It allows for a more accurate determination

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Of what exactly the user wants to find when entering a non-standard query. Tell me, dear Yandex, a movie where potatoes were grown on another planet. Yes, I'm exaggerating. But there are similar queries, and they need to be processed somehow. Palekh indexes the titles of all pages and tries to understand their meaning.


It then records the meaning as numbers and stores them in a multidimensional indonesia consumer email list matrix. When you enter a query, the algorithm also translates it into a numeric format and searches the database for the most appropriate title. This makes the search more useful and responsive. The next goal is to capture the meaning of the entire text, not just the title.


Things like this change the way we write texts. We need to think less and less about keywords and more and more about the meaning, usefulness, and, perhaps, the interestingness of the content. WE MAKE BLOGS FOR BUSINESS AND BRAND MEDIA Read more Neural networks recognize images By the way, neural networks have been working in Google and Yandex for a long time – in image search.