Post by account_disabled on Feb 27, 2024 0:07:28 GMT -4
In this article, we will analyze the nuances of the operation of the BERT (Bidirectional Encoder Representations from Transformers) algorithm from Google. How does BERT affect the promotion of sites in Google? Is it a threat to your web project? How to resist the "terrible" search algorithm and is it necessary at all? We will also present a script for adapting the web resource to this large-scale search update. 4 answers to key questions about the BERT algorithm Read also : How to get an increase of + 84.5% of free traffic even with seasonality decline To whom will information about the BERT algorithm be useful? We answer: for publishers promoting their resources on Google; for those who develop and optimize information portals; for owners of commercial sites, where there is a section with text content (blog).
What is the BERT algorithm? BERT is a purpose-built analytics tool that helps explore the context of user searches. Also, BERT allows the search EL Salvador Mobile Number List engine to effectively recognize natural language speech. The algorithm works on the principle of clarifying the content of the web document with the user's request. With: the algorithm interacts with all the words used in the search command, i.e., the context of one word is examined by BERT by analyzing all the verbal structures that "frame" it (previously, an organized set of words was taken into account, for example, their sequence from the left part of the query to the right ( and vice versa)); the BERT algorithm works (presumably) exclusively with voluminous queries in which prepositions play a decisive role (that is, branded and short-tailed queries are not of interest to the new algorithm).
In December 2019, information appeared that BERT began to better understand keywords and phrases in the Ukrainian language. This contributes to the formation of more relevant search results in the UA segment. Accordingly, the faster sites adapt to BERT, the more chances they will have to maintain positions. Read also : Long tail keywords are a significant part of site SEO optimization What is the main impact of the BERT algorithm? We list: on the ranking of search results when using voice search (clarification: previously the processing of voice commands by the search engine was carried out using the analysis of key structures; now Google will use the BERT algorithm to focus on the semantic completeness of the entire query structure); for reference: today BERT is used to build advanced search snippets in more than 70 languages; for the generation of classic fragments (as it was before.
What is the BERT algorithm? BERT is a purpose-built analytics tool that helps explore the context of user searches. Also, BERT allows the search EL Salvador Mobile Number List engine to effectively recognize natural language speech. The algorithm works on the principle of clarifying the content of the web document with the user's request. With: the algorithm interacts with all the words used in the search command, i.e., the context of one word is examined by BERT by analyzing all the verbal structures that "frame" it (previously, an organized set of words was taken into account, for example, their sequence from the left part of the query to the right ( and vice versa)); the BERT algorithm works (presumably) exclusively with voluminous queries in which prepositions play a decisive role (that is, branded and short-tailed queries are not of interest to the new algorithm).
In December 2019, information appeared that BERT began to better understand keywords and phrases in the Ukrainian language. This contributes to the formation of more relevant search results in the UA segment. Accordingly, the faster sites adapt to BERT, the more chances they will have to maintain positions. Read also : Long tail keywords are a significant part of site SEO optimization What is the main impact of the BERT algorithm? We list: on the ranking of search results when using voice search (clarification: previously the processing of voice commands by the search engine was carried out using the analysis of key structures; now Google will use the BERT algorithm to focus on the semantic completeness of the entire query structure); for reference: today BERT is used to build advanced search snippets in more than 70 languages; for the generation of classic fragments (as it was before.