Authority Score is not just a formula, it is a series of complex activities and tasks that require careful coordination and attention to the smallest details.
For our research, we selected data that we had at our disposal and applied machine learning to determine the importance of ranking factors.
Machine learning has been on everyone's lips for a while now, but what does it really mean?
Machine learning allows computer systems to “learn” and improve through the application of artificial intelligence.
Simply put, it was developed to give computers the ability to learn from experience and make decisions and predictions based on data without being explicitly programmed to do so.
Even though there has been a lot of discussion email database lists poland about artificial intelligence and how robots could enslave people in the near future, machine learning is still largely a human-supervised process.
Our backlink analysis team leaders manage a huge database, which is also one of the largest in SEMrush, so it made sense to use it as a basis for calculating the validity of the newly developed metric.
For the Authority Score, the team used a machine learning application called Learning to Rank .
The algorithm was trained to reach a substantial portion of the data.
To teach the model to evaluate domains, the team ran multiple experiments and trained the model on various datasets provided by SEMrush, such as organic search data and web traffic data.
The goal was to teach the model to understand how backlinks from a popular domain differ from backlinks from a less popular domain.
Authority Score SEMrush data
First, they collected multiple sets of data about a domain, including numerous backlink metrics, data on organic search traffic and positions, and web traffic.
Then, using these data sets, they taught the model to predict which domain is stronger.
In other words, which domain ranks higher and attracts more traffic.
However, the technical aspect is not the only ingredient in the development of new functionalities.
It is always important to experiment and test when you are trying to build something valuable that provides real utility to users.