Tf-Idf

tf–idf, short for term frequency–inverse document frequency, is a numerical statistic that is intended to reflect how important a word is to a document in a collection or corpus. It is often used as a weighting factor in information retrieval and text mining.The tf-idf value increases proportionally to the number of times a word appears in the document, but is offset by the frequency of the word in the corpus, which helps to control for the fact that some words are generally more common than others.Variations of the tf–idf weighting scheme are often used by search engines as a central tool in scoring and ranking a document's relevance given a user query.
Posts about Tf-Idf
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    … no choice but to do the same or risk getting left behind. In part three of our three-part series on modern search optimization, we’ll elaborate on how we maintain an optimized site or piece of content to stay relevant and improve rankings over time. Remember, SEO isn’t a sprint. It’s more like a marathon. We’re prepared for the long run. Are you? Contact us to discuss advanced content optimization today! …

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  • Google’s Query Language

    … query terms (a hit) in one of the attribute, value, or source portion of the fact. Each hit is scored based on the frequency of the term that is hit, with more common terms getting lower scores, and rarer terms getting higher scores (e.g., using a TF-IDF based term weighting model). The fact score is then adjusted based on additional factors…

    Bill Slawski/ SEO by the Seain Google Facebook- 13 readers -
  • More than Keywords: 7 Concepts of Advanced On-Page SEO

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    Moz Blogin SEO Google- 15 readers -
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