Post by account_disabled on Feb 20, 2024 8:56:57 GMT
RankBrain is a machine learning system launched in 2015 that helps Google better understand users' search intent and provide them with the most relevant information. RankBrain adjusts the results by looking at the current query and based on the previous ones, taking into account their performance. Yes, it can display results without the exact words in the query. For example, when searching for "Height of an architectural landmark in Paris", Google immediately "understands" the user's intention to learn about the Eiffel Tower and provides relevant information, despite the fact that its name does not appear in the query. When creating content optimized for RankBrain, first of all, you need to focus on what your target audience wants to see when entering a certain search query.
Popular keywords in meta tags and texts will be ineffective without understanding the main purpose of users. Artificial Intelligence BERT algorithm In 2019, Google presented the updated BERT algorithm— a machine learning technique for training natural France Phone Number language processing based on a neural network. It became a real revolution in the way the search engine now processes queries. Yes, Google has even more opportunities to determine the context in queries, better interprets them and gives relevant results. For example, Google used to interpret queries word for word. With the release of the update , the system can analyze the entire phrase and reads the text in the search bar as the average user would: the whole thought, not individual words.
BERT is another clear confirmation that the method of entering a large number of keywords and texts that are not natural for people no longer " work " and only reduce the search ranking of a web resource. There is no need for specific optimization for the algorithm, the main thing to understand is that the context plays a decisive role. BERT did not replace RankBrain, but complemented it. Google uses several methods to understand a query. This means that BERT can be used both independently and in combination with Rankbrain or together with other algorithms depending on the nature of the search phrase. Read also : TOP 100 searches and popular questions on Google for the first half of 2022 Content value Structured and relevant texts are necessary for SEO promotion. But they are not enough.
Popular keywords in meta tags and texts will be ineffective without understanding the main purpose of users. Artificial Intelligence BERT algorithm In 2019, Google presented the updated BERT algorithm— a machine learning technique for training natural France Phone Number language processing based on a neural network. It became a real revolution in the way the search engine now processes queries. Yes, Google has even more opportunities to determine the context in queries, better interprets them and gives relevant results. For example, Google used to interpret queries word for word. With the release of the update , the system can analyze the entire phrase and reads the text in the search bar as the average user would: the whole thought, not individual words.
BERT is another clear confirmation that the method of entering a large number of keywords and texts that are not natural for people no longer " work " and only reduce the search ranking of a web resource. There is no need for specific optimization for the algorithm, the main thing to understand is that the context plays a decisive role. BERT did not replace RankBrain, but complemented it. Google uses several methods to understand a query. This means that BERT can be used both independently and in combination with Rankbrain or together with other algorithms depending on the nature of the search phrase. Read also : TOP 100 searches and popular questions on Google for the first half of 2022 Content value Structured and relevant texts are necessary for SEO promotion. But they are not enough.