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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    …. However, the simple presence of your keywords will never be enough to rank your content in today’s high-competition search environment, and if you overdo it, you can expect to be penalized. Today, there’s even more to it than keyword frequency. Google also has several patents that indicate the value of Term Frequency – Inverse Document Frequency (TF-IDF…

    ImageWorks Creativein SEO Content- 6 readers -
  • Google’s Query Language

    … never seen, and likely never will. You might take it as a piece of history that never happened, or a business lesson about choosing products carefully. Ease of finding information at Google This query language patent tells us about how easy it is to find web-based information: Many search engines exist to search the World Wide Web. The Google…

    Bill Slawski/ SEO by the Seain Google Facebook- 22 readers -
  • More than Keywords: 7 Concepts of Advanced On-Page SEO

    … of a given page. Both Microsoft and Google hold several patents suggesting content in the more relevant sections of HTML carry more weight. Content located in the main body text likely holds more importance than text placed in sidebars or alternative positions. Repeating text placed in boilerplate locations, or chrome, runs the risk of being discounted…

    Moz Blogin SEO Google- 21 readers -
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