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  2. Help:Searching - Wikipedia

    en.wikipedia.org/wiki/Help:Searching

    Advanced features of the Wikipedia search engine include multi-word proximity-searches (in which the user indicates how close the words in a phrase might be), wildcard searches, "fuzzy" ~ searches (handles typo-correction and questionable spelling), and several wiki-oriented operators and parameters for weighting and filtering.

  3. Proximity search (text) - Wikipedia

    en.wikipedia.org/wiki/Proximity_search_(text)

    The basic linguistic assumption of proximity searching is that the proximity of the words in a document implies a relationship between the words. Given that authors of documents try to formulate sentences which contain a single idea, or cluster of related ideas within neighboring sentences or organized into paragraphs, there is an inherent, relatively high, probability within the document ...

  4. Phrase search - Wikipedia

    en.wikipedia.org/wiki/Phrase_search

    Phrase search is one of many search operators that are standard in search engine technology, along with Boolean operators (AND, OR, and NOT), truncation and wildcard operators (commonly represented by the asterisk symbol), field code operators (which look for specific words in defined fields, such as the Author field in a periodical database ...

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  6. AOL

    search.aol.com

    The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

  7. AOL latest headlines, entertainment, sports, articles for business, health and world news.

  8. Get breaking news and the latest headlines on business, entertainment, politics, world news, tech, sports, videos and much more from AOL

  9. Nearest neighbor search - Wikipedia

    en.wikipedia.org/wiki/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.