What Is Search Algorithm Update Image Masking

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raihan@
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Joined: Tue Jun 21, 2022 6:29 am

What Is Search Algorithm Update Image Masking

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oogle BERT stands for Bidirectional Encoder Representations Image Masking from Transformers and is a core search algorithm update to improve Google's language understanding capabilities. BERT is one of the biggest updates Google has made since RankBrain in 2015 and has succeeded in understanding the searcher intent behind a search query. Check out: How to prepare your site for the new Google Page Experience update Click here to Image Masking download it for free now! We've helped Fortune 500 companies, VC-backed startups, and businesses like yours grow revenue faster.

Get a free consultation How does Google BERT work? Let's Image Masking understand what BERT can do with the help of an example query: Capture.1 Here, the researcher's intent is to find out whether a patient's family member can retrieve a prescription on their behalf. Here is what Google returned before BERT: Capture.2 As you can see, Google returned an unsatisfactory search result because it couldn't process the meaning of the word "someone" in the query. Here's what Google returned after integrating BERT systems Image Masking into the core algorithm: After This search result exactly answers the searcher's question. Google has now understood the meaning of the word "someone" in

the correct context after processing the entire query. Instead of processing Image Masking one word at a time and not assigning substantial weight to words like “someone” in a specific context, BERT helps Google process each word in the query and assigns them a token. This results in much more accurate search results. In another example, the query is "adult math practice book", where the searcher is looking to buy adult math books: Math practice Prior to BERT, Google returned results suggesting books for grades 6-8, which is incorrect. Google provided Image Masking this answer because the description contains the phrase "young adult",
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