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  2. Keyword research - Wikipedia

    en.wikipedia.org/wiki/Keyword_research

    Keyword research is a practice search engine optimization (SEO) professionals use to find and analyze search terms that users enter into search engines when looking for products, services, or general information. Keywords are related to search queries.

  3. RankBrain - Wikipedia

    en.wikipedia.org/wiki/RankBrain

    RankBrain is a machine learning -based search engine algorithm, the use of which was confirmed by Google on 26 October 2015. [1] It helps Google to process search results and provide more relevant search results for users. [2] In a 2015 interview, Google commented that RankBrain was the third most important factor in the ranking algorithm ...

  4. Google Search - Wikipedia

    en.wikipedia.org/wiki/Google_Search

    C++ [2] 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 Internet 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.

  5. Keyword clustering - Wikipedia

    en.wikipedia.org/wiki/Keyword_clustering

    Keyword clustering is a fully automated process performed by keyword clustering tools. The term and the first principles were first introduced in 2015 by the Russian search engine optimization expert Alexey Chekushin. [1] The SERP-based keyword clustering tool Just-Magic was released in the same year in Russia.

  6. Ranking (information retrieval) - Wikipedia

    en.wikipedia.org/wiki/Ranking_(information...

    Ranking of query is one of the fundamental problems in information retrieval (IR), the scientific/engineering discipline behind search engines. Given a query q and a collection D of documents that match the query, the problem is to rank, that is, sort, the documents in D according to some criterion so that the "best" results appear early in the result list displayed to the user.

  7. Okapi BM25 - Wikipedia

    en.wikipedia.org/wiki/Okapi_BM25

    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.

  8. PageRank - Wikipedia

    en.wikipedia.org/wiki/PageRank

    SERP rank. The search engine results page (SERP) is the actual result returned by a search engine in response to a keyword query. The SERP consists of a list of links to web pages with associated text snippets, paid ads, featured snippets, and Q&A. The SERP rank of a web page refers to the placement of the corresponding link on the SERP, where ...

  9. List of search engines - Wikipedia

    en.wikipedia.org/wiki/List_of_search_engines

    Desktop search product with Outlook plugin and limited support for other formats via IFilters, uses Lucene search engine. Proprietary (14-day trial) Nepomuk: Linux: Open-source semantic desktop search tool for Linux. Has been replaced by Baloo in KDE Applications from release 4.13 onward. License SA 3.0 and the GNU Free Documentation License 1. ...

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