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  2. Local search engine optimisation - Wikipedia

    en.wikipedia.org/wiki/Local_search_engine...

    Internet marketing. Local search engine optimization ( local SEO) is similar to (national) SEO in that it is also a process affecting the visibility of a website or a web page in a web search engine 's unpaid results (known as its SERP, search engine results page) often referred to as "natural", "organic", or "earned" results. [ 1]

  3. Search engine optimization - Wikipedia

    en.wikipedia.org/wiki/Search_engine_optimization

    Internet marketing. Search engine optimization ( SEO) is the process of improving the quality and quantity of website traffic to a website or a web page from search engines. [ 1][ 2] SEO targets unpaid traffic (known as "natural" or "organic" results) rather than direct traffic or paid traffic. Unpaid traffic may originate from different kinds ...

  4. Wikipedia, the free encyclopedia

    en.wikipedia.org/wiki/Main_Page

    The splendid fairywren ( Malurus splendens) is a passerine bird in the Australasian wren family, Maluridae. It is found across much of the Australian continent from central-western New South Wales and southwestern Queensland over to coastal Western Australia. It inhabits predominantly arid and semi-arid regions.

  5. AOL Mail

    mail.aol.com

    You can find instant answers on our AOL Mail help page. Should you need additional assistance we have experts available around the clock at 800-730-2563.

  6. Search engine - Wikipedia

    en.wikipedia.org/wiki/Search_engine

    Some engines suggest queries when the user is typing in the search box. A search engine is a software system that provides hyperlinks to web pages and other relevant information on the Web in response to a user's query. The user inputs a query within a web browser or a mobile app, and the search results are often a list of hyperlinks ...

  7. Nearest neighbor search - Wikipedia

    en.wikipedia.org/wiki/Nearest_neighbor_search

    Nearest neighbor search. Nearest neighbor search ( NNS ), as a form of proximity search, is the optimization problem of finding the point in a given set that is closest (or most similar) to a given point. Closeness is typically expressed in terms of a dissimilarity function: the less similar the objects, the larger the function values.

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