Principles of Search Results Ranking

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Variations . Using the logical "OR" in queries allows you to search documents that contain at least one word from the specified set. In Yandex, word variations are listed through "|", and Google requires the use of the OR service word, which must be specified between key variations in the search phrase.
Having mastered in practice and trained a little using these rules for forming a search query, you can quickly find the necessary material and save yourself from viewing information that is similar in semantics, but is not important in a particular case.

After a request for index search is submitted, a selection from the singapore cell phone number list database is built on its basis, containing links to pages that fully satisfy all specified conditions. As a rule, this selection is quite impressive even for carefully composed search phrases and can contain hundreds and thousands of pages. Giving it to the user in such an unprocessed form means condemning him to a complex manual search and analysis of the most suitable result. Therefore, after formation, the output is ranked using a fairly complex technology.

Ranking, or sorting, links to pages on the Internet in descending order of their usefulness to the user is a fairly complex and constantly improving process. Its main task is to provide the consumer with the most useful information that will fully answer his request.

It is ranking technologies that have the greatest impact on Internet marketing, directly determining the position of a site in search results. It is worth noting that the use of such technologies in Yandex began in 2009 and is constantly evolving through the introduction of new algorithms. Each upgrade can lead to a sharp change in the site's position, especially if the previous position was occupied not due to high-quality information content, but by using exclusively technical SEO promotion methods.

Reference: Since November 2009, Yandex has used the Matrixnet machine learning method, launched in the Snezhinsk algorithm. Since 2012, the Kaliningrad platform, developed on the basis of Matrixnet, has been used. In 2016, the Palekh algorithm appeared, in 2017 - Baden-Baden and Korolev.