TF-IDF, term frequency–inverse document frequency, is, explained in short, from rookie to rookie, the relation of term usage frequency in the given document to usage frequency of this term in all documents containing it.
This relation mirrors how relevant is the given document for the given term in the manifold of all documents containing this term.
TF-IDF is successor of keyword density. Some non-demented SEO geriatrics can remind, what means keyword density: number of term's usage in the text divided through the number of all words in the text multiplied with 100. This formula is in reality both most used and wrong.
Well, i'm not your Wiki, and if you're in the full legal age and not banned by Google, you would find fast everything you need to know about keyword density and TF-IDF. I just say: nowadays TF-IDF is nearly the single numeric parameter of content quality. But this article is about something other - i've promised to share some freebies, right?
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