Google's algorithm has already evolved to be able to make sense of the words in a text and even interpret the search Australia Mobile Number Database intentions of users. Do you think that, with all that search engine intelligence, it is possible to do just the basics of SEO to get results? Professionals in the area must understand how the algorithm thinks and adopt Australia Mobile Number Database optimization approaches that meet their expectations in order to have good ranking results. And those optimizations are getting more and more Australia Mobile Number Database sophisticated. This is the case, for example, of what we will talk about in this article: TF-IDF, an on-page optimization approach .
This acronym represents a way in which Google statistically determines the importance of a keyword or phrase by analyzing hundreds Australia Mobile Number Database or thousands of documents. By understanding the Australia Mobile Number Database intelligence behind this search tool, you can adopt better on-page SEO strategies and stand out from the competition. In this text Australia Mobile Number Database you will learn: What is TF-IDF? TF-IDF is a statistical calculation adopted by the Google algorithm to measure which terms are most relevant to a subject , by analyzing how often they appear on a page, compared to their frequency on a larger set of pages. TF-IDF is not an Australia Mobile Number Database exclusive SEO concept. It is used in different information retrieval systems.
These include Internet search engines, but also library and text mining systems, for example. The calculation serves as a term Australia Mobile Number Database weighting factor , that is, to understand the importance of a specific term or phrase for a given document. But, ever since you read the title of this article, you must be wondering: TF- what? So, let's understand what this acronym means. TF-IDF stands for Term Frequency - Inverse Australia Mobile Number Database Document Frequency. This expression can be translated into Spanish as "Frequency of the Term - Inverse Frequency of the Documents". It's still not very clear, is it? So, let's Australia Mobile Number Database go by parts. TF refers to the "term frequency".