Post by nelsonelias on Feb 27, 2024 4:20:32 GMT
Searches done through a short chain of keywords are increasingly heading towards disappearance. For years the majority of people have typed queries like " best price hotel in Rome " into Google, obtaining satisfactory answers, but now we need to start thinking that a more natural lexicon helps the search engine to help us. The examples published on October 25, 2019 by Pandu Nayak , the vice president of Google, on the company blog make it clear what the fulcrum is that will change the positioning in SERP. In the post presenting BERT, the importance of the word "to" in the query " 2019 brazil traveler to usa need a visa " is highlighted, because it allows us to understand the true meaning of the phrase through the relationship it has with other words.
Nayak continues the explanation by saying: “It's about a Brazilian traveling to the United States, and not the other way around. Previously, our algorithms did not understand the importance of this connection and we returned Country Email List results on US citizens traveling to Brazil. With BERT, Search is able to pick up on this nuance and know that the very common word “to” actually matters a lot here, and we can provide a much more relevant result for this query.” Another example given to underline the revolution brought about by the new Google algorithm was that of the query "do estheticians stand a lot at work" in which previously the association of the term "stand-alone" in reference to "stand" changed the general meaning .
Now BERT can understand that the sentence refers to the location in which the subject works and, consequently, returns a series of answers adapted to what the person meant with that specific query. Featured snippets also have a before and after BERT , as we have already mentioned. When examining the query " Parking on a hill with no curb ", in the past the term "curb" was taken into great consideration by the search engine without appropriately evaluating the "no". Now this no longer happens (in searches done in the USA) and Google's answers are certainly better.
Nayak continues the explanation by saying: “It's about a Brazilian traveling to the United States, and not the other way around. Previously, our algorithms did not understand the importance of this connection and we returned Country Email List results on US citizens traveling to Brazil. With BERT, Search is able to pick up on this nuance and know that the very common word “to” actually matters a lot here, and we can provide a much more relevant result for this query.” Another example given to underline the revolution brought about by the new Google algorithm was that of the query "do estheticians stand a lot at work" in which previously the association of the term "stand-alone" in reference to "stand" changed the general meaning .
Now BERT can understand that the sentence refers to the location in which the subject works and, consequently, returns a series of answers adapted to what the person meant with that specific query. Featured snippets also have a before and after BERT , as we have already mentioned. When examining the query " Parking on a hill with no curb ", in the past the term "curb" was taken into great consideration by the search engine without appropriately evaluating the "no". Now this no longer happens (in searches done in the USA) and Google's answers are certainly better.