Basic principles and nuances of website ranking

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When ranking websites, Google and Yandex rely on such characteristics as domain and donor trust, their age, relevance, and audience behavioral factors. Thanks to the ranking mechanism, the user receives the most accurate and correct answer from the standpoint of semantic meaning.

But guessing a person's intentions is not always possible. The greatest difficulties arise when a polysemantic term/name is entered into the search bar. In such a situation, Yandex and Google commercial property owners database use different approaches, since they use different ranking algorithms.

Site ranking in Yandex

Sometimes search engines resort to random guessing if the algorithms do not understand the meaning of the request and display pages close to the user's latest interests. Despite all the advantages of such ranking of sites, the problem of a filter bubble appears here. We are talking about a situation when a person becomes a prisoner of his own interests.

Let's say he searched for a certain brand of cars, Dali's works, or political news several times. After that, Google will try to focus on his favorite topics whenever possible. As a result, the user is cut off from new information by an info bubble.

Website Ranking in Google

Differences in Yandex and Google website ranking algorithms
Take a detailed look at the main differences between Yandex and Google website rankings.

Google
So, the main task of ranking sites is to give the most accurate answer to the search query, to provide a relevant page. However, the two most popular search engines have completely different results, as they use their own developments.

Google ranking mechanisms are hidden from users, and it is impossible to get official answers on this topic from company employees. There are only guesses spread by third-party experts and allowing us to draw conclusions about existing methods. It is only known for certain that Google mainly uses automatic algorithms, while manual ones are avoided. In addition, this search engine relies on fewer signals in constructing its results than Yandex.

Differences in website ranking algorithms

Yandex
There is much more information about ranking formulas freely available here. The system operates on the basis of the MatrixNet machine learning method and is built on a manual principle. In other words, assessors perform a search for specified key phrases every day and evaluate the relevance of the results.

It is difficult to say how many assessors are employed at Yandex, but it is obvious that we are talking about several thousand people on the company's staff. All of them are responsible for making search results cleaner, more useful and beautiful. Of course, Yandex also uses automatic technologies, but they are still inferior to the manual sorting method. Interestingly, at the end of 2020, Yandex took into account more than a thousand signals when ranking sites.

MatrixNet is based on assessors' data. However, the search engine's employees themselves are not able to change the site's position in the search results - the program uses their information to classify some pages as high-quality and others as low-quality for a specific request. Until recently, the company had a group of employees called upon to monitor the work of assessors and check the results of their activities manually.