How the quality of your site search in Yandex is measured and improved and improved

How the quality of your site search in Yandex is measured and improved and improved

  • Principles for the development of your site search in Yandex
  • How amendments are evaluated in the search algorithms for your site in Yandex
    • Proxima in Yandex
    • Very to Yandex
    • Measurement rules and basic factors affecting the surplus of your site in Yandex

Yandex is actively working on improving the search work. Each change in the search algorithms is aimed at increasing its effectiveness for users.

Principles for the development of your site search in Yandex

The main goal of the search is to provide the user with complete, useful and relevant information that will help him solve the problem quickly and without unnecessary effort.

The search results is completely formed by machine-scientific algorithms, which ensures the impartial results. Manual intervention in changes in the procedure for displaying results is impossible.

To search for the most suitable pages, the search takes into account many factors, including the user's request, the content of the pages, the interaction with them, the connection between the pages, as well as the user location. Algorithms automatically evaluate the quality of the system using metrics, which are calculated on the basis of data on interaction with the search results.

For machine learning, data on user interactions with the results of the search, as well as the assessment of specialists (asssorov) are used, who manually check the relevance and quality of the results. To ensure objectivity, assessments of the assessors are controlled by a system that includes hiring, training and tools for working with grades. These estimates help improve ranking algorithms, but are not used directly to influence the results of the search.

All changes in the ranking system go through the automatic introduction of new algorithms, are controlled using metrics based on users (proxima) data and interaction with the search results (surplus).

How amendments are evaluated in the search algorithms for your site in Yandex

Each possible change in search algorithms is estimated by two key metrics:

  • Proxima is a pages quality metric, which is based on pages from the index and other data quality.
  • The surplus is a metric of usefulness, which is determined on the basis of the interaction of users with the search results.

To assess the quality of the search, Yandex actively uses the assessors that help assess the relevance and quality of specific sites and results. These estimates help to understand how useful a change in users is, but they do not affect the ranking directly.

To check the changes, online experiments are held, in which users are randomly divided into two groups: one sees the current version of the search, and the other is a new one. Having collected the data, experts conclude whether the change is positive for users, using key metrics of quality, the main of which is the surplus.

Proxima in Yandex

The metric of proxima is based on assessments of the assessors and additional signals about the quality of content. Includes many factors for an accurate assessment of page quality:

  • The relevance of the page with a request (including on expert estimates of specialists in different fields);
  • The probability of solving the user problem on the page and site;
  • Quality, usefulness and originality of content;
  • Balance of utility and obsession of content;
  • Signals about the quality of content and authority of the source in specialized areas (medicine, legal and financial services, etc.);
  • Convenience of content consumption by the user.

The metric of proxima continues to develop, including new signals about the quality of pages and solving user problems.

Very to Yandex

The metric surplus evaluates the usefulness of issuing, that is, how effectively, users solve their problems through search results.

It takes into account both the quantity and the quality of user interactions with the search results. For the formation of the issuance, those elements that are of the greatest value in the predicted surplus are selected.

The system also optimizes the location of the elements on the page in order to increase the predicted value of the surplus and proxima for the entire issuance. If the actual surplus differs from the expected, the algorithm adjusts the results in the process of retraining.

Measurement rules and basic factors affecting the surplus of your site in Yandex

The surplus is calculated according to the following rules:

  • Each user’s interaction with elements of issuance is evaluated as successful or unsuccessful.
  • If the interaction is recognized as successful (for example, the user has switched to the site and did not return for a long time), the metric increases.
  • If the interaction is unsuccessful (for example, the user quickly returned to the page with the search results), the metric decreases. Particular attention is paid to large and noticeable elements.
  • If the search results does not help the user solve the problem, the metric also decreases.

The metric takes into account both clicks on links and actions without clicks (for example, if the user has found the necessary information in a factory answer). All these interactions can affect the metric, increasing it.

For more information and consultations on SEO issues for your site, you can contact our team through email: info@seo.computer or through WhatsApp: +79202044461.

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