How Google ranking works: explained by Gary Ilsh

The source –

Google employee Gary Ilsh explained how the search engine ranks search results in part two of the Search Off The Record podcast, which was released on July 6.

So, first, Google reduces the number of those pages that can be ranked for a specific query to a small list. For example, 1000 pages. The search engine then applies ranking signals to this abbreviated list, so-called "magic signals".

Initially, in order to create a shortened list, Google checks the relevance and relevance based on the request and the page content.

Then the search engine:

  • uses a special method to create a list in reverse order;
  • removes what it cannot list;
  • gets a list of, say, 1000 pages;
  • applies ranking signals to the abbreviated list to make the result set more relevant to the user's query.

RankBrain and HTTPS are considered examples of magic signals.

Google is cutting back on the number of pages it can return on demand, after which ranking algorithms and magic signals work with this reduced set.

There is also news about how Google ranks this abbreviated list of pages. According to Ilsh, the ranking is now based on numbers. Each result is assigned a specific point. It is calculated using signals collected during indexing and other signals. What users see in the search results is a ranked list based on the numbers / points assigned to the search results.

"Magic Signals" such as RankBrain multiply the points assigned to each result by a certain number. As a result, this result will rise in the final set. If Google, for some reason, wants to remove a result from the set, then it can multiply its score by 0. With this approach, it is unlikely that the pages will have the same score.

HTTPS is the deciding factor and only gives a small boost in rankings. Decisive factors do not reorganize search results until there is a "tie" and the need to understand which result to give preference.


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