Bidirectional Encoder Representation from Transformation (BERT) and neural networking for update searching algorithm

Asked by Birds of the sky (2 Golds) Monday, 28 Oct 2019, 12:26 PM at (Technology Internet)

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People now search or search Google a lot. Every day billions of questions are being answered by Google. Google is changing the search algorithm to better understand human search terms and find relevant answers. Google is using their neural networking approach.

Google claims that this update will make at least one of every 4 search results relevant. The update will be available in English only initially. Google will bring the benefits to other languages ​​later.

People now search or search Google a lot. Every day billions of questions are being answered by Google. Google is changing the search algorithm to better understand human search terms and find relevant answers. Google is using their neural networking approach.

Google claims that this update will make at least one of every 4 search results relevant. The update will be available in English only initially. Google will bring the benefits to other languages ​​later.

The update was introduced through machine learning based language recognition techniques. The technique is named 'Bidirectional Encoder Representations from Transformations' (BERT).

Google will show search results by adjusting every word consistently through BERT. The update will also give Google the right answer to long questions instead of keywords.

Answered by Birds of the sky (2 Golds) Monday, 28 Oct 2019, 12:26 PM

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