Post by account_disabled on Feb 25, 2024 4:57:29 GMT -5
The have a machine learning model that essentially learns against Google search results and builds the best possible model it can. That model by the way throws away some of this stuff because its not useful and it adds in a bunch of this stuff like vectors or various attributes of each one. So it might say Oh anchor text distribution thats actually not useful but Domain Authority ordered by the root domains with more than links to them. Im making stuff up right But you could have those sorts of filters on this data and thus come up with very complex models.
Which is what machine learning is designed to do. All we have Czech Republic Mobile Number List to worry about is that this is essentially the best predictive score we can come up with based on the links. So its useful for a bunch of things. If were trying to say how well do we think this page might rank independent of all nonlink factors PA great model. Good data for that. Domain Authority Domain Authority is once you have the PA model in your head and youre sort of like Okay got it machine learning against Googles results to produce the best predictive score for ranking in Google. domain level.
So not subdomains just root domains which means its got some weirdness. It cant for example say thatrandfishkin blog spotcom is different thanlogspotcom But obviously a link from is way more valuable than from my personal subdomain at Blogspot or Tumblr or WordPress or any of these hosted subdomains. So thats kind of an edge case that unfortunately DA doesnt do a great job of supporting. What its good for is its relatively wellsuited to be predictive of how a domains pages will rank in Google. So it removes all the pagelevel information but its still operative at the domain level. It can be very.
Which is what machine learning is designed to do. All we have Czech Republic Mobile Number List to worry about is that this is essentially the best predictive score we can come up with based on the links. So its useful for a bunch of things. If were trying to say how well do we think this page might rank independent of all nonlink factors PA great model. Good data for that. Domain Authority Domain Authority is once you have the PA model in your head and youre sort of like Okay got it machine learning against Googles results to produce the best predictive score for ranking in Google. domain level.
So not subdomains just root domains which means its got some weirdness. It cant for example say thatrandfishkin blog spotcom is different thanlogspotcom But obviously a link from is way more valuable than from my personal subdomain at Blogspot or Tumblr or WordPress or any of these hosted subdomains. So thats kind of an edge case that unfortunately DA doesnt do a great job of supporting. What its good for is its relatively wellsuited to be predictive of how a domains pages will rank in Google. So it removes all the pagelevel information but its still operative at the domain level. It can be very.