Jun 22, 2022
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BERT will improve Google's understanding of around 1 in 10 searches in English in the US "Especiallylonger, more conversational queries or searches Banner Design where prepositions such as 'for' and 'for' matter a lot for meaning, search will be able to understand the context of the words in your query," wrote Google in their blog post. . However, not all queries are conversational or include prepositions. Branded searches and shorter Banner Design phrases are just two examples of query types that may not require BERT's natural language processing. How will BERT impact my snippets? As we saw in the example above, BERT can affect the results that appear Banner Design in snippets when applied. In another example below, Google compares code snippets for the query "park on a hill with no sidewalk", explaining: "In the past, a query like this would confuse our systems - we gave too much importance to the Banner Design word 'sidewalk' and ignored the word 'no', not understanding how critical that word was to answering this question appropriately, so we were returning results for parking on a hill with a sidewalk . » Image source: Google. What is the difference between BERT and RankBrain? Some of BERT's capabilities Banner Design may seem similar to Google's first artificial intelligence method of understanding queries, RankBrain. But, these are two separate algorithms that can be used to inform search Banner Design results. “The first thing to understand about RankBrain is that it works alongside normal organic search ranking algorithms, and is used to make adjustments to the results calculated by those algorithms,” said Eric Enge, CEO of Perficient Digital. RankBrain adjusts the results by examining the current Banner Design query and looking for similar past queries. Next, it examines the performance of search results for these historical queries. “Based on what it sees, RankBrain can adjust the results output of normal organic search ranking algorithms,” Enge said. RankBrain also helps Google interpret search queries so it can show results that may not contain the exact words in the query. In the example below, Banner Design Google was able to understand that the user was looking for information on the Eiffel Tower, while the name of the tower did not appear in the query "height of the monument in Paris".