One SEO professional was wondering about how the Google algorithm is trained. More specifically, they were wondering about how Google’s algorithm could be trained to understand whether there were real changes, or if things were being tested.
Is machine learning used? Or are human reviewers used?
John answered that for Search, at least for these types of general ranking updates, it’s not something where they have human reviews in the loop.
There is so much content out there, they are unable to review them all. Furthermore, many times, they also don’t have a clear yes or no understanding where somebody can go through a website and say “Oh, this page is a good one. Or this page is a bad one.” Something like this is just not scalable at all.
So these are all, essentially, algorithmic approaches that Google takes. And they do use a lot of machine learning.
It’s difficult to say, though, exactly which technology is used for which updates.
The SEO professional proceeded to ask if Google intends to integrate this kind of understanding into the core Google algorithm?
John explained that it’s always tricky to define exactly what is part of the core update, or the core algorithm.
He doesn’t really have an answer for that, because what usually happens is—when Google sees that an algorithm is working really well, they will then keep using that algorithm for a longer period of time.
At some point, you can call that as being “part of the core algorithm,” even if it’s not in a file called “core algorithm.”
This happens at approximately the 47:17 mark in the video.