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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    In our last article, we discussed all of the major components of on-site search optimization, starting with behind-the-scenes meta data and moving into each part of the visible page content (headers, text, and images). Because so many different factors go into advanced content optimization for each piece of writing that gets published on a site, we decided to break that o ...

    ImageWorks Creative- 7 readers -
  • Google’s Query Language

    … repository was intended to be searchable. it provides access to documents, and to facts and a mix of text and graphics and multimedia, and content presented in HTML markup code, and languages such as javascript. This kind of document can be located by a Uniform Resource Locator (URL), or a Web address. The fact repository has a number of moving…

    Bill Slawski/ SEO by the Seain Google Facebook- 25 readers -
  • More than Keywords: 7 Concepts of Advanced On-Page SEO

    …. While Google doesn't reveal the exact details of its algorithm, over the years we've collected evidence from interviews, research papers, US patent filings and observations from hundreds of search marketers to be able to explore these processes. Special thanks to Bill Slawski, whose posts on SEO By the Sea led to much of the research for this work…

    Moz Blogin SEO Google- 25 readers -
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