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  2. RankBrain - Wikipedia

    en.wikipedia.org/wiki/RankBrain

    RankBrain has allowed Google to speed up the algorithmic testing it does for keyword categories to attempt to choose the best content for any particular keyword search. This means that old methods of gaming the rankings with false signals are becoming less and less effective, and the highest quality content from a human perspective is being ...

  3. Keyword research - Wikipedia

    en.wikipedia.org/wiki/Keyword_research

    Google offers free tools to do some basic keyword analysis. All the results are based on data from the Google search engine. Google recently [when?] released an update to the Google Keyword Planner and changed some of its policies by which the first campaign must be set to get the Keyword Planner back. This is a type of Google Ads account that ...

  4. Keyword density - Wikipedia

    en.wikipedia.org/wiki/Keyword_density

    Today, the overuse of keywords, a practice called keyword stuffing, will cause a web page to be penalized. The formula to calculate your keyword density on a web page for SEO purposes is (/), where Nkr is how many times you repeated a specific keyword, and Tkn the total words in the analyzed text. The result is a keyword density value.

  5. PageRank - Wikipedia

    en.wikipedia.org/wiki/PageRank

    PageRank is Google's indication of its assessment of the reputation of a webpage: It is non-keyword specific. Google uses a combination of webpage and website authority to determine the overall authority of a webpage competing for a keyword. [47] The PageRank of the HomePage of a website is the best indication Google offers for website ...

  6. Google Search - Wikipedia

    en.wikipedia.org/wiki/Google_Search

    Google Search (also known simply as Google or Google.com) is a search engine operated by Google. It allows users to search for information on the Web by entering keywords or phrases. Google Search uses algorithms to analyze and rank websites based on their relevance to the search query. It is the most popular search engine worldwide.

  7. Okapi BM25 - Wikipedia

    en.wikipedia.org/wiki/Okapi_BM25

    In information retrieval, Okapi BM25 (BM is an abbreviation of best matching) is a ranking function used by search engines to estimate the relevance of documents to a given search query. It is based on the probabilistic retrieval framework developed in the 1970s and 1980s by Stephen E. Robertson , Karen Spärck Jones , and others.

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