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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.
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 ...
Discover the latest breaking news in the U.S. and around the world — politics, weather, entertainment, lifestyle, finance, sports and much more.
Desktop search product with Outlook plugin and limited support for other formats via IFilters, uses Lucene search engine. Proprietary (14-day trial) [7] 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 Has been replaced by Baloo in KDE Applications from release 4.13 onward.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 ...
Keyword searches give you a wide variety of results without having to perform an advanced search. You are able to search less and discover more! Type a desired word or phrase in the AOL Search field and hit the Enter key on your keyboard or Click the Search button. AOL Search will find the info you want.
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. AOL.
The AOL homepage can be pinned to your Start menu to avoid having to open your browser and manually enter the web address. Pinning an item to your Start menu creates a tile that acts like a shortcut to a website you use the most. Your pinned tiles can be found in the right panel of your Start menu. Just click the tile to open up the website on ...
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.