Basically we can read that from the content structure in HTML currently, and figure out so oh this looks like from all the natural language processing that we did on this on this whole text material here that we got it looks like this is mostly about topic A, pet food. If if you take place to have material on a page that is not related to the primary subject of the of the rest of the material, we may not provide it as much of a factor to consider as you believe. From NLP, G can recognize a page is about subject X, then ID additional content vs main content, boilerplate, etc.

Basically we can read that from the content structure in HTML already, and figure out so oh this looks like from all the natural language processing that we did on this on this entire text content here that we got it looks like this is primarily about topic A, pet food. If if you occur to have material on a page that is not related to the main subject of the of the rest of the material, we might not give it as much of a factor to consider as you believe. From NLP, G can determine a page is about subject X, then ID extra material vs main content, boilerplate, and so on.

site-tuning