Let's look at each of these events in a little more detail

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Google Bert
The new algorithm for generating search results from the American search giant is based on neural networks and is designed to better process natural language and distinguish the context of a search query. Simply put, Bert focuses on the context and all the words surrounding it, the very presence of a key query in the text has little significance. This should allow Google to issue the most relevant search results.

The previous RankBrain algorithm considered guatemala telegram database the results of previous queries when forming the search results, but Bert studies and analyzes all the content before and after the keyword. Optimizing a site by implementing keywords alone is becoming less and less effective; now it is necessary to create high-quality content that satisfies user queries.



Yandex Vega
At the end of December 2019, Yandex also introduced new search principles, taking its system to a more advanced level. The previous Palekh algorithm produced results based not only on the words themselves, but also on their meanings. Now, with the help of the Vega algorithm , Yandex will also highlight the most similar documents in meaning, clustering them into a database. Thus, the results will be based on semantic clusters, which should presumably make them even more relevant.

In addition, the domestic search engine has developed technologies for pre-loading results, which will enable a significant portion of users to find out the answer to a query without having to visit a specific site.



It should also be noted that Yandex is increasingly paying attention to the user's location, implementing the principles of hyperlocality. This means that if earlier the search results were generated for a specific city, now the capabilities have expanded and the search engine is able to search for information that is updated at the microdistrict level.